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Cost Comparison of 2 Video Laryngoscopes in a Large Academic Center

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Cost Comparison of 2 Video Laryngoscopes in a Large Academic Center

From the Department of Anesthesiology, Thomas Jefferson University and Hospitals, Sidney Kimmel Medical College, Philadelphia, PA, and Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Objective: Retrospective study examining hospital cost information of patients requiring endotracheal intubation with video laryngoscopy. Provide a practical cost assessment on use of the McGRATH and GlideScope video laryngoscopes (VLs).

Methods: This study examined 52 hospital locations within a single, large university hospital, with most of those locations being hospital operating rooms. A total of 34 600 endotracheal intubations performed over 24 months, of which 11 345 were video laryngoscopies. Electronic medical records containing demographic data and information related to endotracheal intubation procedures, with monthly breakdowns between GlideScope and McGRATH intubations, were reviewed. Cost information calculated for equipment, blades, batteries, repairs, and subsequent analysis performed to determine cost differences between those 2 instruments during the COVID-19 period.

Results: A total of 5501 video laryngoscopy procedures were performed using the McGRATH VL and 5305 were performed using the GlideScope VL. Costs over 24 months were $181 093 lower (55.5%) for McGRATH compared to GlideScope. The mean (SD) monthly costs for GlideScope blades were $3837 ($1050) and $3236 ($538) for years 1 and 2, respectively, vs $1652 ($663) and $2933 ($585) for McGRATH blades (P < .001). Most total cost differences were attributed to equipment and blade purchases, which were $202 595 (65.0%) higher for GlideScope. During the COVID-19 period, the use of the McGRATH increased to 61% of all video laryngoscopy cases, compared to 37% for GlideScope (P < .001). Blade cost difference for the COVID-19 period was $128 higher for the McGRATH even though 293 more intubations were performed with that device.

Conclusions: Use of the McGRATH resulted in a cost savings of 55% compared to the GlideScope, and its use was highest during the COVID-19 period, which may be explained by its more portable and practical features.

Keywords: video laryngoscope; McGRATH; GlideScope; endotracheal intubation; hospital costs; COVID-19.

Hospitals have come to rely on video laryngoscopes (VLs) for tracheal intubation as necessary tools for better visualization of airways. Modern video laryngoscopy developed in the 2000s1 as a progression from direct laryngoscopy, which began in 1852 when Horace Green used a bent tongue spatula and sunlight to examine a child.2 VLs have seen many improvements and adaptations of their own, resulting in many different styles and types circulating around hospitals. The GlideScope (Verathon Inc, Bothell, WA) and the McGRATH (Medtronic, Minneapolis, MN) are examples of such instruments, which are now widely used in the US and are the 2 VLs of choice at our institution.

 

 

A few studies have compared VLs to direct laryngoscopes. In their systematic review, Lewis et al have shown the numerous benefits of using a VL over a direct laryngoscope. Some general conclusions were that the use of video laryngoscopy reduced the number of failed intubations, decreased laryngeal trauma, and provided improved visualizations.3 Other studies have compared the different types of VLs, including the McGRATH and the GlideScope, examining factors such as intubation time and display quality of the image. Two studies found that medical students were equally successful at using both the McGRATH and the GlideScope,4,5 while another study found that care providers using the GlideScope had quicker intubation times.6 Lastly, Savoldelli et al concluded that more providers preferred the McGRATH, which provided better laryngeal views,7 while their subsequent study showed more favorable learning curves of the Airtraq compared to the McGRATH and other VLs.8

Although there have been no reported differences in safety and effectiveness of the McGRATH and GlideScope devices, cost data on the use of these 2 popular laryngoscopes are lacking. Such information is important considering the increasing costs of medical technologies and the significant financial losses experienced by health care systems due to the COVID-19 crisis. The purpose of this retrospective cohort study was to compare the cost efficiency of the McGRATH MAC and GlideScope Core VLs at a large academic center.

Methods

This retrospective study was performed under exemption from the Thomas Jefferson University Institutional Review Board. The primary data sources consisted of hospital electronic patient records (EPIC) and cost information from the device manufacturers and hospital staff. The electronic patient data were provided by the EPIC Enterprise Analytics Business Intelligence group at Thomas Jefferson University Hospital (Center City Campus, Philadelphia, PA), while device costs were obtained from Verathon, Medtronic, and departmental staff responsible for purchasing equipment. Monthly data were obtained over a 24-month period (June 2018 through May 2020) when the McGRATH VL was placed into use in the department of anesthesiology. The 2 types of VLs were made available for use in a total of 52 locations, with the majority being hospital operating rooms.

The following variables were recorded: number of endotracheal intubations performed each month with breakdown between video laryngoscopy and flexible bronchoscopy airways, frequency of use for each type of laryngoscope, blades used, and equipment costs for use of each laryngoscope. Hospital cost estimates for both the McGRATH and GlideScope laryngoscopes included batteries, handles, blades, and the devices themselves. Cost data were also collected on frequency of device failure, maintenance, and replacement of parts and lost equipment.

Analysis

De-identified electronic medical records consisted of nominal and quantitative variables, with demographic data and information related to the endotracheal intubation procedure. All data were in chronological order and sorted by date after which coding was applied, to identify device type and allocate pertinent cost information. Descriptive statistics were reported as mean (SD) and sum for costs; frequency tables were generated for intubation procedures according to device type and time periods. Data were analyzed using the χ2 test, the student t test, and the Wilcoxon Mann-Whitney U test, with a P value set at .05 for statistical significance. SPSS version 26 and GraphPad Prism version 6 were used for all statistical analyses.

 

 

Results

A total of 34 600 endotracheal intubations were performed over the 24-month study period, and 11 345 (32.8%) were video laryngoscopy procedures. Out of all video laryngoscopy procedures, 5501 (48.5%) were performed using the McGRATH VL and 5305 (46.8%) were conducted using the GlideScope VL. The difference of 539 (4.8%) cases accounts for flexible bronchoscopy procedures and endotracheal intubations using other video laryngoscopy equipment. The mean (SD) monthly number of video laryngoscopy procedures for the 24 months was 221 (54) and 229 (89) for the GlideScope and McGRATH devices, respectively. Monthly endotracheal intubation distributions over 24 months trended upward for the McGRATH VL and downward for the GlideScope, but there was no statistically significant (P = .71) difference in overall use between the 2 instruments (Figure 1).

To examine the observed usage trends between the 2 VL during the first and last 12 months, a univariate ANOVA was conducted with the 2 time periods entered as predictors in the model. Video laryngoscopy intubations were performed (P = .001) more frequently with the GlideScope during the first 12 months; however, use of the McGRATH VL increased (P < .001) during the following 12 months compared to GlideScope. The GlideScope accounted for 54% of all VL intubations during the first 12 months, with the McGRATH accounting for 58% of all video laryngoscopy procedures for months 12 to 24. Additionally, the increase in video laryngoscopy procedures with the McGRATH during the last 3 months of the study period was despite an overall reduction in surgical volume due to the COVID-19 crisis, defined for this study as March 1, 2020, to May 31, 2020 (Figure 1). There was a statistically significant (P < .001) difference in the case distribution between use of the McGRATH and GlideScope VL for that period. The anesthesia personnel’s use of the McGRATH VL increased to 61% of all video laryngoscopy cases, compared to 37% for the GlideScope (Figure 2).

The total costs calculated for equipment, blades, and repairs are presented in Table 1 and yearly total costs are shown in Figure 3. Overall costs were $181 093 lower (55.5%) for the McGRATH VL compared to the GlideScope over the 24-month period. The mean (SD) monthly costs for GlideScope VL blades were $3837 ($1050) and $3236 ($538) for years 1 and 2, respectively, vs $1652 ($663) and $2933 ($585) for the McGRATH VL blades. Most of the total cost differences were attributed to equipment and blade purchases, which were $202 595 (65.0%) higher for the GlideScope compared to the McGRATH VL. The monthly blade costs alone were higher (P < .001) for the GlideScope over the 2-year period; however, the McGRATH VL required use of disposable stylets at a cost of $10 177 for all endotracheal intubations, compared to $700 for the GlideScope device.

An analysis was performed to determine whether costs differed between those 2 instruments during the COVID-19 period. There was a statistically significant (P < .001) difference in the case distribution between use of the McGRATH and GlideScope VLs during that period. The calculated blade cost difference for the COVID period was $128 higher for the McGRATH even though 293 more intubations were performed with that device (Table 2).

Discussion

We attempted to provide useful cost estimates by presenting pricing data reflecting the approximate cost that most large institutional anesthesia practices would incur for using those 2 specific devices and related peripherals. The main findings of our analysis showed that use of the McGRATH MAC VL resulted in a 55% cost savings compared to the GlideScope, with a similar number of cases performed with each device over the 24-month study period. We believe this represents a substantial savings to the department and institution, which has prompted internal review on the use of video laryngoscopy equipment. None of the McGRATH units failed; however, the GlideScope required 3 baton replacements.

 

 

Of note, use of the McGRATH MAC increased during the COVID-19 period, which may be explained by the fact that the operators found it to be a more portable device. Several physicians in the department commented that its smaller size made the McGRATH MAC more practical during the time when a plexiglass box was being used around the patient’s head to shield the intubator from aerosolized viral particles.

Although this study demonstrated the cost-saving value of the McGRATH over the GlideScope, a suggested next step would be to examine resource utilization related to video laryngoscopy use. The more dynamic tracking of the use of these devices should facilitate the assessment of existing related resources and decision making, to optimize the benefits of this initiative. We would anticipate reduced use of anesthesia personnel, such as technicians to assist with the management of this device which could be significant. As new respiratory viruses are appearing each year, video laryngoscopy will continue to gain increasing use in operating rooms and acute care locations. The adding of protective barriers between patients and providers calls for use of the most practical and effective VL devices, to protect personnel who are at high risk of contamination from airway secretions and aerosolized particles.9,10

The COVID-19 pandemic has demonstrated the value of anesthesiology in regards to analyzing and finding solutions to effectively manage infected patients or those suspected of infection in the perioperative environment. Inexpensive products are often avoided because cheaper devices are associated with being of lower quality. However, the association with cost and quality—and the assumption that a higher price is positively correlated with higher quality—is overall inconsistent in the medical literature.11 A more effective or higher quality treatment does not necessarily cost more and may actually end up costing less,12 as was the case in this study. We have been able to directly cut departmental expenses by using a more efficient and cost-effective device for intubations, without compromising safety and efficacy. Future studies should determine whether this significant reduction in costs from video laryngoscopy intubations with the McGRATH VL will be sustained across anesthesiology departments in the Jefferson Health Enterprise Hospitals, or other health systems, as well as its impact on workflow and personnel resources.

This analysis was restricted to one of the campuses of the Jefferson Health Enterprise. However, this is the largest anesthesia practice, encompassing several locations, which should reflect the general practice patterns across other anesthesiology departments in this large institution. The costs for the devices and peripherals may vary across anesthesia practices depending on volume and contracts negotiated with the suppliers. It was not possible to estimate this variability, which could change the total costs by a few percentage points. We recognize that there may be other costs associated with securing the McGRATH VL to prevent loss from theft or misplacement, which were not included in the study. Lastly, the inability to obtain randomized samples for the 2 groups treated with each device opens up the possibility of selection bias. There were, however, multiple intubators who were free to select 1 of the devices for endotracheal intubation, which may have reduced the effect of selection bias.

 

 

Conclusion

This study demonstrated that over a 24-month period use of the McGRATH MAC VL resulted in a cost reduction of around 55% compared to using the GlideScope for endotracheal intubation procedures performed at a major academic center. Over the first 3 months of the COVID-19 crisis, which our study included, use of the McGRATH VL increased while GlideScope use decreased. This was most likely related to the portability and smaller size of the McGRATH, which better facilitated intubations of COVID-19 patients.

Acknowledgements: The authors thank Craig Smith, Senior Anesthesia Technician, for his assistance with the cost information and excellent record-keeping related to the use of video laryngoscopes.

Corresponding author: Marc C. Torjman, PhD, Professor, Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University, 111 South 11th St, Suite G-8290, Philadelphia, PA 19107; Marc.Torjman@Jefferson.edu.

Financial disclosures: Dr. Thaler has served as a consultant for Medtronic since September 2020. He has participated in 2 webinars on the routine use of video laryngoscopy.

Funding: This study was supported by the Department of Anesthesiology at Thomas Jefferson University.

References

1. Channa AB. Video laryngoscopes. Saudi J Anaesth. 2011;5(4):357-359.

2. Pieters BM, Eindhoven GB, Acott C, Van Zundert AAJ. Pioneers of laryngoscopy: indirect, direct and video laryngoscopy. Anaesth Intensive Care. 2015;43(suppl):4-11.

3. Lewis SR, Butler AR, Parker J, et al. Videolaryngoscopy versus direct laryngoscopy for adult patients requiring tracheal intubation. Cochrane Database Syst Rev. 2016;11(11):CD011136.

4. Kim W, Choi HJ, Lim T, Kang BS. Can the new McGrath laryngoscope rival the GlideScope Ranger portable video laryngoscope? A randomized manikin study. Am J Emerg Med. 2014;32(10):1225-1229.

5. Kim W, Choi HJ, Lim T, et al. Is McGrath MAC better than Glidescope Ranger for novice providers in the simulated difficult airway? A randomized manikin study. Resuscitation. 2014;85(suppl 1):S32.

6. Jeon WJ, Kim KH, Yeom JH, et al. A comparison of the Glidescope to the McGrath videolaryngoscope in patients. Korean J Anesthesiol. 2011;61(1):19-23.

7. Savoldelli GL, Schiffer E, Abegg C, et al. Comparison of the Glidescope, the McGrath, the Airtraq and the Macintosh laryngoscopes in simulated difficult airways. Anaesthesia. 2008;63(12):1358-1364.

8. Savoldelli GL, Schiffer E, Abegg C, et al. Learning curves of the Glidescope, the McGrath and the Airtraq laryngoscopes: a manikin study. Eur J Anaesthesiol. 2009;26(7):554-558.

9. Schumacher J, Arlidge J, Dudley D, et al. The impact of respiratory protective equipment on difficult airway management: a randomised, crossover, simulation study. Anaesthesia. 2020;75(10):1301-1306.

10. De Jong A, Pardo E, Rolle A, et al. Airway management for COVID-19: a move towards universal videolaryngoscope? Lancet Respir Med. 2020;8(6):555.

11. Hussey PS, Wertheimer S, Mehrotra A. The association between health care quality and cost: a systematic review. Ann Intern Med. 2013;158(1):27-34.

12. Mitton C, Dionne F, Peacock S, Sheps S. Quality and cost in healthcare: a relationship worth examining. Appl Health Econ Health Policy. 2006;5(4):201-208.

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From the Department of Anesthesiology, Thomas Jefferson University and Hospitals, Sidney Kimmel Medical College, Philadelphia, PA, and Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Objective: Retrospective study examining hospital cost information of patients requiring endotracheal intubation with video laryngoscopy. Provide a practical cost assessment on use of the McGRATH and GlideScope video laryngoscopes (VLs).

Methods: This study examined 52 hospital locations within a single, large university hospital, with most of those locations being hospital operating rooms. A total of 34 600 endotracheal intubations performed over 24 months, of which 11 345 were video laryngoscopies. Electronic medical records containing demographic data and information related to endotracheal intubation procedures, with monthly breakdowns between GlideScope and McGRATH intubations, were reviewed. Cost information calculated for equipment, blades, batteries, repairs, and subsequent analysis performed to determine cost differences between those 2 instruments during the COVID-19 period.

Results: A total of 5501 video laryngoscopy procedures were performed using the McGRATH VL and 5305 were performed using the GlideScope VL. Costs over 24 months were $181 093 lower (55.5%) for McGRATH compared to GlideScope. The mean (SD) monthly costs for GlideScope blades were $3837 ($1050) and $3236 ($538) for years 1 and 2, respectively, vs $1652 ($663) and $2933 ($585) for McGRATH blades (P < .001). Most total cost differences were attributed to equipment and blade purchases, which were $202 595 (65.0%) higher for GlideScope. During the COVID-19 period, the use of the McGRATH increased to 61% of all video laryngoscopy cases, compared to 37% for GlideScope (P < .001). Blade cost difference for the COVID-19 period was $128 higher for the McGRATH even though 293 more intubations were performed with that device.

Conclusions: Use of the McGRATH resulted in a cost savings of 55% compared to the GlideScope, and its use was highest during the COVID-19 period, which may be explained by its more portable and practical features.

Keywords: video laryngoscope; McGRATH; GlideScope; endotracheal intubation; hospital costs; COVID-19.

Hospitals have come to rely on video laryngoscopes (VLs) for tracheal intubation as necessary tools for better visualization of airways. Modern video laryngoscopy developed in the 2000s1 as a progression from direct laryngoscopy, which began in 1852 when Horace Green used a bent tongue spatula and sunlight to examine a child.2 VLs have seen many improvements and adaptations of their own, resulting in many different styles and types circulating around hospitals. The GlideScope (Verathon Inc, Bothell, WA) and the McGRATH (Medtronic, Minneapolis, MN) are examples of such instruments, which are now widely used in the US and are the 2 VLs of choice at our institution.

 

 

A few studies have compared VLs to direct laryngoscopes. In their systematic review, Lewis et al have shown the numerous benefits of using a VL over a direct laryngoscope. Some general conclusions were that the use of video laryngoscopy reduced the number of failed intubations, decreased laryngeal trauma, and provided improved visualizations.3 Other studies have compared the different types of VLs, including the McGRATH and the GlideScope, examining factors such as intubation time and display quality of the image. Two studies found that medical students were equally successful at using both the McGRATH and the GlideScope,4,5 while another study found that care providers using the GlideScope had quicker intubation times.6 Lastly, Savoldelli et al concluded that more providers preferred the McGRATH, which provided better laryngeal views,7 while their subsequent study showed more favorable learning curves of the Airtraq compared to the McGRATH and other VLs.8

Although there have been no reported differences in safety and effectiveness of the McGRATH and GlideScope devices, cost data on the use of these 2 popular laryngoscopes are lacking. Such information is important considering the increasing costs of medical technologies and the significant financial losses experienced by health care systems due to the COVID-19 crisis. The purpose of this retrospective cohort study was to compare the cost efficiency of the McGRATH MAC and GlideScope Core VLs at a large academic center.

Methods

This retrospective study was performed under exemption from the Thomas Jefferson University Institutional Review Board. The primary data sources consisted of hospital electronic patient records (EPIC) and cost information from the device manufacturers and hospital staff. The electronic patient data were provided by the EPIC Enterprise Analytics Business Intelligence group at Thomas Jefferson University Hospital (Center City Campus, Philadelphia, PA), while device costs were obtained from Verathon, Medtronic, and departmental staff responsible for purchasing equipment. Monthly data were obtained over a 24-month period (June 2018 through May 2020) when the McGRATH VL was placed into use in the department of anesthesiology. The 2 types of VLs were made available for use in a total of 52 locations, with the majority being hospital operating rooms.

The following variables were recorded: number of endotracheal intubations performed each month with breakdown between video laryngoscopy and flexible bronchoscopy airways, frequency of use for each type of laryngoscope, blades used, and equipment costs for use of each laryngoscope. Hospital cost estimates for both the McGRATH and GlideScope laryngoscopes included batteries, handles, blades, and the devices themselves. Cost data were also collected on frequency of device failure, maintenance, and replacement of parts and lost equipment.

Analysis

De-identified electronic medical records consisted of nominal and quantitative variables, with demographic data and information related to the endotracheal intubation procedure. All data were in chronological order and sorted by date after which coding was applied, to identify device type and allocate pertinent cost information. Descriptive statistics were reported as mean (SD) and sum for costs; frequency tables were generated for intubation procedures according to device type and time periods. Data were analyzed using the χ2 test, the student t test, and the Wilcoxon Mann-Whitney U test, with a P value set at .05 for statistical significance. SPSS version 26 and GraphPad Prism version 6 were used for all statistical analyses.

 

 

Results

A total of 34 600 endotracheal intubations were performed over the 24-month study period, and 11 345 (32.8%) were video laryngoscopy procedures. Out of all video laryngoscopy procedures, 5501 (48.5%) were performed using the McGRATH VL and 5305 (46.8%) were conducted using the GlideScope VL. The difference of 539 (4.8%) cases accounts for flexible bronchoscopy procedures and endotracheal intubations using other video laryngoscopy equipment. The mean (SD) monthly number of video laryngoscopy procedures for the 24 months was 221 (54) and 229 (89) for the GlideScope and McGRATH devices, respectively. Monthly endotracheal intubation distributions over 24 months trended upward for the McGRATH VL and downward for the GlideScope, but there was no statistically significant (P = .71) difference in overall use between the 2 instruments (Figure 1).

To examine the observed usage trends between the 2 VL during the first and last 12 months, a univariate ANOVA was conducted with the 2 time periods entered as predictors in the model. Video laryngoscopy intubations were performed (P = .001) more frequently with the GlideScope during the first 12 months; however, use of the McGRATH VL increased (P < .001) during the following 12 months compared to GlideScope. The GlideScope accounted for 54% of all VL intubations during the first 12 months, with the McGRATH accounting for 58% of all video laryngoscopy procedures for months 12 to 24. Additionally, the increase in video laryngoscopy procedures with the McGRATH during the last 3 months of the study period was despite an overall reduction in surgical volume due to the COVID-19 crisis, defined for this study as March 1, 2020, to May 31, 2020 (Figure 1). There was a statistically significant (P < .001) difference in the case distribution between use of the McGRATH and GlideScope VL for that period. The anesthesia personnel’s use of the McGRATH VL increased to 61% of all video laryngoscopy cases, compared to 37% for the GlideScope (Figure 2).

The total costs calculated for equipment, blades, and repairs are presented in Table 1 and yearly total costs are shown in Figure 3. Overall costs were $181 093 lower (55.5%) for the McGRATH VL compared to the GlideScope over the 24-month period. The mean (SD) monthly costs for GlideScope VL blades were $3837 ($1050) and $3236 ($538) for years 1 and 2, respectively, vs $1652 ($663) and $2933 ($585) for the McGRATH VL blades. Most of the total cost differences were attributed to equipment and blade purchases, which were $202 595 (65.0%) higher for the GlideScope compared to the McGRATH VL. The monthly blade costs alone were higher (P < .001) for the GlideScope over the 2-year period; however, the McGRATH VL required use of disposable stylets at a cost of $10 177 for all endotracheal intubations, compared to $700 for the GlideScope device.

An analysis was performed to determine whether costs differed between those 2 instruments during the COVID-19 period. There was a statistically significant (P < .001) difference in the case distribution between use of the McGRATH and GlideScope VLs during that period. The calculated blade cost difference for the COVID period was $128 higher for the McGRATH even though 293 more intubations were performed with that device (Table 2).

Discussion

We attempted to provide useful cost estimates by presenting pricing data reflecting the approximate cost that most large institutional anesthesia practices would incur for using those 2 specific devices and related peripherals. The main findings of our analysis showed that use of the McGRATH MAC VL resulted in a 55% cost savings compared to the GlideScope, with a similar number of cases performed with each device over the 24-month study period. We believe this represents a substantial savings to the department and institution, which has prompted internal review on the use of video laryngoscopy equipment. None of the McGRATH units failed; however, the GlideScope required 3 baton replacements.

 

 

Of note, use of the McGRATH MAC increased during the COVID-19 period, which may be explained by the fact that the operators found it to be a more portable device. Several physicians in the department commented that its smaller size made the McGRATH MAC more practical during the time when a plexiglass box was being used around the patient’s head to shield the intubator from aerosolized viral particles.

Although this study demonstrated the cost-saving value of the McGRATH over the GlideScope, a suggested next step would be to examine resource utilization related to video laryngoscopy use. The more dynamic tracking of the use of these devices should facilitate the assessment of existing related resources and decision making, to optimize the benefits of this initiative. We would anticipate reduced use of anesthesia personnel, such as technicians to assist with the management of this device which could be significant. As new respiratory viruses are appearing each year, video laryngoscopy will continue to gain increasing use in operating rooms and acute care locations. The adding of protective barriers between patients and providers calls for use of the most practical and effective VL devices, to protect personnel who are at high risk of contamination from airway secretions and aerosolized particles.9,10

The COVID-19 pandemic has demonstrated the value of anesthesiology in regards to analyzing and finding solutions to effectively manage infected patients or those suspected of infection in the perioperative environment. Inexpensive products are often avoided because cheaper devices are associated with being of lower quality. However, the association with cost and quality—and the assumption that a higher price is positively correlated with higher quality—is overall inconsistent in the medical literature.11 A more effective or higher quality treatment does not necessarily cost more and may actually end up costing less,12 as was the case in this study. We have been able to directly cut departmental expenses by using a more efficient and cost-effective device for intubations, without compromising safety and efficacy. Future studies should determine whether this significant reduction in costs from video laryngoscopy intubations with the McGRATH VL will be sustained across anesthesiology departments in the Jefferson Health Enterprise Hospitals, or other health systems, as well as its impact on workflow and personnel resources.

This analysis was restricted to one of the campuses of the Jefferson Health Enterprise. However, this is the largest anesthesia practice, encompassing several locations, which should reflect the general practice patterns across other anesthesiology departments in this large institution. The costs for the devices and peripherals may vary across anesthesia practices depending on volume and contracts negotiated with the suppliers. It was not possible to estimate this variability, which could change the total costs by a few percentage points. We recognize that there may be other costs associated with securing the McGRATH VL to prevent loss from theft or misplacement, which were not included in the study. Lastly, the inability to obtain randomized samples for the 2 groups treated with each device opens up the possibility of selection bias. There were, however, multiple intubators who were free to select 1 of the devices for endotracheal intubation, which may have reduced the effect of selection bias.

 

 

Conclusion

This study demonstrated that over a 24-month period use of the McGRATH MAC VL resulted in a cost reduction of around 55% compared to using the GlideScope for endotracheal intubation procedures performed at a major academic center. Over the first 3 months of the COVID-19 crisis, which our study included, use of the McGRATH VL increased while GlideScope use decreased. This was most likely related to the portability and smaller size of the McGRATH, which better facilitated intubations of COVID-19 patients.

Acknowledgements: The authors thank Craig Smith, Senior Anesthesia Technician, for his assistance with the cost information and excellent record-keeping related to the use of video laryngoscopes.

Corresponding author: Marc C. Torjman, PhD, Professor, Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University, 111 South 11th St, Suite G-8290, Philadelphia, PA 19107; Marc.Torjman@Jefferson.edu.

Financial disclosures: Dr. Thaler has served as a consultant for Medtronic since September 2020. He has participated in 2 webinars on the routine use of video laryngoscopy.

Funding: This study was supported by the Department of Anesthesiology at Thomas Jefferson University.

From the Department of Anesthesiology, Thomas Jefferson University and Hospitals, Sidney Kimmel Medical College, Philadelphia, PA, and Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Objective: Retrospective study examining hospital cost information of patients requiring endotracheal intubation with video laryngoscopy. Provide a practical cost assessment on use of the McGRATH and GlideScope video laryngoscopes (VLs).

Methods: This study examined 52 hospital locations within a single, large university hospital, with most of those locations being hospital operating rooms. A total of 34 600 endotracheal intubations performed over 24 months, of which 11 345 were video laryngoscopies. Electronic medical records containing demographic data and information related to endotracheal intubation procedures, with monthly breakdowns between GlideScope and McGRATH intubations, were reviewed. Cost information calculated for equipment, blades, batteries, repairs, and subsequent analysis performed to determine cost differences between those 2 instruments during the COVID-19 period.

Results: A total of 5501 video laryngoscopy procedures were performed using the McGRATH VL and 5305 were performed using the GlideScope VL. Costs over 24 months were $181 093 lower (55.5%) for McGRATH compared to GlideScope. The mean (SD) monthly costs for GlideScope blades were $3837 ($1050) and $3236 ($538) for years 1 and 2, respectively, vs $1652 ($663) and $2933 ($585) for McGRATH blades (P < .001). Most total cost differences were attributed to equipment and blade purchases, which were $202 595 (65.0%) higher for GlideScope. During the COVID-19 period, the use of the McGRATH increased to 61% of all video laryngoscopy cases, compared to 37% for GlideScope (P < .001). Blade cost difference for the COVID-19 period was $128 higher for the McGRATH even though 293 more intubations were performed with that device.

Conclusions: Use of the McGRATH resulted in a cost savings of 55% compared to the GlideScope, and its use was highest during the COVID-19 period, which may be explained by its more portable and practical features.

Keywords: video laryngoscope; McGRATH; GlideScope; endotracheal intubation; hospital costs; COVID-19.

Hospitals have come to rely on video laryngoscopes (VLs) for tracheal intubation as necessary tools for better visualization of airways. Modern video laryngoscopy developed in the 2000s1 as a progression from direct laryngoscopy, which began in 1852 when Horace Green used a bent tongue spatula and sunlight to examine a child.2 VLs have seen many improvements and adaptations of their own, resulting in many different styles and types circulating around hospitals. The GlideScope (Verathon Inc, Bothell, WA) and the McGRATH (Medtronic, Minneapolis, MN) are examples of such instruments, which are now widely used in the US and are the 2 VLs of choice at our institution.

 

 

A few studies have compared VLs to direct laryngoscopes. In their systematic review, Lewis et al have shown the numerous benefits of using a VL over a direct laryngoscope. Some general conclusions were that the use of video laryngoscopy reduced the number of failed intubations, decreased laryngeal trauma, and provided improved visualizations.3 Other studies have compared the different types of VLs, including the McGRATH and the GlideScope, examining factors such as intubation time and display quality of the image. Two studies found that medical students were equally successful at using both the McGRATH and the GlideScope,4,5 while another study found that care providers using the GlideScope had quicker intubation times.6 Lastly, Savoldelli et al concluded that more providers preferred the McGRATH, which provided better laryngeal views,7 while their subsequent study showed more favorable learning curves of the Airtraq compared to the McGRATH and other VLs.8

Although there have been no reported differences in safety and effectiveness of the McGRATH and GlideScope devices, cost data on the use of these 2 popular laryngoscopes are lacking. Such information is important considering the increasing costs of medical technologies and the significant financial losses experienced by health care systems due to the COVID-19 crisis. The purpose of this retrospective cohort study was to compare the cost efficiency of the McGRATH MAC and GlideScope Core VLs at a large academic center.

Methods

This retrospective study was performed under exemption from the Thomas Jefferson University Institutional Review Board. The primary data sources consisted of hospital electronic patient records (EPIC) and cost information from the device manufacturers and hospital staff. The electronic patient data were provided by the EPIC Enterprise Analytics Business Intelligence group at Thomas Jefferson University Hospital (Center City Campus, Philadelphia, PA), while device costs were obtained from Verathon, Medtronic, and departmental staff responsible for purchasing equipment. Monthly data were obtained over a 24-month period (June 2018 through May 2020) when the McGRATH VL was placed into use in the department of anesthesiology. The 2 types of VLs were made available for use in a total of 52 locations, with the majority being hospital operating rooms.

The following variables were recorded: number of endotracheal intubations performed each month with breakdown between video laryngoscopy and flexible bronchoscopy airways, frequency of use for each type of laryngoscope, blades used, and equipment costs for use of each laryngoscope. Hospital cost estimates for both the McGRATH and GlideScope laryngoscopes included batteries, handles, blades, and the devices themselves. Cost data were also collected on frequency of device failure, maintenance, and replacement of parts and lost equipment.

Analysis

De-identified electronic medical records consisted of nominal and quantitative variables, with demographic data and information related to the endotracheal intubation procedure. All data were in chronological order and sorted by date after which coding was applied, to identify device type and allocate pertinent cost information. Descriptive statistics were reported as mean (SD) and sum for costs; frequency tables were generated for intubation procedures according to device type and time periods. Data were analyzed using the χ2 test, the student t test, and the Wilcoxon Mann-Whitney U test, with a P value set at .05 for statistical significance. SPSS version 26 and GraphPad Prism version 6 were used for all statistical analyses.

 

 

Results

A total of 34 600 endotracheal intubations were performed over the 24-month study period, and 11 345 (32.8%) were video laryngoscopy procedures. Out of all video laryngoscopy procedures, 5501 (48.5%) were performed using the McGRATH VL and 5305 (46.8%) were conducted using the GlideScope VL. The difference of 539 (4.8%) cases accounts for flexible bronchoscopy procedures and endotracheal intubations using other video laryngoscopy equipment. The mean (SD) monthly number of video laryngoscopy procedures for the 24 months was 221 (54) and 229 (89) for the GlideScope and McGRATH devices, respectively. Monthly endotracheal intubation distributions over 24 months trended upward for the McGRATH VL and downward for the GlideScope, but there was no statistically significant (P = .71) difference in overall use between the 2 instruments (Figure 1).

To examine the observed usage trends between the 2 VL during the first and last 12 months, a univariate ANOVA was conducted with the 2 time periods entered as predictors in the model. Video laryngoscopy intubations were performed (P = .001) more frequently with the GlideScope during the first 12 months; however, use of the McGRATH VL increased (P < .001) during the following 12 months compared to GlideScope. The GlideScope accounted for 54% of all VL intubations during the first 12 months, with the McGRATH accounting for 58% of all video laryngoscopy procedures for months 12 to 24. Additionally, the increase in video laryngoscopy procedures with the McGRATH during the last 3 months of the study period was despite an overall reduction in surgical volume due to the COVID-19 crisis, defined for this study as March 1, 2020, to May 31, 2020 (Figure 1). There was a statistically significant (P < .001) difference in the case distribution between use of the McGRATH and GlideScope VL for that period. The anesthesia personnel’s use of the McGRATH VL increased to 61% of all video laryngoscopy cases, compared to 37% for the GlideScope (Figure 2).

The total costs calculated for equipment, blades, and repairs are presented in Table 1 and yearly total costs are shown in Figure 3. Overall costs were $181 093 lower (55.5%) for the McGRATH VL compared to the GlideScope over the 24-month period. The mean (SD) monthly costs for GlideScope VL blades were $3837 ($1050) and $3236 ($538) for years 1 and 2, respectively, vs $1652 ($663) and $2933 ($585) for the McGRATH VL blades. Most of the total cost differences were attributed to equipment and blade purchases, which were $202 595 (65.0%) higher for the GlideScope compared to the McGRATH VL. The monthly blade costs alone were higher (P < .001) for the GlideScope over the 2-year period; however, the McGRATH VL required use of disposable stylets at a cost of $10 177 for all endotracheal intubations, compared to $700 for the GlideScope device.

An analysis was performed to determine whether costs differed between those 2 instruments during the COVID-19 period. There was a statistically significant (P < .001) difference in the case distribution between use of the McGRATH and GlideScope VLs during that period. The calculated blade cost difference for the COVID period was $128 higher for the McGRATH even though 293 more intubations were performed with that device (Table 2).

Discussion

We attempted to provide useful cost estimates by presenting pricing data reflecting the approximate cost that most large institutional anesthesia practices would incur for using those 2 specific devices and related peripherals. The main findings of our analysis showed that use of the McGRATH MAC VL resulted in a 55% cost savings compared to the GlideScope, with a similar number of cases performed with each device over the 24-month study period. We believe this represents a substantial savings to the department and institution, which has prompted internal review on the use of video laryngoscopy equipment. None of the McGRATH units failed; however, the GlideScope required 3 baton replacements.

 

 

Of note, use of the McGRATH MAC increased during the COVID-19 period, which may be explained by the fact that the operators found it to be a more portable device. Several physicians in the department commented that its smaller size made the McGRATH MAC more practical during the time when a plexiglass box was being used around the patient’s head to shield the intubator from aerosolized viral particles.

Although this study demonstrated the cost-saving value of the McGRATH over the GlideScope, a suggested next step would be to examine resource utilization related to video laryngoscopy use. The more dynamic tracking of the use of these devices should facilitate the assessment of existing related resources and decision making, to optimize the benefits of this initiative. We would anticipate reduced use of anesthesia personnel, such as technicians to assist with the management of this device which could be significant. As new respiratory viruses are appearing each year, video laryngoscopy will continue to gain increasing use in operating rooms and acute care locations. The adding of protective barriers between patients and providers calls for use of the most practical and effective VL devices, to protect personnel who are at high risk of contamination from airway secretions and aerosolized particles.9,10

The COVID-19 pandemic has demonstrated the value of anesthesiology in regards to analyzing and finding solutions to effectively manage infected patients or those suspected of infection in the perioperative environment. Inexpensive products are often avoided because cheaper devices are associated with being of lower quality. However, the association with cost and quality—and the assumption that a higher price is positively correlated with higher quality—is overall inconsistent in the medical literature.11 A more effective or higher quality treatment does not necessarily cost more and may actually end up costing less,12 as was the case in this study. We have been able to directly cut departmental expenses by using a more efficient and cost-effective device for intubations, without compromising safety and efficacy. Future studies should determine whether this significant reduction in costs from video laryngoscopy intubations with the McGRATH VL will be sustained across anesthesiology departments in the Jefferson Health Enterprise Hospitals, or other health systems, as well as its impact on workflow and personnel resources.

This analysis was restricted to one of the campuses of the Jefferson Health Enterprise. However, this is the largest anesthesia practice, encompassing several locations, which should reflect the general practice patterns across other anesthesiology departments in this large institution. The costs for the devices and peripherals may vary across anesthesia practices depending on volume and contracts negotiated with the suppliers. It was not possible to estimate this variability, which could change the total costs by a few percentage points. We recognize that there may be other costs associated with securing the McGRATH VL to prevent loss from theft or misplacement, which were not included in the study. Lastly, the inability to obtain randomized samples for the 2 groups treated with each device opens up the possibility of selection bias. There were, however, multiple intubators who were free to select 1 of the devices for endotracheal intubation, which may have reduced the effect of selection bias.

 

 

Conclusion

This study demonstrated that over a 24-month period use of the McGRATH MAC VL resulted in a cost reduction of around 55% compared to using the GlideScope for endotracheal intubation procedures performed at a major academic center. Over the first 3 months of the COVID-19 crisis, which our study included, use of the McGRATH VL increased while GlideScope use decreased. This was most likely related to the portability and smaller size of the McGRATH, which better facilitated intubations of COVID-19 patients.

Acknowledgements: The authors thank Craig Smith, Senior Anesthesia Technician, for his assistance with the cost information and excellent record-keeping related to the use of video laryngoscopes.

Corresponding author: Marc C. Torjman, PhD, Professor, Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University, 111 South 11th St, Suite G-8290, Philadelphia, PA 19107; Marc.Torjman@Jefferson.edu.

Financial disclosures: Dr. Thaler has served as a consultant for Medtronic since September 2020. He has participated in 2 webinars on the routine use of video laryngoscopy.

Funding: This study was supported by the Department of Anesthesiology at Thomas Jefferson University.

References

1. Channa AB. Video laryngoscopes. Saudi J Anaesth. 2011;5(4):357-359.

2. Pieters BM, Eindhoven GB, Acott C, Van Zundert AAJ. Pioneers of laryngoscopy: indirect, direct and video laryngoscopy. Anaesth Intensive Care. 2015;43(suppl):4-11.

3. Lewis SR, Butler AR, Parker J, et al. Videolaryngoscopy versus direct laryngoscopy for adult patients requiring tracheal intubation. Cochrane Database Syst Rev. 2016;11(11):CD011136.

4. Kim W, Choi HJ, Lim T, Kang BS. Can the new McGrath laryngoscope rival the GlideScope Ranger portable video laryngoscope? A randomized manikin study. Am J Emerg Med. 2014;32(10):1225-1229.

5. Kim W, Choi HJ, Lim T, et al. Is McGrath MAC better than Glidescope Ranger for novice providers in the simulated difficult airway? A randomized manikin study. Resuscitation. 2014;85(suppl 1):S32.

6. Jeon WJ, Kim KH, Yeom JH, et al. A comparison of the Glidescope to the McGrath videolaryngoscope in patients. Korean J Anesthesiol. 2011;61(1):19-23.

7. Savoldelli GL, Schiffer E, Abegg C, et al. Comparison of the Glidescope, the McGrath, the Airtraq and the Macintosh laryngoscopes in simulated difficult airways. Anaesthesia. 2008;63(12):1358-1364.

8. Savoldelli GL, Schiffer E, Abegg C, et al. Learning curves of the Glidescope, the McGrath and the Airtraq laryngoscopes: a manikin study. Eur J Anaesthesiol. 2009;26(7):554-558.

9. Schumacher J, Arlidge J, Dudley D, et al. The impact of respiratory protective equipment on difficult airway management: a randomised, crossover, simulation study. Anaesthesia. 2020;75(10):1301-1306.

10. De Jong A, Pardo E, Rolle A, et al. Airway management for COVID-19: a move towards universal videolaryngoscope? Lancet Respir Med. 2020;8(6):555.

11. Hussey PS, Wertheimer S, Mehrotra A. The association between health care quality and cost: a systematic review. Ann Intern Med. 2013;158(1):27-34.

12. Mitton C, Dionne F, Peacock S, Sheps S. Quality and cost in healthcare: a relationship worth examining. Appl Health Econ Health Policy. 2006;5(4):201-208.

References

1. Channa AB. Video laryngoscopes. Saudi J Anaesth. 2011;5(4):357-359.

2. Pieters BM, Eindhoven GB, Acott C, Van Zundert AAJ. Pioneers of laryngoscopy: indirect, direct and video laryngoscopy. Anaesth Intensive Care. 2015;43(suppl):4-11.

3. Lewis SR, Butler AR, Parker J, et al. Videolaryngoscopy versus direct laryngoscopy for adult patients requiring tracheal intubation. Cochrane Database Syst Rev. 2016;11(11):CD011136.

4. Kim W, Choi HJ, Lim T, Kang BS. Can the new McGrath laryngoscope rival the GlideScope Ranger portable video laryngoscope? A randomized manikin study. Am J Emerg Med. 2014;32(10):1225-1229.

5. Kim W, Choi HJ, Lim T, et al. Is McGrath MAC better than Glidescope Ranger for novice providers in the simulated difficult airway? A randomized manikin study. Resuscitation. 2014;85(suppl 1):S32.

6. Jeon WJ, Kim KH, Yeom JH, et al. A comparison of the Glidescope to the McGrath videolaryngoscope in patients. Korean J Anesthesiol. 2011;61(1):19-23.

7. Savoldelli GL, Schiffer E, Abegg C, et al. Comparison of the Glidescope, the McGrath, the Airtraq and the Macintosh laryngoscopes in simulated difficult airways. Anaesthesia. 2008;63(12):1358-1364.

8. Savoldelli GL, Schiffer E, Abegg C, et al. Learning curves of the Glidescope, the McGrath and the Airtraq laryngoscopes: a manikin study. Eur J Anaesthesiol. 2009;26(7):554-558.

9. Schumacher J, Arlidge J, Dudley D, et al. The impact of respiratory protective equipment on difficult airway management: a randomised, crossover, simulation study. Anaesthesia. 2020;75(10):1301-1306.

10. De Jong A, Pardo E, Rolle A, et al. Airway management for COVID-19: a move towards universal videolaryngoscope? Lancet Respir Med. 2020;8(6):555.

11. Hussey PS, Wertheimer S, Mehrotra A. The association between health care quality and cost: a systematic review. Ann Intern Med. 2013;158(1):27-34.

12. Mitton C, Dionne F, Peacock S, Sheps S. Quality and cost in healthcare: a relationship worth examining. Appl Health Econ Health Policy. 2006;5(4):201-208.

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Practical Application of Self-Determination Theory to Achieve a Reduction in Postoperative Hypothermia Rate: A Quality Improvement Project

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Practical Application of Self-Determination Theory to Achieve a Reduction in Postoperative Hypothermia Rate: A Quality Improvement Project

From Children’s Health System of Texas, Division of Pediatric Anesthesiology, Dallas, TX (Drs. Sakhai, Bocanegra, Chandran, Kimatian, and Kiss), UT Southwestern Medical Center, Department of Anesthesiology and Pain Management, Dallas, TX (Drs. Bocanegra, Chandran, Kimatian, and Kiss), and UT Southwestern Medical Center, Department of Population and Data Sciences, Dallas, TX (Dr. Reisch).

Objective: Policy-driven changes in medical practice have long been the norm. Seldom are changes in clinical practice sought to be brought about by a person’s tendency toward growth or self‐actualization. Many hospitals have instituted hypothermia bundles to help reduce the incidence of unanticipated postoperative hypothermia. Although successful in the short-term, sustained changes are difficult to maintain. We implemented a quality-improvement project focused on addressing the affective components of self-determination theory (SDT) to create sustainable behavioral change while satisfying providers’ basic psychological needs for autonomy, competence, and relatedness.

Methods: A total of 3 Plan-Do-Study-Act (PDSA) cycles were enacted over the span of 14 months at a major tertiary care pediatric hospital to recruit and motivate anesthesia providers and perioperative team members to reduce the percentage of hypothermic postsurgical patients by 50%. As an optional initial incentive for participation, anesthesiologists would qualify for American Board of Anesthesiology Maintenance of Certification in Anesthesiology (MOCA) Part 4 Quality Improvement credits for monitoring their own temperature data and participating in project-related meetings. Providers were given autonomy to develop a personal plan for achieving the desired goals.

Results: The median rate of hypothermia was reduced from 6.9% to 1.6% in July 2019 and was reduced again in July 2020 to 1.3%, an 81% reduction overall. A low hypothermia rate was successfully maintained for at least 21 subsequent months after participants received their MOCA credits in July 2019.

Conclusions: Using an approach that focused on the elements of competency, autonomy, and relatedness central to the principles of SDT, we observed the development of a new culture of vigilance for prevention of hypothermia that successfully endured beyond the project end date.

Keywords: postoperative hypothermia; self-determination theory; motivation; quality improvement.

Perioperative hypothermia, generally accepted as a core temperature less than 36 °C in clinical practice, is a common complication in the pediatric surgical population and is associated with poor postoperative outcomes.1 Hypothermic patients may develop respiratory depression, hypoglycemia, and metabolic acidosis that may lead to decreased oxygen delivery and end organ tissue hypoxia.2-4 Other potential detrimental effects of failing to maintain normal body temperature are impaired clotting factor enzyme function and platelet dysfunction, increasing the risk for postoperative bleeding.5,6 In addition, there are financial implications when hypothermic patients require care and resources postoperatively because of delayed emergence or shivering.7

 

 

The American Society of Anesthesiologists recommends intraoperative temperature monitoring for procedures when clinically significant changes in body temperature are anticipated.8 Maintenance of normothermia in the pediatric population is especially challenging owing to a larger skin-surface area compared with body mass ratio and less subcutaneous fat content than in adults. Preventing postoperative hypothermia starts preoperatively with parental education and can be as simple as covering the child with a blanket and setting the preoperative room to an acceptably warm temperature.9,10 Intraoperatively, maintaining operating room (OR) temperatures at or above 21.1 °C and using active warming devices and radiant warmers when appropriate are important techniques to preserve the child’s body temperature.11,12

Despite the knowledge of these risks and vigilant avoidance of hypothermia, unplanned perioperative hypothermia can occur in up to 70% of surgical patients.1 Beyond the clinical benefits, as health care marches toward a value-based payment methodology, quality indicators such as avoiding hypothermia may be linked directly to payment.

Self-determination theory (SDT) was first developed in 1980 by Deci and Ryan.13 The central premise of the theory states that people develop their full potential if circumstances allow them to satisfy their basic psychological needs: autonomy, competence, and relatedness. Under these conditions, people’s natural inclination toward growth can be realized, and they are more likely to internalize external goals. Under an extrinsic reward system, motivation can waver, as people may perceive rewards as controlling.

Many institutions have implemented hypothermia bundles to help decrease the rate of hypothermic patients, but while initially successful, the effectiveness of these interventions tends to fade over time as participants settle into old, comfortable routines.14 With SDT in mind, we designed our quality-improvement (QI) project with interventions to allow clinicians autonomy without instituting rigid guidelines or punitive actions. We aimed to directly address the affective components central to motivation and engagement so that we could bring about long-term meaningful changes in our practice.

Methods

Setting

The hypothermia QI intervention was instituted at a major tertiary care children’s hospital that performs more than 40 000 pediatric general anesthetics annually. Our division of pediatric anesthesiology consists of 66 fellowship-trained pediatric anesthesiologists, 15 or more rotating trainees per month, 13 anesthesiology assistants, 15 anesthesia technicians, and more than 50 perioperative nurses.

 

 

The most frequent pediatric surgeries include, but are not limited to, general surgery, otolaryngology, urology, gastroenterology, plastic surgery, neurosurgery, and dentistry. The surgeries are conducted in the hospital’s main operative floor, which consists of 15 ORs and 2 gastroenterology procedure rooms. Although the implementation of the QI project included several operating sites, we focused on collecting temperature data from surgical patients at our main campus recovery unit. We obtained the patients’ initial temperatures upon arrival to the recovery unit from a retrospective electronic health record review of all patients who underwent anesthesia from January 2016 through April 2021.

Postoperative hypothermia was identified as an area of potential improvement after several patients were reported to be hypothermic upon arrival to the recovery unit in the later part of 2018. Further review revealed significant heterogeneity of practices and lack of standardization of patient-warming methods. By comparing the temperatures pre- and postintervention, we could measure the effectiveness of the QI initiative. Prior to the start of our project, the hypothermia rate in our patient population was not actively tracked, and the effectiveness of our variable practice was not measured.

The cutoff for hypothermia for our QI project was defined as body temperature below 36 °C, since this value has been previously used in the literature and is commonly accepted in anesthesia practice as the delineation for hypothermia in patients undergoing general anesthesia.1

Interventions

This QI project was designed and modeled after the Institute for Healthcare Improvement Model for Improvement.15 Three cycles of Plan-Do-Study-Act (PDSA) were developed and instituted over a 14-month period until December 2019 (Table 1).

A retrospective review was conducted to determine the percentage of surgical patients arriving to our recovery units with an initial temperature reading of less than 36 °C. A project key driver diagram and smart aim were created and approved by the hospital’s continuing medical education (CME) committee for credit via the American Board of Medical Specialties (ABMS) Multi-Specialty Portfolio Program, Maintenance of Certification in Anesthesiology (MOCA) Part 4.

 

 

The first PDSA cycle involved introducing the QI project and sharing the aims of the project at a department grand rounds in the latter part of October 2018. Enrollment to participate in the project was open to all anesthesiologists in the division, and participants could earn up to 20 hours of MOCA Part 4 credits. A spreadsheet was developed and maintained to track each anesthesiologist’s monthly percentage of hypothermic patients. The de-identified patient data were shared with the division via monthly emails. In addition, individual providers with a hypothermic patient in the recovery room received a notification email.

The anesthesiologists participated in the QI project by reviewing their personal percentage of hypothermic patients on an ongoing basis to earn the credit. There was no explicit requirement to decrease their own rate of patients with body temperature less than 36 °C or expectation to achieve a predetermined goal, so the participants could not “fail.”

Because of the large interest in this project, a hypothermia committee was formed that consisted of 36 anesthesiologists. This group reviewed the data and exchanged ideas for improvement in November 2018 as part of the first PDSA cycle. The committee met monthly and was responsible for actively engaging other members of the department and perioperative staff to help in this multidisciplinary effort of combating hypothermia in our surgical pediatric population.

PDSA cycle 2 involved several major initiatives, including direct incorporation of the rest of the perioperative team. The perioperative nursing team was educated on the risks of hypothermia and engaged to take an active role by maintaining the operating suite temperature at 21.1 °C and turning on the Bair Hugger (3M) blanket to 43 °C on the OR bed prior to patient arrival to the OR. Additionally, anesthesia technicians (ATs) were tasked with ensuring an adequate supply of Bair Hugger drapes for all cases of the day. The facility’s engineering team was engaged to move the preoperative room temperature controls away from families (who frequently made the rooms cold) and instead set it at a consistent temperature of 23.9 °C. ATs were also asked to place axillary and nasal temperature probes on the anesthesia workstations as a visual reminder to facilitate temperature monitoring closer to the start of anesthesia (instead of the anesthesia provider having to remember to retrieve a temperature probe out of a drawer and place it on the patient). Furthermore, anesthesiologists were instructed via the aforementioned monthly emails and at monthly department meetings to place the temperature probes as early as possible in order to recognize and respond to intraoperative hypothermia in a timelier manner. Finally, supply chain leaders were informed of our expected increase in the use of the blankets and probes and proportionally increased ordering of these supplies to make sure availability would not present an obstacle.

In PDSA cycle 3, trainees (anesthesia assistant students, anesthesia residents and fellows) and advanced practice providers (APPs) (certified registered nurse-anesthetists [CRNAs] and certified anesthesia assistants [C-AAs]) were informed of the QI project. This initiative was guided toward improving vigilance for hypothermia in the rest of the anesthesia team members. The trainees and APPs usually set up the anesthesia area prior to patient arrival, so their recruitment in support of this effort would ensure appropriate OR temperature, active warming device deployment, and the availability and early placement of the correct temperature probe for the case. To facilitate personal accountability, the trainees and APPs were also emailed their own patients’ rate of hypothermia.

 

 

Along the course of the project, quarterly committee meetings and departmental monthly meetings served as venues to express concerns and look for areas of improvement, such as specific patterns or trends leading to hypothermic patients. One specific example was the identification of the gastrointestinal endoscopic patients having a rate of hypothermia that was 2% higher than average. Directed education on the importance of Bair Hugger blankets and using warm intravenous fluids worked well to decrease the rate of hypothermia in these patients. This collection of data was shared at regular intervals during monthly department meetings as well and more frequently using departmental emails. The hospital’s secure intranet SharePoint (Microsoft) site was used to share the data among providers.

Study of the interventions and measures

To study the effectiveness and impact of the project to motivate our anesthesiologists and other team members, we compared the first temperatures obtained in the recovery unit prior to the start of the intervention with those collected after the start of the QI project in November 2018. Because of the variability of temperature monitoring intraoperatively (nasal, axillary, rectal), we decided to use the temperature obtained by the nurse in the recovery room upon the patient’s arrival. Over the years analyzed, the nurse’s technique of measuring the temperature remained consistent. All patient temperature measurements were performed using the TAT-5000 (Exergen Corporation). This temporal artery thermometer has been previously shown to correlate well with bladder temperatures (70% of measurements differ by no more than 0.5 °C, as reported by Langham et al16).

Admittedly, we could not measure the degree of motivation or internalization of the project goals by our cohort, but we could measure the reduction in the rate of hypothermia and subjectively gauge engagement in the project by the various groups of participants and the sustainability of the results. In addition, all participating anesthesiologists received MOCA Part 4 credits in July 2019. We continued our data collection until April 2021 to determine if our project had brought about sustainable changes in practice that would continue past the initial motivator of obtaining CME credit.

Analysis

Data analysis was performed using Excel (Microsoft) and SAS, version 9.4 (SAS Institute).

The median of the monthly percentage of patients with a temperature of less than 36.0 °C was also determined for the preintervention time frame. This served as our baseline hypothermia rate, and we aimed to lower it by 50%. Run charts, a well-described methodology to gauge the effectiveness of the QI project, were constructed with the collected data.17

 

 

We performed additional analysis to adjust for different time periods throughout the year. The time period between January 2016 and October 2018 was considered preintervention. We considered November 2018 the start of our intervention, or more specifically, the start of our PDSA cycles. October 2018 was analyzed as part of the preintervention data. To account for seasonal temperature variations, the statistical analysis focused on the comparisons of the same calendar quarters for before and after starting intervention using Wilcoxon Mann-Whitney U tests. To reach an overall conclusion, the probabilities for the 4 quarters were combined for each criterion separately utilizing the Fisher χ2 combined probability method.

The hypothermia QI project was reviewed by the institutional review board and determined to be exempt.

Results

The temperatures of 40 875 patients were available for analysis for the preintervention period between January 2016 and October 2018. The median percentage of patients with temperatures less than 36.0 °C was 6.9% (interquartile range [IQR], 5.8%-8.4%). The highest percentage was in February 2016 (9.9%), and the lowest was in March 2018 (3.4%). Following the start of the first PDSA cycle, the next 6 consecutive rates of hypothermia were below the median preintervention value, and a new median for these percentages was calculated at 3.4% (IQR, 2.6%-4.3%). In July 2019, the proportion of hypothermic patients decreased once more for 6 consecutive months, yielding a new median of 1.6% (IQR, 1.2%-1.8%) and again in July 2020, to yield a median of 1.3% (IQR, 1.2%-1.5%) (Figure). In all, 33 799 patients were analyzed after the start of the project from November 2018 to the end of the data collection period through April 2021.

The preintervention monthly rates of hypothermia were compared, quarter to quarter, with those starting in November 2018 using the Wilcoxon Mann-Whitney U test. The decrease in proportion of hypothermic patients after the start of the intervention was statistically significant (P < .001). In addition, the percentage of patients with temperatures greater than 38 °C was not significantly different between the pre- and postintervention time periods (P < .25) (Table 2). The decrease in the number of patients available for analysis from March 2020 to May 2020 was due to the COVID-19 pandemic.

Subjectively, we did not experience any notable resistance to our efforts, and the experience was largely positive for everyone involved. Clinicians identified as having high monthly rates of hypothermia (5% or higher) corrected their numbers the following month after being notified via email or in person.

 

 

Discussion

To achieve changes in practice, the health care industry has relied on instituting guidelines, regulations, and policies, often with punitive consequences. We call into question this long-standing framework and propose a novel approach to help evolve the field of QI. Studies in human psychology have long demonstrated the demotivation power of a reward system and the negative response to attempts by authority to use incentives to control or coerce. In our QI project, we instituted 3 PDSA cycles and applied elements from SDT to motivate people’s behaviors. We demonstrate how a new culture focused on maintaining intraoperative normothermia was developed and brought about a measurable and significant decrease in the rate of hypothermia. The relevance of SDT, a widely accepted unifying theory that bridges and links social and personality psychology, should not be understated in health care. Authorities wishing to have long-standing influence should consider a person’s right to make their own decisions and, if possible, a unique way of doing things.

Positively reinforcing behavior has been shown to have a paradoxical effect by dampening an individual’s intrinsic motivation or desire to perform certain tasks.18 Deadlines, surveillance, and authoritative commands are also deterrents.19,20 We focused on providing the tools and information to the clinicians and relied on their innate need for autonomy, growth, and self-actualization to bring about change in clinical practice.21 Group meetings served as a construct for exchanging ideas and to encourage participation, but without the implementation of rigid guidelines or policies. Intraoperative active warming devices and temperature probes were made available, but their use was not mandated. The use of these devices was intentionally not audited to avoid any overbearing control. Providers were, however, given monthly temperature data to help individually assess the effectiveness of their interventions. We did not impose any negative or punitive actions for those clinicians who had high rates of hypothermic patients, and we did not reward those who had low rates of hypothermia. We wanted the participants to feel that the inner self was the source of their behavior, and this was in parallel with their own interests and values. If providers could feel their need for competency could be realized, we hoped they would continue to adhere to the measures we provided to maintain a low rate of hypothermia.

The effectiveness of our efforts was demonstrated by a decrease in the prevalence of postoperative hypothermia in our surgical patients. The initial decrease of the median rate of hypothermia from 6.9% to 3.4% occurred shortly into the start of the first PDSA cycle. The second PDSA cycle started in January 2019 with a multimodal approach and included almost all parties involved in the perioperative care of our surgical patients. Not only was this intervention responsible for a continued downward trend in the percentage of hypothermic patients, but it set the stage for the third and final PDSA cycle, which started in July 2019. The architecture was in place to integrate trainees and APPs to reinforce our initiative. Subsequently, the new median percentage of hypothermic patients was further decreased to an all-time low of 1.6% per month, satisfying and surpassing the goal of the QI project of decreasing the rate of hypothermia by only 50%. Our organization thereafter maintained a monthly hypothermia rate below 2%, except for April 2020, when it reached 2.5%. Our lowest median percentage was obtained after July 2020, reaching 1.3%.

To account for seasonal variations in temperatures and types of surgeries performed, we compared the percentage of hypothermic patients before and after the start of intervention, quarter by quarter. The decrease in the proportion of hypothermic patients after the start of intervention was statistically significant (P < .001). In addition, the data failed to prove any statistical difference for temperatures above 38 °C between the 2 periods, indicating that our interventions did not result in significant overwarming of patients. The clinical implications of decreasing the percentage of hypothermic patients from 6.9% to 1.3% is likely clinically important when considering the large number of patients who undergo surgery at large tertiary care pediatric centers. Even if simple interventions reduce hypothermia in only a handful of patients, routine applications of simple measures to keep patients normothermic is likely best clinical practice.

Anesthesiologists who participated in the hypothermia QI project by tracking the incidence of hypothermia in their patients were able to collect MOCA Part 4 credits in July 2019. There was no requirement for the individual anesthesiologist to reduce the rate of hypothermia or apply any of the encouraged strategies to obtain credit. As previously stated, there were also no rewards for obtaining low hypothermia rates for the providers. The temperature data continued to be collected through April 2021, 21 months after the credits were distributed, to demonstrate a continued, meaningful change, at least in the short-term. While the MOCA Part 4 credits likely served as an initial motivating factor to encourage participation in the QI project, they certainly were not responsible for the sustained low hypothermia rate after July 2019. We showed that the low rate of hypothermia was successfully maintained, indicating that the change in providers’ behavior was independent of the external motivator of obtaining the credit hours. Mere participation in the project by reviewing one’s temperature data was all that was required to obtain the credit. The Organismic Integration Theory, a mini-theory within SDT, best explains this phenomenon by describing any motivated behavior on a continuum ranging from controlled to autonomous.22 Do people perform the task resentfully, on their own volition because they believe it is the correct action, or somewhere in between? We explain the sustained low rates of hypothermia after the MOCA credits were distributed due to a shift to the autonomous end of the continuum with the clinician’s active willingness to meet the challenges and apply intrinsically motivated behaviors to lower the rate of hypothermia. The internalization of external motivators is difficult to prove, but the evidence supports that the methods we used to motivate individuals were effective and have resulted in a significant downward trend in our hypothermia rate.

 

 

There are several limitations to our QI project. The first involves the measuring of postoperative temperature in the recovery units. The temperatures were obtained using the same medical-grade infrared thermometer for all the patients, but other variables, such as timing and techniques, were not standardized. Secondly, overall surgical outcomes related to hypothermia were not tracked because we were unable to control for other confounding variables in our large cohort of patients, so we cannot say if the drop in the hypothermia rate had a clinically significant outcome. Thirdly, we propose that SDT offers a compellingly fitting explanation of the psychology of motivation in our efforts, but it may be possible that other theories may offer equally fitting explanations. The ability to measure the degree of motivation is lacking, and we did not explicitly ask participants what their specific source of motivation was. Aside from SDT, the reduction in hypothermia rate could also be attributed to the ease and availability of warming equipment that was made in each OR. This QI project was successfully applied to only 1 institution, so its ability to be widely applicable remains uncertain. In addition, data collection continued during the COVID-19 pandemic when case volumes decreased. However, by June 2020, the number of surgical cases at our institution had largely returned to prepandemic levels. Additional data collection beyond April 2021 would be helpful to determine if the reduction in hypothermia rates is truly sustained.

Conclusion

Overall, the importance of maintaining perioperative normothermia was well disseminated and agreed upon by all departments involved. Despite the limitations of the project, there was a significant reduction in rates of hypothermia, and sustainability of outcomes was consistently demonstrated in the poststudy period.

Using 3 cycles of the PDSA method, we successfully decreased the median rate of postoperative hypothermia in our pediatric surgical population from a preintervention value of 6.9% to 1.3%—a reduction of more than 81.2%. We provided motivation for members of our anesthesiology staff to participate by offering MOCA 2.0 Part 4 credits, but the lower rate of hypothermic patients was maintained for 15 months after the credits were distributed. Over the course of the project, there was a shift in culture, and extra vigilance was given to temperature monitoring and assessment. We attribute this sustained cultural change to the deliberate incorporation of the principles of competency, autonomy, and relatedness central to SDT to the structure of the interventions, avoiding rigid guidelines and pathways in favor of affective engagement to establish intrinsic motivation.

Acknowledgements: The authors thank Joan Reisch, PhD, for her assistance with the statistical analysis.

Corresponding author: Edgar Erold Kiss, MD, 1935 Medical District Dr, Dallas, TX 75235; edgar.kiss@UTSouthwestern.edu.

Financial disclosures: None.

References

1. Leslie K, Sessler DI. Perioperative hypothermia in the high-risk surgical patient. Best Pract Res Clin Anaesthesiol. 2003;17(4):485-498.

2. Sessler DI. Forced-air warming in infants and children. Paediatr Anaesth. 2013;23(6):467-468.

3. Wetzel RC. Evaluation of children. In: Longnecker DE, Tinker JH, Morgan Jr GE, eds. Principles and Practice of Anesthesiology. 2nd ed. Mosby Publishers; 1999:445-447.

4. Witt L, Dennhardt N, Eich C, et al. Prevention of intraoperative hypothermia in neonates and infants: results of a prospective multicenter observational study with a new forced-air warming system with increased warm air flow. Paediatr Anaesth. 2013;23(6):469-474.

5. Blum R, Cote C. Pediatric equipment. In: Blum R, Cote C, eds. A Practice of Anaesthesia for Infants and Children. Saunders Elsevier; 2009:1099-1101.

6. Doufas AG. Consequences of inadvertent perioperative hypothermia. Best Pract Res Clin Anaesthesiol. 2003;17(4):535-549.

7. Mahoney CB, Odom J. Maintaining intraoperative normothermia: a meta-analysis of outcomes with costs. AANA J. 1999;67(2):155-163.

8. American Society of Anesthesiologists Committee on Standards and Practice Parameters. Standards for Basic Anesthetic Monitoring. Approved by the ASA House of Delegates October 21, 1986; last amended October 20, 2010; last affirmed October 28, 2015.

9. Horn E-P, Bein B, Böhm R, et al. The effect of short time periods of pre-operative warming in the prevention of peri-operative hypothermia. Anaesthesia. 2012;67(6):612-617.

10. Andrzejowski J, Hoyle J, Eapen G, Turnbull D. Effect of prewarming on post-induction core temperature and the incidence of inadvertent perioperative hypothermia in patients undergoing general anaesthesia. Br J Anaesth. 2008;101(5):627-631.

11. Sessler DI. Complications and treatment of mild hypothermia. Anesthesiology. 2001;95(2):531-543.

12. Bräuer A, English MJM, Steinmetz N, et al. Efficacy of forced-air warming systems with full body blankets. Can J Anaesth. 2007;54(1):34-41.

13. Deci EL, Ryan RM. The “what” and “why” of goal pursuits: human needs and the self‐determination of behavior. Psychol Inquiry. 2000;11(4):227-268.

14. Al-Shamari M, Puttha R, Yuen S, et al. G9 Can introduction of a hypothermia bundle reduce hypothermia in the newborns? Arch Dis Childhood. 2019;104(suppl 2):A4.1-A4.

15. Institute for Healthcare Improvement. How to improve. Accessed May 12, 2021. http://www.ihi.org/resources/Pages/HowtoImprove/default.aspx

16. Langham GE, Meheshwari A, You J, et al. Noninvasive temperature monitoring in postanesthesia care units. Anesthesiology. 2009;111(1):90-96.

17. Perla RJ, Provost LP, Murray SK. The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qual Saf. 2011;20(1):46-51.

18. Deci EL. Effects of externally mediated rewards on intrinsic motivation. J Pers Soc Psychol. 1971;18(1):105-115.

19. Deci EL, Koestner R, Ryan RM. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol Bull. 1999;125(6):627-668.

20. Deci EL, Koestner R, Ryan RM. The undermining effect is a reality after all—extrinsic rewards, task interest, and self-determination: Reply to Eisenberger, Pierce, and Cameron (1999) and Lepper, Henderlong, and Gingras (1999). Psychol Bull. 1999;125(6):692-700.

21. Maslow A. The Farther Reaches of Human Nature. Viking Press; 1971.

22. Sheldon KM, Prentice M. Self-determination theory as a foundation for personality researchers. J Pers. 2019;87(1):5-14.

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From Children’s Health System of Texas, Division of Pediatric Anesthesiology, Dallas, TX (Drs. Sakhai, Bocanegra, Chandran, Kimatian, and Kiss), UT Southwestern Medical Center, Department of Anesthesiology and Pain Management, Dallas, TX (Drs. Bocanegra, Chandran, Kimatian, and Kiss), and UT Southwestern Medical Center, Department of Population and Data Sciences, Dallas, TX (Dr. Reisch).

Objective: Policy-driven changes in medical practice have long been the norm. Seldom are changes in clinical practice sought to be brought about by a person’s tendency toward growth or self‐actualization. Many hospitals have instituted hypothermia bundles to help reduce the incidence of unanticipated postoperative hypothermia. Although successful in the short-term, sustained changes are difficult to maintain. We implemented a quality-improvement project focused on addressing the affective components of self-determination theory (SDT) to create sustainable behavioral change while satisfying providers’ basic psychological needs for autonomy, competence, and relatedness.

Methods: A total of 3 Plan-Do-Study-Act (PDSA) cycles were enacted over the span of 14 months at a major tertiary care pediatric hospital to recruit and motivate anesthesia providers and perioperative team members to reduce the percentage of hypothermic postsurgical patients by 50%. As an optional initial incentive for participation, anesthesiologists would qualify for American Board of Anesthesiology Maintenance of Certification in Anesthesiology (MOCA) Part 4 Quality Improvement credits for monitoring their own temperature data and participating in project-related meetings. Providers were given autonomy to develop a personal plan for achieving the desired goals.

Results: The median rate of hypothermia was reduced from 6.9% to 1.6% in July 2019 and was reduced again in July 2020 to 1.3%, an 81% reduction overall. A low hypothermia rate was successfully maintained for at least 21 subsequent months after participants received their MOCA credits in July 2019.

Conclusions: Using an approach that focused on the elements of competency, autonomy, and relatedness central to the principles of SDT, we observed the development of a new culture of vigilance for prevention of hypothermia that successfully endured beyond the project end date.

Keywords: postoperative hypothermia; self-determination theory; motivation; quality improvement.

Perioperative hypothermia, generally accepted as a core temperature less than 36 °C in clinical practice, is a common complication in the pediatric surgical population and is associated with poor postoperative outcomes.1 Hypothermic patients may develop respiratory depression, hypoglycemia, and metabolic acidosis that may lead to decreased oxygen delivery and end organ tissue hypoxia.2-4 Other potential detrimental effects of failing to maintain normal body temperature are impaired clotting factor enzyme function and platelet dysfunction, increasing the risk for postoperative bleeding.5,6 In addition, there are financial implications when hypothermic patients require care and resources postoperatively because of delayed emergence or shivering.7

 

 

The American Society of Anesthesiologists recommends intraoperative temperature monitoring for procedures when clinically significant changes in body temperature are anticipated.8 Maintenance of normothermia in the pediatric population is especially challenging owing to a larger skin-surface area compared with body mass ratio and less subcutaneous fat content than in adults. Preventing postoperative hypothermia starts preoperatively with parental education and can be as simple as covering the child with a blanket and setting the preoperative room to an acceptably warm temperature.9,10 Intraoperatively, maintaining operating room (OR) temperatures at or above 21.1 °C and using active warming devices and radiant warmers when appropriate are important techniques to preserve the child’s body temperature.11,12

Despite the knowledge of these risks and vigilant avoidance of hypothermia, unplanned perioperative hypothermia can occur in up to 70% of surgical patients.1 Beyond the clinical benefits, as health care marches toward a value-based payment methodology, quality indicators such as avoiding hypothermia may be linked directly to payment.

Self-determination theory (SDT) was first developed in 1980 by Deci and Ryan.13 The central premise of the theory states that people develop their full potential if circumstances allow them to satisfy their basic psychological needs: autonomy, competence, and relatedness. Under these conditions, people’s natural inclination toward growth can be realized, and they are more likely to internalize external goals. Under an extrinsic reward system, motivation can waver, as people may perceive rewards as controlling.

Many institutions have implemented hypothermia bundles to help decrease the rate of hypothermic patients, but while initially successful, the effectiveness of these interventions tends to fade over time as participants settle into old, comfortable routines.14 With SDT in mind, we designed our quality-improvement (QI) project with interventions to allow clinicians autonomy without instituting rigid guidelines or punitive actions. We aimed to directly address the affective components central to motivation and engagement so that we could bring about long-term meaningful changes in our practice.

Methods

Setting

The hypothermia QI intervention was instituted at a major tertiary care children’s hospital that performs more than 40 000 pediatric general anesthetics annually. Our division of pediatric anesthesiology consists of 66 fellowship-trained pediatric anesthesiologists, 15 or more rotating trainees per month, 13 anesthesiology assistants, 15 anesthesia technicians, and more than 50 perioperative nurses.

 

 

The most frequent pediatric surgeries include, but are not limited to, general surgery, otolaryngology, urology, gastroenterology, plastic surgery, neurosurgery, and dentistry. The surgeries are conducted in the hospital’s main operative floor, which consists of 15 ORs and 2 gastroenterology procedure rooms. Although the implementation of the QI project included several operating sites, we focused on collecting temperature data from surgical patients at our main campus recovery unit. We obtained the patients’ initial temperatures upon arrival to the recovery unit from a retrospective electronic health record review of all patients who underwent anesthesia from January 2016 through April 2021.

Postoperative hypothermia was identified as an area of potential improvement after several patients were reported to be hypothermic upon arrival to the recovery unit in the later part of 2018. Further review revealed significant heterogeneity of practices and lack of standardization of patient-warming methods. By comparing the temperatures pre- and postintervention, we could measure the effectiveness of the QI initiative. Prior to the start of our project, the hypothermia rate in our patient population was not actively tracked, and the effectiveness of our variable practice was not measured.

The cutoff for hypothermia for our QI project was defined as body temperature below 36 °C, since this value has been previously used in the literature and is commonly accepted in anesthesia practice as the delineation for hypothermia in patients undergoing general anesthesia.1

Interventions

This QI project was designed and modeled after the Institute for Healthcare Improvement Model for Improvement.15 Three cycles of Plan-Do-Study-Act (PDSA) were developed and instituted over a 14-month period until December 2019 (Table 1).

A retrospective review was conducted to determine the percentage of surgical patients arriving to our recovery units with an initial temperature reading of less than 36 °C. A project key driver diagram and smart aim were created and approved by the hospital’s continuing medical education (CME) committee for credit via the American Board of Medical Specialties (ABMS) Multi-Specialty Portfolio Program, Maintenance of Certification in Anesthesiology (MOCA) Part 4.

 

 

The first PDSA cycle involved introducing the QI project and sharing the aims of the project at a department grand rounds in the latter part of October 2018. Enrollment to participate in the project was open to all anesthesiologists in the division, and participants could earn up to 20 hours of MOCA Part 4 credits. A spreadsheet was developed and maintained to track each anesthesiologist’s monthly percentage of hypothermic patients. The de-identified patient data were shared with the division via monthly emails. In addition, individual providers with a hypothermic patient in the recovery room received a notification email.

The anesthesiologists participated in the QI project by reviewing their personal percentage of hypothermic patients on an ongoing basis to earn the credit. There was no explicit requirement to decrease their own rate of patients with body temperature less than 36 °C or expectation to achieve a predetermined goal, so the participants could not “fail.”

Because of the large interest in this project, a hypothermia committee was formed that consisted of 36 anesthesiologists. This group reviewed the data and exchanged ideas for improvement in November 2018 as part of the first PDSA cycle. The committee met monthly and was responsible for actively engaging other members of the department and perioperative staff to help in this multidisciplinary effort of combating hypothermia in our surgical pediatric population.

PDSA cycle 2 involved several major initiatives, including direct incorporation of the rest of the perioperative team. The perioperative nursing team was educated on the risks of hypothermia and engaged to take an active role by maintaining the operating suite temperature at 21.1 °C and turning on the Bair Hugger (3M) blanket to 43 °C on the OR bed prior to patient arrival to the OR. Additionally, anesthesia technicians (ATs) were tasked with ensuring an adequate supply of Bair Hugger drapes for all cases of the day. The facility’s engineering team was engaged to move the preoperative room temperature controls away from families (who frequently made the rooms cold) and instead set it at a consistent temperature of 23.9 °C. ATs were also asked to place axillary and nasal temperature probes on the anesthesia workstations as a visual reminder to facilitate temperature monitoring closer to the start of anesthesia (instead of the anesthesia provider having to remember to retrieve a temperature probe out of a drawer and place it on the patient). Furthermore, anesthesiologists were instructed via the aforementioned monthly emails and at monthly department meetings to place the temperature probes as early as possible in order to recognize and respond to intraoperative hypothermia in a timelier manner. Finally, supply chain leaders were informed of our expected increase in the use of the blankets and probes and proportionally increased ordering of these supplies to make sure availability would not present an obstacle.

In PDSA cycle 3, trainees (anesthesia assistant students, anesthesia residents and fellows) and advanced practice providers (APPs) (certified registered nurse-anesthetists [CRNAs] and certified anesthesia assistants [C-AAs]) were informed of the QI project. This initiative was guided toward improving vigilance for hypothermia in the rest of the anesthesia team members. The trainees and APPs usually set up the anesthesia area prior to patient arrival, so their recruitment in support of this effort would ensure appropriate OR temperature, active warming device deployment, and the availability and early placement of the correct temperature probe for the case. To facilitate personal accountability, the trainees and APPs were also emailed their own patients’ rate of hypothermia.

 

 

Along the course of the project, quarterly committee meetings and departmental monthly meetings served as venues to express concerns and look for areas of improvement, such as specific patterns or trends leading to hypothermic patients. One specific example was the identification of the gastrointestinal endoscopic patients having a rate of hypothermia that was 2% higher than average. Directed education on the importance of Bair Hugger blankets and using warm intravenous fluids worked well to decrease the rate of hypothermia in these patients. This collection of data was shared at regular intervals during monthly department meetings as well and more frequently using departmental emails. The hospital’s secure intranet SharePoint (Microsoft) site was used to share the data among providers.

Study of the interventions and measures

To study the effectiveness and impact of the project to motivate our anesthesiologists and other team members, we compared the first temperatures obtained in the recovery unit prior to the start of the intervention with those collected after the start of the QI project in November 2018. Because of the variability of temperature monitoring intraoperatively (nasal, axillary, rectal), we decided to use the temperature obtained by the nurse in the recovery room upon the patient’s arrival. Over the years analyzed, the nurse’s technique of measuring the temperature remained consistent. All patient temperature measurements were performed using the TAT-5000 (Exergen Corporation). This temporal artery thermometer has been previously shown to correlate well with bladder temperatures (70% of measurements differ by no more than 0.5 °C, as reported by Langham et al16).

Admittedly, we could not measure the degree of motivation or internalization of the project goals by our cohort, but we could measure the reduction in the rate of hypothermia and subjectively gauge engagement in the project by the various groups of participants and the sustainability of the results. In addition, all participating anesthesiologists received MOCA Part 4 credits in July 2019. We continued our data collection until April 2021 to determine if our project had brought about sustainable changes in practice that would continue past the initial motivator of obtaining CME credit.

Analysis

Data analysis was performed using Excel (Microsoft) and SAS, version 9.4 (SAS Institute).

The median of the monthly percentage of patients with a temperature of less than 36.0 °C was also determined for the preintervention time frame. This served as our baseline hypothermia rate, and we aimed to lower it by 50%. Run charts, a well-described methodology to gauge the effectiveness of the QI project, were constructed with the collected data.17

 

 

We performed additional analysis to adjust for different time periods throughout the year. The time period between January 2016 and October 2018 was considered preintervention. We considered November 2018 the start of our intervention, or more specifically, the start of our PDSA cycles. October 2018 was analyzed as part of the preintervention data. To account for seasonal temperature variations, the statistical analysis focused on the comparisons of the same calendar quarters for before and after starting intervention using Wilcoxon Mann-Whitney U tests. To reach an overall conclusion, the probabilities for the 4 quarters were combined for each criterion separately utilizing the Fisher χ2 combined probability method.

The hypothermia QI project was reviewed by the institutional review board and determined to be exempt.

Results

The temperatures of 40 875 patients were available for analysis for the preintervention period between January 2016 and October 2018. The median percentage of patients with temperatures less than 36.0 °C was 6.9% (interquartile range [IQR], 5.8%-8.4%). The highest percentage was in February 2016 (9.9%), and the lowest was in March 2018 (3.4%). Following the start of the first PDSA cycle, the next 6 consecutive rates of hypothermia were below the median preintervention value, and a new median for these percentages was calculated at 3.4% (IQR, 2.6%-4.3%). In July 2019, the proportion of hypothermic patients decreased once more for 6 consecutive months, yielding a new median of 1.6% (IQR, 1.2%-1.8%) and again in July 2020, to yield a median of 1.3% (IQR, 1.2%-1.5%) (Figure). In all, 33 799 patients were analyzed after the start of the project from November 2018 to the end of the data collection period through April 2021.

The preintervention monthly rates of hypothermia were compared, quarter to quarter, with those starting in November 2018 using the Wilcoxon Mann-Whitney U test. The decrease in proportion of hypothermic patients after the start of the intervention was statistically significant (P < .001). In addition, the percentage of patients with temperatures greater than 38 °C was not significantly different between the pre- and postintervention time periods (P < .25) (Table 2). The decrease in the number of patients available for analysis from March 2020 to May 2020 was due to the COVID-19 pandemic.

Subjectively, we did not experience any notable resistance to our efforts, and the experience was largely positive for everyone involved. Clinicians identified as having high monthly rates of hypothermia (5% or higher) corrected their numbers the following month after being notified via email or in person.

 

 

Discussion

To achieve changes in practice, the health care industry has relied on instituting guidelines, regulations, and policies, often with punitive consequences. We call into question this long-standing framework and propose a novel approach to help evolve the field of QI. Studies in human psychology have long demonstrated the demotivation power of a reward system and the negative response to attempts by authority to use incentives to control or coerce. In our QI project, we instituted 3 PDSA cycles and applied elements from SDT to motivate people’s behaviors. We demonstrate how a new culture focused on maintaining intraoperative normothermia was developed and brought about a measurable and significant decrease in the rate of hypothermia. The relevance of SDT, a widely accepted unifying theory that bridges and links social and personality psychology, should not be understated in health care. Authorities wishing to have long-standing influence should consider a person’s right to make their own decisions and, if possible, a unique way of doing things.

Positively reinforcing behavior has been shown to have a paradoxical effect by dampening an individual’s intrinsic motivation or desire to perform certain tasks.18 Deadlines, surveillance, and authoritative commands are also deterrents.19,20 We focused on providing the tools and information to the clinicians and relied on their innate need for autonomy, growth, and self-actualization to bring about change in clinical practice.21 Group meetings served as a construct for exchanging ideas and to encourage participation, but without the implementation of rigid guidelines or policies. Intraoperative active warming devices and temperature probes were made available, but their use was not mandated. The use of these devices was intentionally not audited to avoid any overbearing control. Providers were, however, given monthly temperature data to help individually assess the effectiveness of their interventions. We did not impose any negative or punitive actions for those clinicians who had high rates of hypothermic patients, and we did not reward those who had low rates of hypothermia. We wanted the participants to feel that the inner self was the source of their behavior, and this was in parallel with their own interests and values. If providers could feel their need for competency could be realized, we hoped they would continue to adhere to the measures we provided to maintain a low rate of hypothermia.

The effectiveness of our efforts was demonstrated by a decrease in the prevalence of postoperative hypothermia in our surgical patients. The initial decrease of the median rate of hypothermia from 6.9% to 3.4% occurred shortly into the start of the first PDSA cycle. The second PDSA cycle started in January 2019 with a multimodal approach and included almost all parties involved in the perioperative care of our surgical patients. Not only was this intervention responsible for a continued downward trend in the percentage of hypothermic patients, but it set the stage for the third and final PDSA cycle, which started in July 2019. The architecture was in place to integrate trainees and APPs to reinforce our initiative. Subsequently, the new median percentage of hypothermic patients was further decreased to an all-time low of 1.6% per month, satisfying and surpassing the goal of the QI project of decreasing the rate of hypothermia by only 50%. Our organization thereafter maintained a monthly hypothermia rate below 2%, except for April 2020, when it reached 2.5%. Our lowest median percentage was obtained after July 2020, reaching 1.3%.

To account for seasonal variations in temperatures and types of surgeries performed, we compared the percentage of hypothermic patients before and after the start of intervention, quarter by quarter. The decrease in the proportion of hypothermic patients after the start of intervention was statistically significant (P < .001). In addition, the data failed to prove any statistical difference for temperatures above 38 °C between the 2 periods, indicating that our interventions did not result in significant overwarming of patients. The clinical implications of decreasing the percentage of hypothermic patients from 6.9% to 1.3% is likely clinically important when considering the large number of patients who undergo surgery at large tertiary care pediatric centers. Even if simple interventions reduce hypothermia in only a handful of patients, routine applications of simple measures to keep patients normothermic is likely best clinical practice.

Anesthesiologists who participated in the hypothermia QI project by tracking the incidence of hypothermia in their patients were able to collect MOCA Part 4 credits in July 2019. There was no requirement for the individual anesthesiologist to reduce the rate of hypothermia or apply any of the encouraged strategies to obtain credit. As previously stated, there were also no rewards for obtaining low hypothermia rates for the providers. The temperature data continued to be collected through April 2021, 21 months after the credits were distributed, to demonstrate a continued, meaningful change, at least in the short-term. While the MOCA Part 4 credits likely served as an initial motivating factor to encourage participation in the QI project, they certainly were not responsible for the sustained low hypothermia rate after July 2019. We showed that the low rate of hypothermia was successfully maintained, indicating that the change in providers’ behavior was independent of the external motivator of obtaining the credit hours. Mere participation in the project by reviewing one’s temperature data was all that was required to obtain the credit. The Organismic Integration Theory, a mini-theory within SDT, best explains this phenomenon by describing any motivated behavior on a continuum ranging from controlled to autonomous.22 Do people perform the task resentfully, on their own volition because they believe it is the correct action, or somewhere in between? We explain the sustained low rates of hypothermia after the MOCA credits were distributed due to a shift to the autonomous end of the continuum with the clinician’s active willingness to meet the challenges and apply intrinsically motivated behaviors to lower the rate of hypothermia. The internalization of external motivators is difficult to prove, but the evidence supports that the methods we used to motivate individuals were effective and have resulted in a significant downward trend in our hypothermia rate.

 

 

There are several limitations to our QI project. The first involves the measuring of postoperative temperature in the recovery units. The temperatures were obtained using the same medical-grade infrared thermometer for all the patients, but other variables, such as timing and techniques, were not standardized. Secondly, overall surgical outcomes related to hypothermia were not tracked because we were unable to control for other confounding variables in our large cohort of patients, so we cannot say if the drop in the hypothermia rate had a clinically significant outcome. Thirdly, we propose that SDT offers a compellingly fitting explanation of the psychology of motivation in our efforts, but it may be possible that other theories may offer equally fitting explanations. The ability to measure the degree of motivation is lacking, and we did not explicitly ask participants what their specific source of motivation was. Aside from SDT, the reduction in hypothermia rate could also be attributed to the ease and availability of warming equipment that was made in each OR. This QI project was successfully applied to only 1 institution, so its ability to be widely applicable remains uncertain. In addition, data collection continued during the COVID-19 pandemic when case volumes decreased. However, by June 2020, the number of surgical cases at our institution had largely returned to prepandemic levels. Additional data collection beyond April 2021 would be helpful to determine if the reduction in hypothermia rates is truly sustained.

Conclusion

Overall, the importance of maintaining perioperative normothermia was well disseminated and agreed upon by all departments involved. Despite the limitations of the project, there was a significant reduction in rates of hypothermia, and sustainability of outcomes was consistently demonstrated in the poststudy period.

Using 3 cycles of the PDSA method, we successfully decreased the median rate of postoperative hypothermia in our pediatric surgical population from a preintervention value of 6.9% to 1.3%—a reduction of more than 81.2%. We provided motivation for members of our anesthesiology staff to participate by offering MOCA 2.0 Part 4 credits, but the lower rate of hypothermic patients was maintained for 15 months after the credits were distributed. Over the course of the project, there was a shift in culture, and extra vigilance was given to temperature monitoring and assessment. We attribute this sustained cultural change to the deliberate incorporation of the principles of competency, autonomy, and relatedness central to SDT to the structure of the interventions, avoiding rigid guidelines and pathways in favor of affective engagement to establish intrinsic motivation.

Acknowledgements: The authors thank Joan Reisch, PhD, for her assistance with the statistical analysis.

Corresponding author: Edgar Erold Kiss, MD, 1935 Medical District Dr, Dallas, TX 75235; edgar.kiss@UTSouthwestern.edu.

Financial disclosures: None.

From Children’s Health System of Texas, Division of Pediatric Anesthesiology, Dallas, TX (Drs. Sakhai, Bocanegra, Chandran, Kimatian, and Kiss), UT Southwestern Medical Center, Department of Anesthesiology and Pain Management, Dallas, TX (Drs. Bocanegra, Chandran, Kimatian, and Kiss), and UT Southwestern Medical Center, Department of Population and Data Sciences, Dallas, TX (Dr. Reisch).

Objective: Policy-driven changes in medical practice have long been the norm. Seldom are changes in clinical practice sought to be brought about by a person’s tendency toward growth or self‐actualization. Many hospitals have instituted hypothermia bundles to help reduce the incidence of unanticipated postoperative hypothermia. Although successful in the short-term, sustained changes are difficult to maintain. We implemented a quality-improvement project focused on addressing the affective components of self-determination theory (SDT) to create sustainable behavioral change while satisfying providers’ basic psychological needs for autonomy, competence, and relatedness.

Methods: A total of 3 Plan-Do-Study-Act (PDSA) cycles were enacted over the span of 14 months at a major tertiary care pediatric hospital to recruit and motivate anesthesia providers and perioperative team members to reduce the percentage of hypothermic postsurgical patients by 50%. As an optional initial incentive for participation, anesthesiologists would qualify for American Board of Anesthesiology Maintenance of Certification in Anesthesiology (MOCA) Part 4 Quality Improvement credits for monitoring their own temperature data and participating in project-related meetings. Providers were given autonomy to develop a personal plan for achieving the desired goals.

Results: The median rate of hypothermia was reduced from 6.9% to 1.6% in July 2019 and was reduced again in July 2020 to 1.3%, an 81% reduction overall. A low hypothermia rate was successfully maintained for at least 21 subsequent months after participants received their MOCA credits in July 2019.

Conclusions: Using an approach that focused on the elements of competency, autonomy, and relatedness central to the principles of SDT, we observed the development of a new culture of vigilance for prevention of hypothermia that successfully endured beyond the project end date.

Keywords: postoperative hypothermia; self-determination theory; motivation; quality improvement.

Perioperative hypothermia, generally accepted as a core temperature less than 36 °C in clinical practice, is a common complication in the pediatric surgical population and is associated with poor postoperative outcomes.1 Hypothermic patients may develop respiratory depression, hypoglycemia, and metabolic acidosis that may lead to decreased oxygen delivery and end organ tissue hypoxia.2-4 Other potential detrimental effects of failing to maintain normal body temperature are impaired clotting factor enzyme function and platelet dysfunction, increasing the risk for postoperative bleeding.5,6 In addition, there are financial implications when hypothermic patients require care and resources postoperatively because of delayed emergence or shivering.7

 

 

The American Society of Anesthesiologists recommends intraoperative temperature monitoring for procedures when clinically significant changes in body temperature are anticipated.8 Maintenance of normothermia in the pediatric population is especially challenging owing to a larger skin-surface area compared with body mass ratio and less subcutaneous fat content than in adults. Preventing postoperative hypothermia starts preoperatively with parental education and can be as simple as covering the child with a blanket and setting the preoperative room to an acceptably warm temperature.9,10 Intraoperatively, maintaining operating room (OR) temperatures at or above 21.1 °C and using active warming devices and radiant warmers when appropriate are important techniques to preserve the child’s body temperature.11,12

Despite the knowledge of these risks and vigilant avoidance of hypothermia, unplanned perioperative hypothermia can occur in up to 70% of surgical patients.1 Beyond the clinical benefits, as health care marches toward a value-based payment methodology, quality indicators such as avoiding hypothermia may be linked directly to payment.

Self-determination theory (SDT) was first developed in 1980 by Deci and Ryan.13 The central premise of the theory states that people develop their full potential if circumstances allow them to satisfy their basic psychological needs: autonomy, competence, and relatedness. Under these conditions, people’s natural inclination toward growth can be realized, and they are more likely to internalize external goals. Under an extrinsic reward system, motivation can waver, as people may perceive rewards as controlling.

Many institutions have implemented hypothermia bundles to help decrease the rate of hypothermic patients, but while initially successful, the effectiveness of these interventions tends to fade over time as participants settle into old, comfortable routines.14 With SDT in mind, we designed our quality-improvement (QI) project with interventions to allow clinicians autonomy without instituting rigid guidelines or punitive actions. We aimed to directly address the affective components central to motivation and engagement so that we could bring about long-term meaningful changes in our practice.

Methods

Setting

The hypothermia QI intervention was instituted at a major tertiary care children’s hospital that performs more than 40 000 pediatric general anesthetics annually. Our division of pediatric anesthesiology consists of 66 fellowship-trained pediatric anesthesiologists, 15 or more rotating trainees per month, 13 anesthesiology assistants, 15 anesthesia technicians, and more than 50 perioperative nurses.

 

 

The most frequent pediatric surgeries include, but are not limited to, general surgery, otolaryngology, urology, gastroenterology, plastic surgery, neurosurgery, and dentistry. The surgeries are conducted in the hospital’s main operative floor, which consists of 15 ORs and 2 gastroenterology procedure rooms. Although the implementation of the QI project included several operating sites, we focused on collecting temperature data from surgical patients at our main campus recovery unit. We obtained the patients’ initial temperatures upon arrival to the recovery unit from a retrospective electronic health record review of all patients who underwent anesthesia from January 2016 through April 2021.

Postoperative hypothermia was identified as an area of potential improvement after several patients were reported to be hypothermic upon arrival to the recovery unit in the later part of 2018. Further review revealed significant heterogeneity of practices and lack of standardization of patient-warming methods. By comparing the temperatures pre- and postintervention, we could measure the effectiveness of the QI initiative. Prior to the start of our project, the hypothermia rate in our patient population was not actively tracked, and the effectiveness of our variable practice was not measured.

The cutoff for hypothermia for our QI project was defined as body temperature below 36 °C, since this value has been previously used in the literature and is commonly accepted in anesthesia practice as the delineation for hypothermia in patients undergoing general anesthesia.1

Interventions

This QI project was designed and modeled after the Institute for Healthcare Improvement Model for Improvement.15 Three cycles of Plan-Do-Study-Act (PDSA) were developed and instituted over a 14-month period until December 2019 (Table 1).

A retrospective review was conducted to determine the percentage of surgical patients arriving to our recovery units with an initial temperature reading of less than 36 °C. A project key driver diagram and smart aim were created and approved by the hospital’s continuing medical education (CME) committee for credit via the American Board of Medical Specialties (ABMS) Multi-Specialty Portfolio Program, Maintenance of Certification in Anesthesiology (MOCA) Part 4.

 

 

The first PDSA cycle involved introducing the QI project and sharing the aims of the project at a department grand rounds in the latter part of October 2018. Enrollment to participate in the project was open to all anesthesiologists in the division, and participants could earn up to 20 hours of MOCA Part 4 credits. A spreadsheet was developed and maintained to track each anesthesiologist’s monthly percentage of hypothermic patients. The de-identified patient data were shared with the division via monthly emails. In addition, individual providers with a hypothermic patient in the recovery room received a notification email.

The anesthesiologists participated in the QI project by reviewing their personal percentage of hypothermic patients on an ongoing basis to earn the credit. There was no explicit requirement to decrease their own rate of patients with body temperature less than 36 °C or expectation to achieve a predetermined goal, so the participants could not “fail.”

Because of the large interest in this project, a hypothermia committee was formed that consisted of 36 anesthesiologists. This group reviewed the data and exchanged ideas for improvement in November 2018 as part of the first PDSA cycle. The committee met monthly and was responsible for actively engaging other members of the department and perioperative staff to help in this multidisciplinary effort of combating hypothermia in our surgical pediatric population.

PDSA cycle 2 involved several major initiatives, including direct incorporation of the rest of the perioperative team. The perioperative nursing team was educated on the risks of hypothermia and engaged to take an active role by maintaining the operating suite temperature at 21.1 °C and turning on the Bair Hugger (3M) blanket to 43 °C on the OR bed prior to patient arrival to the OR. Additionally, anesthesia technicians (ATs) were tasked with ensuring an adequate supply of Bair Hugger drapes for all cases of the day. The facility’s engineering team was engaged to move the preoperative room temperature controls away from families (who frequently made the rooms cold) and instead set it at a consistent temperature of 23.9 °C. ATs were also asked to place axillary and nasal temperature probes on the anesthesia workstations as a visual reminder to facilitate temperature monitoring closer to the start of anesthesia (instead of the anesthesia provider having to remember to retrieve a temperature probe out of a drawer and place it on the patient). Furthermore, anesthesiologists were instructed via the aforementioned monthly emails and at monthly department meetings to place the temperature probes as early as possible in order to recognize and respond to intraoperative hypothermia in a timelier manner. Finally, supply chain leaders were informed of our expected increase in the use of the blankets and probes and proportionally increased ordering of these supplies to make sure availability would not present an obstacle.

In PDSA cycle 3, trainees (anesthesia assistant students, anesthesia residents and fellows) and advanced practice providers (APPs) (certified registered nurse-anesthetists [CRNAs] and certified anesthesia assistants [C-AAs]) were informed of the QI project. This initiative was guided toward improving vigilance for hypothermia in the rest of the anesthesia team members. The trainees and APPs usually set up the anesthesia area prior to patient arrival, so their recruitment in support of this effort would ensure appropriate OR temperature, active warming device deployment, and the availability and early placement of the correct temperature probe for the case. To facilitate personal accountability, the trainees and APPs were also emailed their own patients’ rate of hypothermia.

 

 

Along the course of the project, quarterly committee meetings and departmental monthly meetings served as venues to express concerns and look for areas of improvement, such as specific patterns or trends leading to hypothermic patients. One specific example was the identification of the gastrointestinal endoscopic patients having a rate of hypothermia that was 2% higher than average. Directed education on the importance of Bair Hugger blankets and using warm intravenous fluids worked well to decrease the rate of hypothermia in these patients. This collection of data was shared at regular intervals during monthly department meetings as well and more frequently using departmental emails. The hospital’s secure intranet SharePoint (Microsoft) site was used to share the data among providers.

Study of the interventions and measures

To study the effectiveness and impact of the project to motivate our anesthesiologists and other team members, we compared the first temperatures obtained in the recovery unit prior to the start of the intervention with those collected after the start of the QI project in November 2018. Because of the variability of temperature monitoring intraoperatively (nasal, axillary, rectal), we decided to use the temperature obtained by the nurse in the recovery room upon the patient’s arrival. Over the years analyzed, the nurse’s technique of measuring the temperature remained consistent. All patient temperature measurements were performed using the TAT-5000 (Exergen Corporation). This temporal artery thermometer has been previously shown to correlate well with bladder temperatures (70% of measurements differ by no more than 0.5 °C, as reported by Langham et al16).

Admittedly, we could not measure the degree of motivation or internalization of the project goals by our cohort, but we could measure the reduction in the rate of hypothermia and subjectively gauge engagement in the project by the various groups of participants and the sustainability of the results. In addition, all participating anesthesiologists received MOCA Part 4 credits in July 2019. We continued our data collection until April 2021 to determine if our project had brought about sustainable changes in practice that would continue past the initial motivator of obtaining CME credit.

Analysis

Data analysis was performed using Excel (Microsoft) and SAS, version 9.4 (SAS Institute).

The median of the monthly percentage of patients with a temperature of less than 36.0 °C was also determined for the preintervention time frame. This served as our baseline hypothermia rate, and we aimed to lower it by 50%. Run charts, a well-described methodology to gauge the effectiveness of the QI project, were constructed with the collected data.17

 

 

We performed additional analysis to adjust for different time periods throughout the year. The time period between January 2016 and October 2018 was considered preintervention. We considered November 2018 the start of our intervention, or more specifically, the start of our PDSA cycles. October 2018 was analyzed as part of the preintervention data. To account for seasonal temperature variations, the statistical analysis focused on the comparisons of the same calendar quarters for before and after starting intervention using Wilcoxon Mann-Whitney U tests. To reach an overall conclusion, the probabilities for the 4 quarters were combined for each criterion separately utilizing the Fisher χ2 combined probability method.

The hypothermia QI project was reviewed by the institutional review board and determined to be exempt.

Results

The temperatures of 40 875 patients were available for analysis for the preintervention period between January 2016 and October 2018. The median percentage of patients with temperatures less than 36.0 °C was 6.9% (interquartile range [IQR], 5.8%-8.4%). The highest percentage was in February 2016 (9.9%), and the lowest was in March 2018 (3.4%). Following the start of the first PDSA cycle, the next 6 consecutive rates of hypothermia were below the median preintervention value, and a new median for these percentages was calculated at 3.4% (IQR, 2.6%-4.3%). In July 2019, the proportion of hypothermic patients decreased once more for 6 consecutive months, yielding a new median of 1.6% (IQR, 1.2%-1.8%) and again in July 2020, to yield a median of 1.3% (IQR, 1.2%-1.5%) (Figure). In all, 33 799 patients were analyzed after the start of the project from November 2018 to the end of the data collection period through April 2021.

The preintervention monthly rates of hypothermia were compared, quarter to quarter, with those starting in November 2018 using the Wilcoxon Mann-Whitney U test. The decrease in proportion of hypothermic patients after the start of the intervention was statistically significant (P < .001). In addition, the percentage of patients with temperatures greater than 38 °C was not significantly different between the pre- and postintervention time periods (P < .25) (Table 2). The decrease in the number of patients available for analysis from March 2020 to May 2020 was due to the COVID-19 pandemic.

Subjectively, we did not experience any notable resistance to our efforts, and the experience was largely positive for everyone involved. Clinicians identified as having high monthly rates of hypothermia (5% or higher) corrected their numbers the following month after being notified via email or in person.

 

 

Discussion

To achieve changes in practice, the health care industry has relied on instituting guidelines, regulations, and policies, often with punitive consequences. We call into question this long-standing framework and propose a novel approach to help evolve the field of QI. Studies in human psychology have long demonstrated the demotivation power of a reward system and the negative response to attempts by authority to use incentives to control or coerce. In our QI project, we instituted 3 PDSA cycles and applied elements from SDT to motivate people’s behaviors. We demonstrate how a new culture focused on maintaining intraoperative normothermia was developed and brought about a measurable and significant decrease in the rate of hypothermia. The relevance of SDT, a widely accepted unifying theory that bridges and links social and personality psychology, should not be understated in health care. Authorities wishing to have long-standing influence should consider a person’s right to make their own decisions and, if possible, a unique way of doing things.

Positively reinforcing behavior has been shown to have a paradoxical effect by dampening an individual’s intrinsic motivation or desire to perform certain tasks.18 Deadlines, surveillance, and authoritative commands are also deterrents.19,20 We focused on providing the tools and information to the clinicians and relied on their innate need for autonomy, growth, and self-actualization to bring about change in clinical practice.21 Group meetings served as a construct for exchanging ideas and to encourage participation, but without the implementation of rigid guidelines or policies. Intraoperative active warming devices and temperature probes were made available, but their use was not mandated. The use of these devices was intentionally not audited to avoid any overbearing control. Providers were, however, given monthly temperature data to help individually assess the effectiveness of their interventions. We did not impose any negative or punitive actions for those clinicians who had high rates of hypothermic patients, and we did not reward those who had low rates of hypothermia. We wanted the participants to feel that the inner self was the source of their behavior, and this was in parallel with their own interests and values. If providers could feel their need for competency could be realized, we hoped they would continue to adhere to the measures we provided to maintain a low rate of hypothermia.

The effectiveness of our efforts was demonstrated by a decrease in the prevalence of postoperative hypothermia in our surgical patients. The initial decrease of the median rate of hypothermia from 6.9% to 3.4% occurred shortly into the start of the first PDSA cycle. The second PDSA cycle started in January 2019 with a multimodal approach and included almost all parties involved in the perioperative care of our surgical patients. Not only was this intervention responsible for a continued downward trend in the percentage of hypothermic patients, but it set the stage for the third and final PDSA cycle, which started in July 2019. The architecture was in place to integrate trainees and APPs to reinforce our initiative. Subsequently, the new median percentage of hypothermic patients was further decreased to an all-time low of 1.6% per month, satisfying and surpassing the goal of the QI project of decreasing the rate of hypothermia by only 50%. Our organization thereafter maintained a monthly hypothermia rate below 2%, except for April 2020, when it reached 2.5%. Our lowest median percentage was obtained after July 2020, reaching 1.3%.

To account for seasonal variations in temperatures and types of surgeries performed, we compared the percentage of hypothermic patients before and after the start of intervention, quarter by quarter. The decrease in the proportion of hypothermic patients after the start of intervention was statistically significant (P < .001). In addition, the data failed to prove any statistical difference for temperatures above 38 °C between the 2 periods, indicating that our interventions did not result in significant overwarming of patients. The clinical implications of decreasing the percentage of hypothermic patients from 6.9% to 1.3% is likely clinically important when considering the large number of patients who undergo surgery at large tertiary care pediatric centers. Even if simple interventions reduce hypothermia in only a handful of patients, routine applications of simple measures to keep patients normothermic is likely best clinical practice.

Anesthesiologists who participated in the hypothermia QI project by tracking the incidence of hypothermia in their patients were able to collect MOCA Part 4 credits in July 2019. There was no requirement for the individual anesthesiologist to reduce the rate of hypothermia or apply any of the encouraged strategies to obtain credit. As previously stated, there were also no rewards for obtaining low hypothermia rates for the providers. The temperature data continued to be collected through April 2021, 21 months after the credits were distributed, to demonstrate a continued, meaningful change, at least in the short-term. While the MOCA Part 4 credits likely served as an initial motivating factor to encourage participation in the QI project, they certainly were not responsible for the sustained low hypothermia rate after July 2019. We showed that the low rate of hypothermia was successfully maintained, indicating that the change in providers’ behavior was independent of the external motivator of obtaining the credit hours. Mere participation in the project by reviewing one’s temperature data was all that was required to obtain the credit. The Organismic Integration Theory, a mini-theory within SDT, best explains this phenomenon by describing any motivated behavior on a continuum ranging from controlled to autonomous.22 Do people perform the task resentfully, on their own volition because they believe it is the correct action, or somewhere in between? We explain the sustained low rates of hypothermia after the MOCA credits were distributed due to a shift to the autonomous end of the continuum with the clinician’s active willingness to meet the challenges and apply intrinsically motivated behaviors to lower the rate of hypothermia. The internalization of external motivators is difficult to prove, but the evidence supports that the methods we used to motivate individuals were effective and have resulted in a significant downward trend in our hypothermia rate.

 

 

There are several limitations to our QI project. The first involves the measuring of postoperative temperature in the recovery units. The temperatures were obtained using the same medical-grade infrared thermometer for all the patients, but other variables, such as timing and techniques, were not standardized. Secondly, overall surgical outcomes related to hypothermia were not tracked because we were unable to control for other confounding variables in our large cohort of patients, so we cannot say if the drop in the hypothermia rate had a clinically significant outcome. Thirdly, we propose that SDT offers a compellingly fitting explanation of the psychology of motivation in our efforts, but it may be possible that other theories may offer equally fitting explanations. The ability to measure the degree of motivation is lacking, and we did not explicitly ask participants what their specific source of motivation was. Aside from SDT, the reduction in hypothermia rate could also be attributed to the ease and availability of warming equipment that was made in each OR. This QI project was successfully applied to only 1 institution, so its ability to be widely applicable remains uncertain. In addition, data collection continued during the COVID-19 pandemic when case volumes decreased. However, by June 2020, the number of surgical cases at our institution had largely returned to prepandemic levels. Additional data collection beyond April 2021 would be helpful to determine if the reduction in hypothermia rates is truly sustained.

Conclusion

Overall, the importance of maintaining perioperative normothermia was well disseminated and agreed upon by all departments involved. Despite the limitations of the project, there was a significant reduction in rates of hypothermia, and sustainability of outcomes was consistently demonstrated in the poststudy period.

Using 3 cycles of the PDSA method, we successfully decreased the median rate of postoperative hypothermia in our pediatric surgical population from a preintervention value of 6.9% to 1.3%—a reduction of more than 81.2%. We provided motivation for members of our anesthesiology staff to participate by offering MOCA 2.0 Part 4 credits, but the lower rate of hypothermic patients was maintained for 15 months after the credits were distributed. Over the course of the project, there was a shift in culture, and extra vigilance was given to temperature monitoring and assessment. We attribute this sustained cultural change to the deliberate incorporation of the principles of competency, autonomy, and relatedness central to SDT to the structure of the interventions, avoiding rigid guidelines and pathways in favor of affective engagement to establish intrinsic motivation.

Acknowledgements: The authors thank Joan Reisch, PhD, for her assistance with the statistical analysis.

Corresponding author: Edgar Erold Kiss, MD, 1935 Medical District Dr, Dallas, TX 75235; edgar.kiss@UTSouthwestern.edu.

Financial disclosures: None.

References

1. Leslie K, Sessler DI. Perioperative hypothermia in the high-risk surgical patient. Best Pract Res Clin Anaesthesiol. 2003;17(4):485-498.

2. Sessler DI. Forced-air warming in infants and children. Paediatr Anaesth. 2013;23(6):467-468.

3. Wetzel RC. Evaluation of children. In: Longnecker DE, Tinker JH, Morgan Jr GE, eds. Principles and Practice of Anesthesiology. 2nd ed. Mosby Publishers; 1999:445-447.

4. Witt L, Dennhardt N, Eich C, et al. Prevention of intraoperative hypothermia in neonates and infants: results of a prospective multicenter observational study with a new forced-air warming system with increased warm air flow. Paediatr Anaesth. 2013;23(6):469-474.

5. Blum R, Cote C. Pediatric equipment. In: Blum R, Cote C, eds. A Practice of Anaesthesia for Infants and Children. Saunders Elsevier; 2009:1099-1101.

6. Doufas AG. Consequences of inadvertent perioperative hypothermia. Best Pract Res Clin Anaesthesiol. 2003;17(4):535-549.

7. Mahoney CB, Odom J. Maintaining intraoperative normothermia: a meta-analysis of outcomes with costs. AANA J. 1999;67(2):155-163.

8. American Society of Anesthesiologists Committee on Standards and Practice Parameters. Standards for Basic Anesthetic Monitoring. Approved by the ASA House of Delegates October 21, 1986; last amended October 20, 2010; last affirmed October 28, 2015.

9. Horn E-P, Bein B, Böhm R, et al. The effect of short time periods of pre-operative warming in the prevention of peri-operative hypothermia. Anaesthesia. 2012;67(6):612-617.

10. Andrzejowski J, Hoyle J, Eapen G, Turnbull D. Effect of prewarming on post-induction core temperature and the incidence of inadvertent perioperative hypothermia in patients undergoing general anaesthesia. Br J Anaesth. 2008;101(5):627-631.

11. Sessler DI. Complications and treatment of mild hypothermia. Anesthesiology. 2001;95(2):531-543.

12. Bräuer A, English MJM, Steinmetz N, et al. Efficacy of forced-air warming systems with full body blankets. Can J Anaesth. 2007;54(1):34-41.

13. Deci EL, Ryan RM. The “what” and “why” of goal pursuits: human needs and the self‐determination of behavior. Psychol Inquiry. 2000;11(4):227-268.

14. Al-Shamari M, Puttha R, Yuen S, et al. G9 Can introduction of a hypothermia bundle reduce hypothermia in the newborns? Arch Dis Childhood. 2019;104(suppl 2):A4.1-A4.

15. Institute for Healthcare Improvement. How to improve. Accessed May 12, 2021. http://www.ihi.org/resources/Pages/HowtoImprove/default.aspx

16. Langham GE, Meheshwari A, You J, et al. Noninvasive temperature monitoring in postanesthesia care units. Anesthesiology. 2009;111(1):90-96.

17. Perla RJ, Provost LP, Murray SK. The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qual Saf. 2011;20(1):46-51.

18. Deci EL. Effects of externally mediated rewards on intrinsic motivation. J Pers Soc Psychol. 1971;18(1):105-115.

19. Deci EL, Koestner R, Ryan RM. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol Bull. 1999;125(6):627-668.

20. Deci EL, Koestner R, Ryan RM. The undermining effect is a reality after all—extrinsic rewards, task interest, and self-determination: Reply to Eisenberger, Pierce, and Cameron (1999) and Lepper, Henderlong, and Gingras (1999). Psychol Bull. 1999;125(6):692-700.

21. Maslow A. The Farther Reaches of Human Nature. Viking Press; 1971.

22. Sheldon KM, Prentice M. Self-determination theory as a foundation for personality researchers. J Pers. 2019;87(1):5-14.

References

1. Leslie K, Sessler DI. Perioperative hypothermia in the high-risk surgical patient. Best Pract Res Clin Anaesthesiol. 2003;17(4):485-498.

2. Sessler DI. Forced-air warming in infants and children. Paediatr Anaesth. 2013;23(6):467-468.

3. Wetzel RC. Evaluation of children. In: Longnecker DE, Tinker JH, Morgan Jr GE, eds. Principles and Practice of Anesthesiology. 2nd ed. Mosby Publishers; 1999:445-447.

4. Witt L, Dennhardt N, Eich C, et al. Prevention of intraoperative hypothermia in neonates and infants: results of a prospective multicenter observational study with a new forced-air warming system with increased warm air flow. Paediatr Anaesth. 2013;23(6):469-474.

5. Blum R, Cote C. Pediatric equipment. In: Blum R, Cote C, eds. A Practice of Anaesthesia for Infants and Children. Saunders Elsevier; 2009:1099-1101.

6. Doufas AG. Consequences of inadvertent perioperative hypothermia. Best Pract Res Clin Anaesthesiol. 2003;17(4):535-549.

7. Mahoney CB, Odom J. Maintaining intraoperative normothermia: a meta-analysis of outcomes with costs. AANA J. 1999;67(2):155-163.

8. American Society of Anesthesiologists Committee on Standards and Practice Parameters. Standards for Basic Anesthetic Monitoring. Approved by the ASA House of Delegates October 21, 1986; last amended October 20, 2010; last affirmed October 28, 2015.

9. Horn E-P, Bein B, Böhm R, et al. The effect of short time periods of pre-operative warming in the prevention of peri-operative hypothermia. Anaesthesia. 2012;67(6):612-617.

10. Andrzejowski J, Hoyle J, Eapen G, Turnbull D. Effect of prewarming on post-induction core temperature and the incidence of inadvertent perioperative hypothermia in patients undergoing general anaesthesia. Br J Anaesth. 2008;101(5):627-631.

11. Sessler DI. Complications and treatment of mild hypothermia. Anesthesiology. 2001;95(2):531-543.

12. Bräuer A, English MJM, Steinmetz N, et al. Efficacy of forced-air warming systems with full body blankets. Can J Anaesth. 2007;54(1):34-41.

13. Deci EL, Ryan RM. The “what” and “why” of goal pursuits: human needs and the self‐determination of behavior. Psychol Inquiry. 2000;11(4):227-268.

14. Al-Shamari M, Puttha R, Yuen S, et al. G9 Can introduction of a hypothermia bundle reduce hypothermia in the newborns? Arch Dis Childhood. 2019;104(suppl 2):A4.1-A4.

15. Institute for Healthcare Improvement. How to improve. Accessed May 12, 2021. http://www.ihi.org/resources/Pages/HowtoImprove/default.aspx

16. Langham GE, Meheshwari A, You J, et al. Noninvasive temperature monitoring in postanesthesia care units. Anesthesiology. 2009;111(1):90-96.

17. Perla RJ, Provost LP, Murray SK. The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qual Saf. 2011;20(1):46-51.

18. Deci EL. Effects of externally mediated rewards on intrinsic motivation. J Pers Soc Psychol. 1971;18(1):105-115.

19. Deci EL, Koestner R, Ryan RM. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol Bull. 1999;125(6):627-668.

20. Deci EL, Koestner R, Ryan RM. The undermining effect is a reality after all—extrinsic rewards, task interest, and self-determination: Reply to Eisenberger, Pierce, and Cameron (1999) and Lepper, Henderlong, and Gingras (1999). Psychol Bull. 1999;125(6):692-700.

21. Maslow A. The Farther Reaches of Human Nature. Viking Press; 1971.

22. Sheldon KM, Prentice M. Self-determination theory as a foundation for personality researchers. J Pers. 2019;87(1):5-14.

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Designing Quality Programs for Rural Hospitals

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Designing Quality Programs for Rural Hospitals

Population-based hospital payments provide incentives to reduce unnecessary healthcare use and a mechanism to finance population health investments. For hospitals, these payments provide stable revenue and flexibility in exchange for increased financial risk. The COVID-19 pandemic significantly reduced fee-for-service revenues, which has spurred provider interest in population-based payments, particularly from cash-strapped rural hospitals.

The Centers for Medicare & Medicaid Services (CMS) recently announced the launch of the Community Health Access and Rural Transformation (CHART) Model to test whether up-front, population-based payments improve access to high-quality care in rural communities and protect the financial stability of rural providers. This model follows the ongoing Pennsylvania Rural Health Model (PARHM), which offers similar payments to Pennsylvania’s rural hospitals. Prospective population-based hospital reimbursement appears to have helped Maryland’s hospitals survive the financial stress of the COVID-19 pandemic,1 and it is likely that the PARHM did the same for rural hospitals in Pennsylvania. Both the PARHM and the CHART Model place quality measurement and improvement at the core of payment reform, and for good reason. Capitation generates incentives for care stinting; linking prospective payments to quality measurement helps to ensure accountability. However, measuring the quality of rural healthcare is challenging. Rural health is different: Hospital size, payment mechanisms, and community health priorities are all distinct from those of metropolitan areas, which is why CMS exempts Critical Access Hospitals from Medicare’s core quality programs. Rural quality reporting programs could be established that address the unique aspects of rural healthcare.

As designers (JEF, DTL) of, and an advisor (ALS) for, a proposed pay-for-performance (P4P) program for the PARHM,2 we identified three central challenges in constructing and implementing P4P programs for rural hospitals, along with potential solutions. We hope that the lessons we learned can inform similar policy efforts.

First, many rural hospitals serve as stewards of community health resources. While metropolitan hospital systems can make targeted investments in population health, assigning accountability for health outcomes is challenging in cities where geographically overlapping provider systems compete for patients. In contrast, a rural hospital system with few or no competing providers is more naturally accountable for community health outcomes, especially if it owns most ambulatory clinics in its community. P4P programs could therefore reward rural hospitals for improving healthcare quality or health outcomes within their catchment areas. Like an accountable care organization (ACO), a rural hospital or hospital-based health system could be held accountable for appropriate screening for, and treatment of, uncontrolled hypertension, diabetes, or asthma, even without a network of community-based primary care providers that ACOs usually possess. Participants in the CHART Model’s Community Transformation Track, for example, select three community-level population health measures from four domains: substance use, chronic conditions, maternal health, and prevention. Accountability for community health outcomes is increasingly feasible because many larger rural hospitals have merged or been acquired.3

Second, small rural hospital patient volumes obscure the signal of true quality with statistical noise. Many common quality indicators, like risk-standardized mortality rates, are unreliable in rural settings with low patient volumes; in 2012-2013, the mean rural hospital daily census was seven inpatients.4,5 Payers and regulators have addressed this challenge by exempting rural hospitals from quality-reporting programs or by employing statistical techniques that diminish incentives to invest in improvement. CMS, for example, uses “shrinkage” estimators that adjust a hospital’s quality score toward a program-wide average, which makes it difficult to detect and reward performance improvement.4 Instead, rural P4P programs should use measures that are resistant to low patient volumes, such as the Measure Application Partnership’s (MAP) Core Set of Rural-Relevant Measures.6 Low volume–resistant measures include process and population-health outcome measures with naturally large denominators (eg, medication reconciliation), structural measures for which sample size is irrelevant (eg, nurse staffing ratios), and qualitative assessments of hospital adherence to best practices. CMS and other measure developers should also prioritize the creation of other rural-relevant, cross-cutting, low volume–resistant measures, like avoidance of deliriogenic medications in the elderly or initiation of treatment for substance use disorders, in consultation with rural stakeholders and the MAP Rural Health Workgroup. When extensive measurement noise is inevitable, public and private policymakers should eschew downside risk in rural P4P contracts.

Third, many rural hospitals have limited resources for measurement and improvement.7 While many well-resourced community hospitals have dedicated quality departments, quality directors in rural hospitals often have at least one other full-time job. Well-intentioned exemptions from P4P programs have left rural hospitals with limited experience with basic data collection and reporting, a handicap compounded by redundant and misaligned payor quality reporting requirements. To engage rural hospitals in quality improvement work, payors should coordinate to make participation in rural P4P programs as easy as possible. The adoption of a locally aligned set of healthcare quality measures by all payors in a region, like the PARHM’s proposed “all-payer quality program,” could substantially reduce administrative burden and motivate rural hospitals to enhance patient care and improve community health. In the CHART Model’s Community Transformation Track, for example, all public and private participating payers in each region must report on six quality measures: inpatient and emergency department visits for ambulatory care sensitive conditions, hospital-wide all-cause unplanned readmissions, and the Hospital Consumer Assessment of Health Care survey, as well as three community-chosen measures from the domains of substance use, maternal health, and prevention.8 As with all P4P programs, rural P4P programs should focus on a small number of meaningful measures, such as functional and clinical outcomes, complications, and patient experience, and feature relatively large rewards for improvement.9 The National Quality Forum recommends that rural programs avoid downside risk, reward improvement as well as achievement, and permit virtual provider groups.10 We would add that programs in rural communities ought to pair economic rewards with social recognition and comparison, offer technical assistance and opportunities for shared learning, and account for social as well as medical risk.

Many challenges to the adoption of rural P4P programs have been targeted through multi-stakeholder collaborations like the PARHM. Careful allocation of technical assistance resources may help address barriers such as comparing the performance of heterogeneous rural hospitals that vary in characteristics like size, affiliation with large health systems, or integration of ambulatory care services, which may affect hospital measurement capabilities and performance. Quality improvement efforts could be further bolstered through direct allocation of funds to the creation of virtual shared learning platforms, and by providing performance bonuses to groups of small hospitals that elect to engage in shared reporting.

The stakes are high for designing robust quality programs for rural hospitals. Although one in five Americans rely on them for healthcare, their rate of closure has accelerated in the past decade.11 CMS has made it clear that a sustainable system for financing rural health must be built around a commitment to quality measurement and improvement. While some rural provider organizations might be best served by participating in voluntary rural health networks and preexisting federal programs like the Medicare Beneficiary Quality Improvement Project, they should also have the opportunity to accept payments tied to quality, especially as growing numbers of rural hospitals are absorbed into larger healthcare systems. Adopting aligned sets of reliable and meaningful quality measures alongside population-based payments will help to create a sustainable future for rural hospitals.

Acknowledgment

We thank Mark Friedberg, MD, MPP, for his helpful comments on an earlier draft of this manuscript.

References

1. Peterson CL, Schumacher DN. How Maryland’s Total Cost of Care Model has helped hospitals manage the COVID-19 stress test. Health Affairs blog. October 7, 2020. Accessed July 15, 2021. https://www.healthaffairs.org/doi/10.1377/hblog20201005.677034/full/
2. Herzog MB, Fried JE, Liebers DT, MacKinney AC. Development of an all-payer quality program for the Pennsylvania Rural Health Model. J Rural Health. Published online December 4, 2020. https://doi.org/10.1111/jrh.12547
3. Williams D Jr, Reiter KL, Pink GH, Holmes GM, Song PH. Rural hospital mergers increased between 2005 and 2016—what did those hospitals look like? Inquiry. 2020;57:46958020935666. https://doi.org/10.1177/0046958020935666
4. Schwartz AL. Accuracy vs. incentives: a tradeoff for performance measurement. Am J Health Econ. Accepted February 8, 2021. https://doi.org/10.1086/714374
5. Freeman V, Thompson K, Howard HA, et al. The 21st Century Rural Hospital: A Chart Book. Cecil G. Sheps Center for Health Services Research. March 2015. https://www.shepscenter.unc.edu/product/21st-century-rural-hospital-chart-book/https://www.shepscenter.unc.edu/programs-projects/rural-health/projects/north-carolina-rural-health-research-and-policy-analysis-center/publications/
6. National Quality Forum. A core set of rural-relevant measures and measuring and improving access to care: 2018 recommendations from the MAP Rural Health Workgroup. August 31, 2018.
7. US Government Accountability Office. Medicare value-based payment models: participation challenges and available assistance for small and rural practices. December 9, 2016. Accessed July 15, 2021. https://www.gao.gov/products/gao-17-55
8. US Department of Health & Human Services. Community Health Access and Rural Transformation (CHART). Funding Opportunity Number: CMS-2G2-21-001. March 5, 2021. Accessed July 15, 2021. https://www.grants.gov/web/grants/view-opportunity.html?oppId=329062
9. Jha AK. Time to get serious about pay for performance. JAMA. 2013;309(4):347-348. https://doi.org/10.1001/jama.2012.196646
10. National Quality Forum. Performance measurement for rural low-volume providers. September 14, 2015. https://www.qualityforum.org/Publications/2015/09/Rural_Health_Final_Report.aspx
11. US Government Accountability Office. Rural hospital closures: number and characteristics of affected hospitals and contributing factors. GAO-18-634. August 29, 2018. https://www.gao.gov/assets/gao-18-634.pdf

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1Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts; 2Department of Psychiatry, New York University Langone Health, New York, New York; 3Department of Medical Ethics and Health Policy and Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; 4Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania.

Disclosures
Drs Fried and Liebers received funding from the Pennsylvania Department of Health to assist with the development of the Pennsylvania Rural Health Model. The content is solely the responsibility of the authors and does not necessarily reflect the views of the Pennsylvania Department of Health, the Commonwealth of Pennsylvania, the Centers for Medicare & Medicaid Services, the US Department of Health and Human Services, the US Department of Veterans Affairs, or the US Government.

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1Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts; 2Department of Psychiatry, New York University Langone Health, New York, New York; 3Department of Medical Ethics and Health Policy and Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; 4Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania.

Disclosures
Drs Fried and Liebers received funding from the Pennsylvania Department of Health to assist with the development of the Pennsylvania Rural Health Model. The content is solely the responsibility of the authors and does not necessarily reflect the views of the Pennsylvania Department of Health, the Commonwealth of Pennsylvania, the Centers for Medicare & Medicaid Services, the US Department of Health and Human Services, the US Department of Veterans Affairs, or the US Government.

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1Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts; 2Department of Psychiatry, New York University Langone Health, New York, New York; 3Department of Medical Ethics and Health Policy and Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; 4Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania.

Disclosures
Drs Fried and Liebers received funding from the Pennsylvania Department of Health to assist with the development of the Pennsylvania Rural Health Model. The content is solely the responsibility of the authors and does not necessarily reflect the views of the Pennsylvania Department of Health, the Commonwealth of Pennsylvania, the Centers for Medicare & Medicaid Services, the US Department of Health and Human Services, the US Department of Veterans Affairs, or the US Government.

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Related Articles

Population-based hospital payments provide incentives to reduce unnecessary healthcare use and a mechanism to finance population health investments. For hospitals, these payments provide stable revenue and flexibility in exchange for increased financial risk. The COVID-19 pandemic significantly reduced fee-for-service revenues, which has spurred provider interest in population-based payments, particularly from cash-strapped rural hospitals.

The Centers for Medicare & Medicaid Services (CMS) recently announced the launch of the Community Health Access and Rural Transformation (CHART) Model to test whether up-front, population-based payments improve access to high-quality care in rural communities and protect the financial stability of rural providers. This model follows the ongoing Pennsylvania Rural Health Model (PARHM), which offers similar payments to Pennsylvania’s rural hospitals. Prospective population-based hospital reimbursement appears to have helped Maryland’s hospitals survive the financial stress of the COVID-19 pandemic,1 and it is likely that the PARHM did the same for rural hospitals in Pennsylvania. Both the PARHM and the CHART Model place quality measurement and improvement at the core of payment reform, and for good reason. Capitation generates incentives for care stinting; linking prospective payments to quality measurement helps to ensure accountability. However, measuring the quality of rural healthcare is challenging. Rural health is different: Hospital size, payment mechanisms, and community health priorities are all distinct from those of metropolitan areas, which is why CMS exempts Critical Access Hospitals from Medicare’s core quality programs. Rural quality reporting programs could be established that address the unique aspects of rural healthcare.

As designers (JEF, DTL) of, and an advisor (ALS) for, a proposed pay-for-performance (P4P) program for the PARHM,2 we identified three central challenges in constructing and implementing P4P programs for rural hospitals, along with potential solutions. We hope that the lessons we learned can inform similar policy efforts.

First, many rural hospitals serve as stewards of community health resources. While metropolitan hospital systems can make targeted investments in population health, assigning accountability for health outcomes is challenging in cities where geographically overlapping provider systems compete for patients. In contrast, a rural hospital system with few or no competing providers is more naturally accountable for community health outcomes, especially if it owns most ambulatory clinics in its community. P4P programs could therefore reward rural hospitals for improving healthcare quality or health outcomes within their catchment areas. Like an accountable care organization (ACO), a rural hospital or hospital-based health system could be held accountable for appropriate screening for, and treatment of, uncontrolled hypertension, diabetes, or asthma, even without a network of community-based primary care providers that ACOs usually possess. Participants in the CHART Model’s Community Transformation Track, for example, select three community-level population health measures from four domains: substance use, chronic conditions, maternal health, and prevention. Accountability for community health outcomes is increasingly feasible because many larger rural hospitals have merged or been acquired.3

Second, small rural hospital patient volumes obscure the signal of true quality with statistical noise. Many common quality indicators, like risk-standardized mortality rates, are unreliable in rural settings with low patient volumes; in 2012-2013, the mean rural hospital daily census was seven inpatients.4,5 Payers and regulators have addressed this challenge by exempting rural hospitals from quality-reporting programs or by employing statistical techniques that diminish incentives to invest in improvement. CMS, for example, uses “shrinkage” estimators that adjust a hospital’s quality score toward a program-wide average, which makes it difficult to detect and reward performance improvement.4 Instead, rural P4P programs should use measures that are resistant to low patient volumes, such as the Measure Application Partnership’s (MAP) Core Set of Rural-Relevant Measures.6 Low volume–resistant measures include process and population-health outcome measures with naturally large denominators (eg, medication reconciliation), structural measures for which sample size is irrelevant (eg, nurse staffing ratios), and qualitative assessments of hospital adherence to best practices. CMS and other measure developers should also prioritize the creation of other rural-relevant, cross-cutting, low volume–resistant measures, like avoidance of deliriogenic medications in the elderly or initiation of treatment for substance use disorders, in consultation with rural stakeholders and the MAP Rural Health Workgroup. When extensive measurement noise is inevitable, public and private policymakers should eschew downside risk in rural P4P contracts.

Third, many rural hospitals have limited resources for measurement and improvement.7 While many well-resourced community hospitals have dedicated quality departments, quality directors in rural hospitals often have at least one other full-time job. Well-intentioned exemptions from P4P programs have left rural hospitals with limited experience with basic data collection and reporting, a handicap compounded by redundant and misaligned payor quality reporting requirements. To engage rural hospitals in quality improvement work, payors should coordinate to make participation in rural P4P programs as easy as possible. The adoption of a locally aligned set of healthcare quality measures by all payors in a region, like the PARHM’s proposed “all-payer quality program,” could substantially reduce administrative burden and motivate rural hospitals to enhance patient care and improve community health. In the CHART Model’s Community Transformation Track, for example, all public and private participating payers in each region must report on six quality measures: inpatient and emergency department visits for ambulatory care sensitive conditions, hospital-wide all-cause unplanned readmissions, and the Hospital Consumer Assessment of Health Care survey, as well as three community-chosen measures from the domains of substance use, maternal health, and prevention.8 As with all P4P programs, rural P4P programs should focus on a small number of meaningful measures, such as functional and clinical outcomes, complications, and patient experience, and feature relatively large rewards for improvement.9 The National Quality Forum recommends that rural programs avoid downside risk, reward improvement as well as achievement, and permit virtual provider groups.10 We would add that programs in rural communities ought to pair economic rewards with social recognition and comparison, offer technical assistance and opportunities for shared learning, and account for social as well as medical risk.

Many challenges to the adoption of rural P4P programs have been targeted through multi-stakeholder collaborations like the PARHM. Careful allocation of technical assistance resources may help address barriers such as comparing the performance of heterogeneous rural hospitals that vary in characteristics like size, affiliation with large health systems, or integration of ambulatory care services, which may affect hospital measurement capabilities and performance. Quality improvement efforts could be further bolstered through direct allocation of funds to the creation of virtual shared learning platforms, and by providing performance bonuses to groups of small hospitals that elect to engage in shared reporting.

The stakes are high for designing robust quality programs for rural hospitals. Although one in five Americans rely on them for healthcare, their rate of closure has accelerated in the past decade.11 CMS has made it clear that a sustainable system for financing rural health must be built around a commitment to quality measurement and improvement. While some rural provider organizations might be best served by participating in voluntary rural health networks and preexisting federal programs like the Medicare Beneficiary Quality Improvement Project, they should also have the opportunity to accept payments tied to quality, especially as growing numbers of rural hospitals are absorbed into larger healthcare systems. Adopting aligned sets of reliable and meaningful quality measures alongside population-based payments will help to create a sustainable future for rural hospitals.

Acknowledgment

We thank Mark Friedberg, MD, MPP, for his helpful comments on an earlier draft of this manuscript.

Population-based hospital payments provide incentives to reduce unnecessary healthcare use and a mechanism to finance population health investments. For hospitals, these payments provide stable revenue and flexibility in exchange for increased financial risk. The COVID-19 pandemic significantly reduced fee-for-service revenues, which has spurred provider interest in population-based payments, particularly from cash-strapped rural hospitals.

The Centers for Medicare & Medicaid Services (CMS) recently announced the launch of the Community Health Access and Rural Transformation (CHART) Model to test whether up-front, population-based payments improve access to high-quality care in rural communities and protect the financial stability of rural providers. This model follows the ongoing Pennsylvania Rural Health Model (PARHM), which offers similar payments to Pennsylvania’s rural hospitals. Prospective population-based hospital reimbursement appears to have helped Maryland’s hospitals survive the financial stress of the COVID-19 pandemic,1 and it is likely that the PARHM did the same for rural hospitals in Pennsylvania. Both the PARHM and the CHART Model place quality measurement and improvement at the core of payment reform, and for good reason. Capitation generates incentives for care stinting; linking prospective payments to quality measurement helps to ensure accountability. However, measuring the quality of rural healthcare is challenging. Rural health is different: Hospital size, payment mechanisms, and community health priorities are all distinct from those of metropolitan areas, which is why CMS exempts Critical Access Hospitals from Medicare’s core quality programs. Rural quality reporting programs could be established that address the unique aspects of rural healthcare.

As designers (JEF, DTL) of, and an advisor (ALS) for, a proposed pay-for-performance (P4P) program for the PARHM,2 we identified three central challenges in constructing and implementing P4P programs for rural hospitals, along with potential solutions. We hope that the lessons we learned can inform similar policy efforts.

First, many rural hospitals serve as stewards of community health resources. While metropolitan hospital systems can make targeted investments in population health, assigning accountability for health outcomes is challenging in cities where geographically overlapping provider systems compete for patients. In contrast, a rural hospital system with few or no competing providers is more naturally accountable for community health outcomes, especially if it owns most ambulatory clinics in its community. P4P programs could therefore reward rural hospitals for improving healthcare quality or health outcomes within their catchment areas. Like an accountable care organization (ACO), a rural hospital or hospital-based health system could be held accountable for appropriate screening for, and treatment of, uncontrolled hypertension, diabetes, or asthma, even without a network of community-based primary care providers that ACOs usually possess. Participants in the CHART Model’s Community Transformation Track, for example, select three community-level population health measures from four domains: substance use, chronic conditions, maternal health, and prevention. Accountability for community health outcomes is increasingly feasible because many larger rural hospitals have merged or been acquired.3

Second, small rural hospital patient volumes obscure the signal of true quality with statistical noise. Many common quality indicators, like risk-standardized mortality rates, are unreliable in rural settings with low patient volumes; in 2012-2013, the mean rural hospital daily census was seven inpatients.4,5 Payers and regulators have addressed this challenge by exempting rural hospitals from quality-reporting programs or by employing statistical techniques that diminish incentives to invest in improvement. CMS, for example, uses “shrinkage” estimators that adjust a hospital’s quality score toward a program-wide average, which makes it difficult to detect and reward performance improvement.4 Instead, rural P4P programs should use measures that are resistant to low patient volumes, such as the Measure Application Partnership’s (MAP) Core Set of Rural-Relevant Measures.6 Low volume–resistant measures include process and population-health outcome measures with naturally large denominators (eg, medication reconciliation), structural measures for which sample size is irrelevant (eg, nurse staffing ratios), and qualitative assessments of hospital adherence to best practices. CMS and other measure developers should also prioritize the creation of other rural-relevant, cross-cutting, low volume–resistant measures, like avoidance of deliriogenic medications in the elderly or initiation of treatment for substance use disorders, in consultation with rural stakeholders and the MAP Rural Health Workgroup. When extensive measurement noise is inevitable, public and private policymakers should eschew downside risk in rural P4P contracts.

Third, many rural hospitals have limited resources for measurement and improvement.7 While many well-resourced community hospitals have dedicated quality departments, quality directors in rural hospitals often have at least one other full-time job. Well-intentioned exemptions from P4P programs have left rural hospitals with limited experience with basic data collection and reporting, a handicap compounded by redundant and misaligned payor quality reporting requirements. To engage rural hospitals in quality improvement work, payors should coordinate to make participation in rural P4P programs as easy as possible. The adoption of a locally aligned set of healthcare quality measures by all payors in a region, like the PARHM’s proposed “all-payer quality program,” could substantially reduce administrative burden and motivate rural hospitals to enhance patient care and improve community health. In the CHART Model’s Community Transformation Track, for example, all public and private participating payers in each region must report on six quality measures: inpatient and emergency department visits for ambulatory care sensitive conditions, hospital-wide all-cause unplanned readmissions, and the Hospital Consumer Assessment of Health Care survey, as well as three community-chosen measures from the domains of substance use, maternal health, and prevention.8 As with all P4P programs, rural P4P programs should focus on a small number of meaningful measures, such as functional and clinical outcomes, complications, and patient experience, and feature relatively large rewards for improvement.9 The National Quality Forum recommends that rural programs avoid downside risk, reward improvement as well as achievement, and permit virtual provider groups.10 We would add that programs in rural communities ought to pair economic rewards with social recognition and comparison, offer technical assistance and opportunities for shared learning, and account for social as well as medical risk.

Many challenges to the adoption of rural P4P programs have been targeted through multi-stakeholder collaborations like the PARHM. Careful allocation of technical assistance resources may help address barriers such as comparing the performance of heterogeneous rural hospitals that vary in characteristics like size, affiliation with large health systems, or integration of ambulatory care services, which may affect hospital measurement capabilities and performance. Quality improvement efforts could be further bolstered through direct allocation of funds to the creation of virtual shared learning platforms, and by providing performance bonuses to groups of small hospitals that elect to engage in shared reporting.

The stakes are high for designing robust quality programs for rural hospitals. Although one in five Americans rely on them for healthcare, their rate of closure has accelerated in the past decade.11 CMS has made it clear that a sustainable system for financing rural health must be built around a commitment to quality measurement and improvement. While some rural provider organizations might be best served by participating in voluntary rural health networks and preexisting federal programs like the Medicare Beneficiary Quality Improvement Project, they should also have the opportunity to accept payments tied to quality, especially as growing numbers of rural hospitals are absorbed into larger healthcare systems. Adopting aligned sets of reliable and meaningful quality measures alongside population-based payments will help to create a sustainable future for rural hospitals.

Acknowledgment

We thank Mark Friedberg, MD, MPP, for his helpful comments on an earlier draft of this manuscript.

References

1. Peterson CL, Schumacher DN. How Maryland’s Total Cost of Care Model has helped hospitals manage the COVID-19 stress test. Health Affairs blog. October 7, 2020. Accessed July 15, 2021. https://www.healthaffairs.org/doi/10.1377/hblog20201005.677034/full/
2. Herzog MB, Fried JE, Liebers DT, MacKinney AC. Development of an all-payer quality program for the Pennsylvania Rural Health Model. J Rural Health. Published online December 4, 2020. https://doi.org/10.1111/jrh.12547
3. Williams D Jr, Reiter KL, Pink GH, Holmes GM, Song PH. Rural hospital mergers increased between 2005 and 2016—what did those hospitals look like? Inquiry. 2020;57:46958020935666. https://doi.org/10.1177/0046958020935666
4. Schwartz AL. Accuracy vs. incentives: a tradeoff for performance measurement. Am J Health Econ. Accepted February 8, 2021. https://doi.org/10.1086/714374
5. Freeman V, Thompson K, Howard HA, et al. The 21st Century Rural Hospital: A Chart Book. Cecil G. Sheps Center for Health Services Research. March 2015. https://www.shepscenter.unc.edu/product/21st-century-rural-hospital-chart-book/https://www.shepscenter.unc.edu/programs-projects/rural-health/projects/north-carolina-rural-health-research-and-policy-analysis-center/publications/
6. National Quality Forum. A core set of rural-relevant measures and measuring and improving access to care: 2018 recommendations from the MAP Rural Health Workgroup. August 31, 2018.
7. US Government Accountability Office. Medicare value-based payment models: participation challenges and available assistance for small and rural practices. December 9, 2016. Accessed July 15, 2021. https://www.gao.gov/products/gao-17-55
8. US Department of Health & Human Services. Community Health Access and Rural Transformation (CHART). Funding Opportunity Number: CMS-2G2-21-001. March 5, 2021. Accessed July 15, 2021. https://www.grants.gov/web/grants/view-opportunity.html?oppId=329062
9. Jha AK. Time to get serious about pay for performance. JAMA. 2013;309(4):347-348. https://doi.org/10.1001/jama.2012.196646
10. National Quality Forum. Performance measurement for rural low-volume providers. September 14, 2015. https://www.qualityforum.org/Publications/2015/09/Rural_Health_Final_Report.aspx
11. US Government Accountability Office. Rural hospital closures: number and characteristics of affected hospitals and contributing factors. GAO-18-634. August 29, 2018. https://www.gao.gov/assets/gao-18-634.pdf

References

1. Peterson CL, Schumacher DN. How Maryland’s Total Cost of Care Model has helped hospitals manage the COVID-19 stress test. Health Affairs blog. October 7, 2020. Accessed July 15, 2021. https://www.healthaffairs.org/doi/10.1377/hblog20201005.677034/full/
2. Herzog MB, Fried JE, Liebers DT, MacKinney AC. Development of an all-payer quality program for the Pennsylvania Rural Health Model. J Rural Health. Published online December 4, 2020. https://doi.org/10.1111/jrh.12547
3. Williams D Jr, Reiter KL, Pink GH, Holmes GM, Song PH. Rural hospital mergers increased between 2005 and 2016—what did those hospitals look like? Inquiry. 2020;57:46958020935666. https://doi.org/10.1177/0046958020935666
4. Schwartz AL. Accuracy vs. incentives: a tradeoff for performance measurement. Am J Health Econ. Accepted February 8, 2021. https://doi.org/10.1086/714374
5. Freeman V, Thompson K, Howard HA, et al. The 21st Century Rural Hospital: A Chart Book. Cecil G. Sheps Center for Health Services Research. March 2015. https://www.shepscenter.unc.edu/product/21st-century-rural-hospital-chart-book/https://www.shepscenter.unc.edu/programs-projects/rural-health/projects/north-carolina-rural-health-research-and-policy-analysis-center/publications/
6. National Quality Forum. A core set of rural-relevant measures and measuring and improving access to care: 2018 recommendations from the MAP Rural Health Workgroup. August 31, 2018.
7. US Government Accountability Office. Medicare value-based payment models: participation challenges and available assistance for small and rural practices. December 9, 2016. Accessed July 15, 2021. https://www.gao.gov/products/gao-17-55
8. US Department of Health & Human Services. Community Health Access and Rural Transformation (CHART). Funding Opportunity Number: CMS-2G2-21-001. March 5, 2021. Accessed July 15, 2021. https://www.grants.gov/web/grants/view-opportunity.html?oppId=329062
9. Jha AK. Time to get serious about pay for performance. JAMA. 2013;309(4):347-348. https://doi.org/10.1001/jama.2012.196646
10. National Quality Forum. Performance measurement for rural low-volume providers. September 14, 2015. https://www.qualityforum.org/Publications/2015/09/Rural_Health_Final_Report.aspx
11. US Government Accountability Office. Rural hospital closures: number and characteristics of affected hospitals and contributing factors. GAO-18-634. August 29, 2018. https://www.gao.gov/assets/gao-18-634.pdf

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A 61-year-old man presented to the emergency department (ED) for persistent headache that began after he fell in his bathroom 4 days earlier. He described the headache as generalized and constant, rating the severity as a 5 on a scale of 0 to 10. The patient denied any associated neck pain or changes in headache quality with position change. He reported a 3-day history of nausea and four episodes of vomiting.

Headache after a fall raises concern for intracranial hemorrhage, particularly if this patient is on anticoagulant or antiplatelet medications. Subdural hematoma (SDH) would be more likely than epidural or subarachnoid hematoma (SAH) given the duration of days without progression. While nausea and vomiting are nonspecific, persistent vomiting may indicate increased intracranial pressure (eg, from an intracranial mass or SDH), particularly if provoked by positional changes. Without a history of fever or neck stiffness, meningitis is less likely unless the patient has a history of immunosuppression. Secondary causes of headache include vascular etiologies (eg, hemorrhagic cerebrovascular accident [CVA], arterial dissection, aneurysm, vasculitis), systemic causes (eg, chronic hypoxia/hypercapnia, hypertension), or medication overuse or withdrawal. In this patient, traumatic head injury with resultant postconcussive symptoms, though a diagnosis of exclusion, should also be considered. If the patient has a history of migraines, it is essential to obtain a history of typical migraine symptoms. More information regarding the mechanism of the fall is also essential to help elucidate a potential cause.

The patient had a 1-year history of recurrent loss of consciousness resulting in falls. After each fall, he quickly regained consciousness and exhibited no residual deficits or confusion. These episodes occurred suddenly when the patient was performing normal daily activities such as walking, driving, doing light chores, and standing up from a seated position. Immediately before this most recent fall, the patient stood up from a chair, walked toward the bathroom and, without any warning signs, lost consciousness. He denied dizziness, lightheadedness, nausea, or diaphoresis immediately before or after the fall. He also reported experiencing intermittent palpitations, but these did not appear to be related to the syncopal episodes. He denied experiencing chest pain, shortness of breath, or seizures.

The differential diagnosis for syncope is broad; therefore, it is important to identify features that suggest an etiology requiring urgent management. In this patient, cardiac etiologies such as arrhythmia (eg, atrial fibrillation [AF], ventricular tachycardia, heart block), ischemia, heart failure, and structural heart disease (eg, valvular abnormalities, cardiomyopathies) must be considered. His complaints of intermittent palpitations could suggest arrhythmia; however, the absence of a correlation to the syncopal episodes and other associated cardiac symptoms makes arrhythmias such as AF less likely. Medication side effects provoking cardiac conduction disturbances, heart block, or hypotension should be considered. Ischemic heart disease and heart failure are possible causes despite the absence of chest pain and dyspnea. While the exertional nature of the patient’s symptoms could support cardiac etiologies, it could also be indicative of recurrent pulmonary embolism  or right ventricular dysfunction/strain, such as chronic thromboembolic pulmonary hypertension (CTEPH).

Neurologic causes of syncope should also be included in the differential diagnosis. Seizure is less likely the underlying cause in this case since the patient regained consciousness quickly after each episode and reported no residual deficits, confusion, incontinence, or oral trauma. While less likely, other neurovascular causes can be considered, including transient ischemic attack (TIA), CVA, SAH, or vertebrobasilar insufficiency.

Neurocardiogenic syncope is less likely due to lack of a clear trigger or classical prodromal symptoms. Without a history of volume loss, orthostatic syncope is also unlikely. Other possibilities include adrenal insufficiency or an autonomic dysfunction resulting from diabetic neuropathy, chronic kidney disease, amyloidosis, spinal cord injury, or neurologic diseases (eg, Parkinson disease, Lewy body dementia). Thus far, the provided history is not suggestive of these etiologies. Other causes for loss of consciousness include hypoglycemia, sleep disorders (eg, narcolepsy), or psychiatric causes.

About 10 months prior to this presentation, the patient had presented to the hospital for evaluation of headache and was found to have bilateral SDH requiring burr hole evacuation. At that time, he was on anticoagulation therapy for a history of left superficial femoral vein thrombosis with negative workup for hypercoagulability. Warfarin was discontinued after the SDH was diagnosed. Regarding the patient’s social history, although he reported drinking two glasses of wine with dinner each night and smoking marijuana afterward, all syncopal events occurred during the daytime.

The history of prior SDH should raise suspicion for recurrent SDH, particularly considering the patient’s ongoing alcohol use. History of deep vein thrombosis (DVT) and possible exertional syncope might suggest recurrent pulmonary embolism or CTEPH as an etiology. DVT and TIA/CVA secondary to paradoxical embolism are also possible. Depending on extent of alcohol use, intoxication and cardiomyopathy with secondary arrhythmias are possibilities.

The basic workup should focus on identifying any acute intracranial processes that may explain the patient’s presentation and evaluating for syncope. This includes a complete blood count with differential, electrolytes, hepatic panel (based on patient’s history of alcohol use), and coagulation studies. Troponins and B-type natriuretic peptide would help assess for cardiac disease, and a urine/serum drug test would be beneficial to screen for substance use. Considering the patient’s prior history of SDH, head imaging should be obtained. If the patient were to exhibit focal neurologic deficits or persistent alterations in consciousness (thereby raising the index of suspicion for TIA or CVA), perfusion/diffusion-weighted magnetic resonance imaging (MRI) studies should be obtained. If obtaining a brain MRI is not practical, then a computed tomography angiogram (CTA) of the head and neck should be obtained. A noncontrast head CT would be sufficient to reveal the presence of SDH. An electroencephalogram (EEG) to assess for seizure should be performed if the patient is noted to have any focal neurologic findings or complaints consistent with seizure. With possible exertional syncope, an electrocardiogram (ECG) and transthoracic echocardiogram (with bubble study to assess for patent foramen ovale) should be obtained urgently.

The patient had a history of hypertension and irritable bowel syndrome, for which he took metoprolol and duloxetine, respectively. Eight months prior to the current ED presentation, he was admitted to the hospital for a syncope workup after falling and sustaining a fractured jaw and torn rotator cuff. ECG and continuous telemetry monitoring showed normal sinus rhythm, normal intervals, and rare episodes of sinus tachycardia, but no evidence of arrhythmia. An echocardiogram demonstrated normal ejection fraction and chamber sizes; CT and MRI of the brain showed no residual SDH; and EEG monitoring showed no seizure activity. It was determined that the patient’s syncopal episodes were multifactorial; possible etiologies included episodic hypotension from irritable bowel syndrome—related diarrhea, paroxysmal arrhythmias, and ongoing substance use.

The patient was discharged home with a 14-day Holter monitor. Rare episodes of AF (total burden 0.4%) were detected, and dronedarone was prescribed for rhythm control; he remained off anticoagulation therapy due to the history of SDH. Over the next few months, cardiology, electrophysiology, and neurology consultants concluded that paroxysmal AF was the likely etiology of the patient’s syncopal episodes. The patient was considered high risk for CVA, but the risk of bleeding from syncope-related falls was too high to resume anticoagulation therapy.

One month prior to the current ED presentation, the patient underwent a left atrial appendage closure with a WATCHMAN implant to avoid long-term anticoagulation. After the procedure, he was started on warfarin with plans to permanently discontinue anticoagulation after 6 to 8 weeks of completed therapy. He had been on warfarin for 3 weeks prior the most recent fall and current ED visit.At the time of this presentation, the patient was on dronedarone, duloxetine, metoprolol, and warfarin. On exam, he was alert and in no distress. His temperature was 36.8 °C, heart rate 98 beats per minute , blood pressure (BP) 110/75 mm Hg (with no orthostatic changes), respiratory rate 18 breaths per minute, and oxygen saturation 95% on room air. He had a regular heart rate and rhythm, clear lung fields, and a benign abdominal exam. He was oriented to time, place, and person. His pupils were equal in size and reactive to light, and sensation and strength were equal bilaterally with no focal neurologic deficits. His neck was supple, and head movements did not cause any symptoms. His musculoskeletal exam was notable for right supraspinatus weakness upon abduction of arm to 90° and a positive impingement sign. ECG showed normal sinus rhythm with normal intervals. Laboratory findings were notable only for an international normalized ratio of 4.9. CT of the head did not show any pathology. The patient was admitted to the medicine floor for further evaluation.

At this point in his clinical course, the patient has had a thorough workup—one that has largely been unrevealing aside from paroxysmal AF. With his current presentation, acute intracranial causes remain on the differential, but the normal CT scan essentially excludes hemorrhage or mass. Although previous MRI studies have been negative and no focal neurologic findings have been described throughout his course, given the patient’s repeated presentations for syncope, intracranial vessel imaging should be obtained to exclude anatomical abnormalities or focal stenosis that could cause recurrent TIAs.

Seizure is also a consideration, but prior EEG and normal neurologic exam makes this less likely. While cardiac workup for syncope has been reassuring, the patient’s history of AF should continue to remain a consideration even though this is less likely the underlying cause since he is now taking dronedarone. He should be placed on telemetry upon admission. While negative orthostatic vital signs make orthostatic syncope less likely, this could be confounded by use of beta-blockers. Overall, the patient’s case remains a challenging one, with the etiology of his syncope remaining unclear at this time.

During this hospitalization, possible etiologies for recurrent syncope and falls were reviewed. The burden of verifiable AF was too low to explain the patient’s recurrent syncopal episodes. Further review of his medical record revealed that a carotid ultrasound was obtained a year earlier in the course of a previous hospitalization. The ultrasound report described patent carotid arteries and retrograde flow in the left vertebral artery consistent with ipsilateral subclavian stenosis. At the time, the ultrasound was interpreted as reassuring based on the lack of significant carotid stenosis; the findings were thought to be unrelated to the patient’s syncopal episodes. On further questioning, the patient noted that minimal exertion such as unloading a few items from the dishwasher caused left arm pain and paresthesia, accompanied by headache and lightheadedness. He also reported using his left arm more frequently following a right shoulder injury. Repeat physical exam found an inter-arm systolic BP difference (IASBPD) >40 mm Hg and left-arm claudication. CT-angiogram of the neck was obtained and showed total occlusion of the left proximal subclavian artery, patent bilateral internal carotid arteries, and retrograde flow in the left vertebral artery (Figure 1).

Computed Tomography Angiography of the Patient’s Neck

Subclavian steal syndrome (SSS) results from compromised flow to the distal arm or brainstem circulation due to a proximal subclavian artery occlusion or stenosis (prior to the origin of the vertebral artery).1,2 Subclavian stenosis may cause lowered pressure in the distal subclavian artery, creating a gradient for blood flow from the contralateral vertebral artery through the basilar artery to the ipsilateral vertebral artery, ultimately supplying blood flow to the affected subclavian artery distal to the occlusion (subclavian steal phenomenon). Flow reversal in the vertebrobasilar system can result in hypoperfusion of the brainstem (ie, vertebrobasilar insufficiency), which can cause a variety of neurologic symptoms, including SSS. While atherosclerosis is the most common cause of subclavian steal, it may be due to other conditions (eg, Takayasu arteritis, thoracic outlet syndrome, congenital heart disease).

Clinically, although many patients with proximal subclavian stenosis are asymptomatic (even in cases wherein angiographic flow reversal is detected), it is critical that clinicians be familiar with common symptoms associated with the diagnosis. Symptoms may include arm claudication related to hypoperfusion of the extremity, particularly when performing activities, as was observed in this patient. Neurologic symptoms are less common but include symptoms consistent with compromised posterior circulation such as dizziness, vertigo, ataxia, diplopia, nystagmus, impaired vision (blurring of vision, hemianopia), otologic symptoms (tinnitus, hearing loss), and/or syncope (ie, “drop attacks”). The patient’s initial complaints of sudden syncope are consistent with this presentation, as are his history of headache and lightheadedness upon use of his left arm.

Diagnostically, a gradient in upper extremity BP >15 mm Hg (as seen in this patient) or findings of arterial insufficiency would suggest subclavian stenosis. Duplex ultrasound is a reliable imaging modality and can demonstrate proximal subclavian stenosis (sensitivity of 90.9% and specificity of 82.5% for predicting >70% of stenosis cases) and ipsilateral vertebral artery flow reversal.1 Transcranial Doppler studies can be obtained to assess for basilar artery flow reversal as well. CTA/MRA can help delineate location, severity, and cause of stenosis. However, detection of vertebral or basilar artery flow reversal does not always correlate with the development of neurologic symptoms.

For patients with asymptomatic subclavian stenosis, medical management with aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, and statins should be considered given the high likelihood for other atherosclerotic disease. Management of SSS may include percutaneous/surgical intervention in combination with medical therapy, particularly for patients with severe symptomatic disease (arm claudication, posterior circulation deficits, or coronary ischemia in patients with history of coronary bypass utilizing the left internal mammary artery).

The patient was diagnosed with SSS. Cardiovascular medicine and vascular surgery services were asked to evaluate the patient for a revascularization procedure. Because the patient’s anterior circulation was intact, several specialists remained skeptical of SSS as the cause of his syncope. As such, further evaluation for arrhythmia was recommended. The patient’s arm claudication was thought to be due to SSS; however, the well-established retrograde flow via the vertebral artery made a revascularization procedure nonurgent. Moreover, continuation of warfarin was necessary in the setting of his recent left atrial appendage closure and prior history of DVT. It was determined that the risks of discontinuing anticoagulation in order to surgically treat his subclavian stenosis outweighed the benefits. In the meantime, brachial-radial index measurement and a 30-day event monitor were ordered to further assess for arrhythmias. The patient reported being overwhelmed by diagnostic testing without resolution of his syncopal episodes and missed some of his scheduled appointments. One month later, he fell again and sustained vertebral fractures at C1, C4, and L1, and a subsequent SDH requiring craniotomy with a bone flap followed by clot evacuation. The 30-day event monitor report did not reveal any arrhythmias before, during, or after multiple syncopal events that occurred in the period leading up to this fall. The patient later died in a neurology intensive care unit.

DISCUSSION

SSS often stems from atherosclerotic arterial disease that leads to stenosis or occlusion of the proximal subclavian artery, causing decreased pressure distal to the lesion. The left subclavian artery is affected more often than the right because of its acute angle of origin, which presumably causes turbulence and predisposes to atherosclerosis.3 Compromised blood flow to the arm causes exertional arm claudication and paresthesia. The compensatory retrograde flow in the ipsilateral vertebral artery causes symptoms of vertebrobasilar insufficiency such as dizziness, vertigo, and syncope (Figure 2). This conglomerate of symptoms from subclavian steal, by definition, comprises SSS. The most remarkable signs of SSS are IASBPD >20 mm Hg and, less commonly, reproducible arm claudication.

Left Subclavian Stenosis

Diagnosis of SSS requires a careful correlation of clinical history, physical examination, and radiologic findings. Over 80% of patients with subclavian disease have concomitant lesions (eg, in carotid arteries) that can affect collateral circulation.4 While symptoms of SSS may vary depending on the adequacy of collaterals, patent anterior circulation does not, by default, prevent SSS in patients with subclavian stenosis.3 In one study, neurologic symptoms were found in 36% of individuals with subclavian stenosis and concomitant carotid atherosclerotic lesions, and in only 5% in patients without carotid lesions.5

A key step in diagnosis is measurement of bilateral arm BP as elevated IASBPDs are highly sensitive for subclavian steal. More than 80% of patients with IASBPD >20 mm Hg have evidence of this condition on Doppler ultrasound.3 Higher differentials in BP correlate with occurrence of symptoms (~30% of patients with IASBPD 40-50 mm Hg, and ~40% of those with IASBPD >50 mm Hg).6

The severity of subclavian stenosis is traditionally classified by imaging into three separate grades or stages based on the direction of blood flow in vertebral arteries. Grade I involves no retrograde flow; grade II involves cardiac cycle dependent alternating antegrade and retrograde flow; and grade III involves permanent retrograde flow (complete steal).7 Our patient’s care was impacted by an unsupported conventional belief that grade II SSS may involve more hemodynamic instability and produce more severe symptoms compared to permanent retrograde flow (grade III), which would result in more stability with a reset of hemodynamics in posterior circulation.7 This hypothesis has been disproven in the past, and our patient’s tragic outcome also demonstrates that complete steal is not harmless.8 Our patient had permanent retrograde flow in the left vertebral artery, and he suffered classic symptoms of SSS, with devastating consequences. Moreover, increased demand or exertion can enhance the retrograde flow even in grade III stenosis and can precipitate neurologic symptoms of SSS, including syncope. This case provides an important lesson: Management of patients with SSS should depend on the severity of symptoms, not solely on radiologic grading.

Management of SSS is often medical for atherosclerosis and hypertension, especially if symptoms are mild and infrequent. Less than 10% patients with radiologic evidence of subclavian stenosis are symptomatic, and <20% patients with symptomatic SSS require revascularization.3 Percutaneous transluminal angioplasty (PTA) and stenting have become the most favored surgical approach rather than extra-anatomic revascularization techniques.7 Both endovascular interventions and open revascularization carry an excellent success rate with low morbidity. Patients undergoing PTA have a combined rate of 3.6% for CVA and death9 and a 5-year primary patency rate10 of 82%. Bypass surgery appears similarly well tolerated, with low perioperative CVA/mortality, and a 10-year primary patency rate of 92%.11 For patients with SSS and coexisting disease in the anterior circulation, carotid endarterectomy is prioritized over subclavian revascularization as repair of the anterior circulation often resolves symptoms of SSS.12

In our patient, SSS presented with classic vertebrobasilar and brachial symptoms, but several features of his presentation made the diagnosis a challenge. First, his history suggested several potential causes of syncope, including arrhythmia, orthostatic hypotension, and substance use. Second, he reported arm paresthesia and claudication only when specifically prompted and after a targeted history was obtained. Third, there were no consistent triggers for his syncopal episodes. The patient noted that he lost consciousness when walking, driving, doing light chores, and arising from a seated position. These atypical triggers of syncope were not consistent with any of the illnesses considered during the initial workup, and therefore resulted in a broad differential, delaying the targeted workup for SSS. The wisdom of parsimony may also have played an unintended role: In clinical practice, common things are common, and explanation of most or all symptoms with a known diagnosis is often correct rather than addition of uncommon disorders.

Unfortunately, this patient kept falling through the cracks. Several providers believed that AF and alcohol use were the likely causes of his syncope. This assumption enabled a less than rigorous appraisal of the critical ultrasound report. If SSS had been on the differential, assessing the patient for the associated signs and symptoms might have led to an earlier diagnosis.

KEY TEACHING POINTS

  • SSS should be included in the differential diagnosis of patients with syncope, especially when common diagnoses have been ruled out.
  • Incidentally detected retrograde vertebral flow on ultrasound should never be dismissed, and the patients should be assessed for signs and symptoms of subclavian steal.
  • A difference in inter-arm systolic blood pressure >20 mm Hg is highly suggestive of subclavian stenosis.
  • SSS has excellent prognosis with appropriate medical treatment or revascularization.
References

1. Mousa AY, Morkous R, Broce M, et al. Validation of subclavian duplex velocity criteria to grade severity of subclavian artery stenosis. J Vasc Surg. 2017;65(6):1779-1785. https://doi.org/10.1016/j.jvs.2016.12.098
2. Potter BJ, Pinto DS. Subclavian steal syndrome. Circulation. 2014;129(22):2320-2323. https://doi.org/10.1161/circulationaha.113.006653
3. Labropoulos N, Nandivada P, Bekelis K. Prevalence and impact of the subclavian steal syndrome. Ann Surg. 2010;252(1):166-170. https://doi.org/10.1097/sla.0b013e3181e3375a
4. Fields WS, Lemak NA. Joint study of extracranial arterial occlusion. VII. Subclavian steal--a review of 168 cases. JAMA. 1972;222(9):1139-1143. https://doi.org/10.1001/jama.1972.03210090019004
5. Hennerici M, Klemm C, Rautenberg W. The subclavian steal phenomenon: a common vascular disorder with rare neurologic deficits. Neurology. 1988;38(5): 669-673. https://doi.org/10.1212/wnl.38.5.669
6. Clark CE, Taylor RS, Shore AC, Ukoumunne OC, Campbell JL. Association of a difference in systolic blood pressure between arms with vascular disease and mortality: a systematic review and meta-analysis. Lancet. 2012;379(9819):905-914. https://doi.org/10.1016/s0140-6736(11)61710-8
7. Osiro S, Zurada A, Gielecki J, Shoja MM, Tubbs RS, Loukas M. A review of subclavian steal syndrome with clinical correlation. Med Sci Monit. 2012;18(5):RA57-RA63. https://doi.org/10.12659/msm.882721
8. Thomassen L, Aarli JA. Subclavian steal phenomenon. Clinical and hemodynamic aspects. Acta Neurol Scand. 1994;90(4):241-244. https://doi.org/10.1111/j.1600-0404.1994.tb02714.x
9. De Vries JP, Jager LC, Van den Berg JC, et al. Durability of percutaneous transluminal angioplasty for obstructive lesions of proximal subclavian artery: long-term results. J Vasc Surg. 2005;41(1):19-23. https://doi.org/10.1016/j.jvs.2004.09.030
10. Wang KQ, Wang ZG, Yang BZ, et al. Long-term results of endovascular therapy for proximal subclavian arterial obstructive lesions. Chin Med J (Engl). 2010;123(1):45-50. https://doi.org/10.3760/cma.j.issn.0366-6999.2010.01.008
11. AbuRahma AF, Robinson PA, Jennings TG. Carotid-subclavian bypass grafting with polytetrafluoroethylene grafts for symptomatic subclavian artery stenosis or occlusion: a 20-year experience. J Vasc Surg. 2000;32(3):411-418; discussion 418-419. https://doi.org/10.1067/mva.2000.108644
12. Smith JM, Koury HI, Hafner CD, Welling RE. Subclavian steal syndrome. A review of 59 consecutive cases. J Cardiovasc Surg (Torino). 1994;35(1):11-14.

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A 61-year-old man presented to the emergency department (ED) for persistent headache that began after he fell in his bathroom 4 days earlier. He described the headache as generalized and constant, rating the severity as a 5 on a scale of 0 to 10. The patient denied any associated neck pain or changes in headache quality with position change. He reported a 3-day history of nausea and four episodes of vomiting.

Headache after a fall raises concern for intracranial hemorrhage, particularly if this patient is on anticoagulant or antiplatelet medications. Subdural hematoma (SDH) would be more likely than epidural or subarachnoid hematoma (SAH) given the duration of days without progression. While nausea and vomiting are nonspecific, persistent vomiting may indicate increased intracranial pressure (eg, from an intracranial mass or SDH), particularly if provoked by positional changes. Without a history of fever or neck stiffness, meningitis is less likely unless the patient has a history of immunosuppression. Secondary causes of headache include vascular etiologies (eg, hemorrhagic cerebrovascular accident [CVA], arterial dissection, aneurysm, vasculitis), systemic causes (eg, chronic hypoxia/hypercapnia, hypertension), or medication overuse or withdrawal. In this patient, traumatic head injury with resultant postconcussive symptoms, though a diagnosis of exclusion, should also be considered. If the patient has a history of migraines, it is essential to obtain a history of typical migraine symptoms. More information regarding the mechanism of the fall is also essential to help elucidate a potential cause.

The patient had a 1-year history of recurrent loss of consciousness resulting in falls. After each fall, he quickly regained consciousness and exhibited no residual deficits or confusion. These episodes occurred suddenly when the patient was performing normal daily activities such as walking, driving, doing light chores, and standing up from a seated position. Immediately before this most recent fall, the patient stood up from a chair, walked toward the bathroom and, without any warning signs, lost consciousness. He denied dizziness, lightheadedness, nausea, or diaphoresis immediately before or after the fall. He also reported experiencing intermittent palpitations, but these did not appear to be related to the syncopal episodes. He denied experiencing chest pain, shortness of breath, or seizures.

The differential diagnosis for syncope is broad; therefore, it is important to identify features that suggest an etiology requiring urgent management. In this patient, cardiac etiologies such as arrhythmia (eg, atrial fibrillation [AF], ventricular tachycardia, heart block), ischemia, heart failure, and structural heart disease (eg, valvular abnormalities, cardiomyopathies) must be considered. His complaints of intermittent palpitations could suggest arrhythmia; however, the absence of a correlation to the syncopal episodes and other associated cardiac symptoms makes arrhythmias such as AF less likely. Medication side effects provoking cardiac conduction disturbances, heart block, or hypotension should be considered. Ischemic heart disease and heart failure are possible causes despite the absence of chest pain and dyspnea. While the exertional nature of the patient’s symptoms could support cardiac etiologies, it could also be indicative of recurrent pulmonary embolism  or right ventricular dysfunction/strain, such as chronic thromboembolic pulmonary hypertension (CTEPH).

Neurologic causes of syncope should also be included in the differential diagnosis. Seizure is less likely the underlying cause in this case since the patient regained consciousness quickly after each episode and reported no residual deficits, confusion, incontinence, or oral trauma. While less likely, other neurovascular causes can be considered, including transient ischemic attack (TIA), CVA, SAH, or vertebrobasilar insufficiency.

Neurocardiogenic syncope is less likely due to lack of a clear trigger or classical prodromal symptoms. Without a history of volume loss, orthostatic syncope is also unlikely. Other possibilities include adrenal insufficiency or an autonomic dysfunction resulting from diabetic neuropathy, chronic kidney disease, amyloidosis, spinal cord injury, or neurologic diseases (eg, Parkinson disease, Lewy body dementia). Thus far, the provided history is not suggestive of these etiologies. Other causes for loss of consciousness include hypoglycemia, sleep disorders (eg, narcolepsy), or psychiatric causes.

About 10 months prior to this presentation, the patient had presented to the hospital for evaluation of headache and was found to have bilateral SDH requiring burr hole evacuation. At that time, he was on anticoagulation therapy for a history of left superficial femoral vein thrombosis with negative workup for hypercoagulability. Warfarin was discontinued after the SDH was diagnosed. Regarding the patient’s social history, although he reported drinking two glasses of wine with dinner each night and smoking marijuana afterward, all syncopal events occurred during the daytime.

The history of prior SDH should raise suspicion for recurrent SDH, particularly considering the patient’s ongoing alcohol use. History of deep vein thrombosis (DVT) and possible exertional syncope might suggest recurrent pulmonary embolism or CTEPH as an etiology. DVT and TIA/CVA secondary to paradoxical embolism are also possible. Depending on extent of alcohol use, intoxication and cardiomyopathy with secondary arrhythmias are possibilities.

The basic workup should focus on identifying any acute intracranial processes that may explain the patient’s presentation and evaluating for syncope. This includes a complete blood count with differential, electrolytes, hepatic panel (based on patient’s history of alcohol use), and coagulation studies. Troponins and B-type natriuretic peptide would help assess for cardiac disease, and a urine/serum drug test would be beneficial to screen for substance use. Considering the patient’s prior history of SDH, head imaging should be obtained. If the patient were to exhibit focal neurologic deficits or persistent alterations in consciousness (thereby raising the index of suspicion for TIA or CVA), perfusion/diffusion-weighted magnetic resonance imaging (MRI) studies should be obtained. If obtaining a brain MRI is not practical, then a computed tomography angiogram (CTA) of the head and neck should be obtained. A noncontrast head CT would be sufficient to reveal the presence of SDH. An electroencephalogram (EEG) to assess for seizure should be performed if the patient is noted to have any focal neurologic findings or complaints consistent with seizure. With possible exertional syncope, an electrocardiogram (ECG) and transthoracic echocardiogram (with bubble study to assess for patent foramen ovale) should be obtained urgently.

The patient had a history of hypertension and irritable bowel syndrome, for which he took metoprolol and duloxetine, respectively. Eight months prior to the current ED presentation, he was admitted to the hospital for a syncope workup after falling and sustaining a fractured jaw and torn rotator cuff. ECG and continuous telemetry monitoring showed normal sinus rhythm, normal intervals, and rare episodes of sinus tachycardia, but no evidence of arrhythmia. An echocardiogram demonstrated normal ejection fraction and chamber sizes; CT and MRI of the brain showed no residual SDH; and EEG monitoring showed no seizure activity. It was determined that the patient’s syncopal episodes were multifactorial; possible etiologies included episodic hypotension from irritable bowel syndrome—related diarrhea, paroxysmal arrhythmias, and ongoing substance use.

The patient was discharged home with a 14-day Holter monitor. Rare episodes of AF (total burden 0.4%) were detected, and dronedarone was prescribed for rhythm control; he remained off anticoagulation therapy due to the history of SDH. Over the next few months, cardiology, electrophysiology, and neurology consultants concluded that paroxysmal AF was the likely etiology of the patient’s syncopal episodes. The patient was considered high risk for CVA, but the risk of bleeding from syncope-related falls was too high to resume anticoagulation therapy.

One month prior to the current ED presentation, the patient underwent a left atrial appendage closure with a WATCHMAN implant to avoid long-term anticoagulation. After the procedure, he was started on warfarin with plans to permanently discontinue anticoagulation after 6 to 8 weeks of completed therapy. He had been on warfarin for 3 weeks prior the most recent fall and current ED visit.At the time of this presentation, the patient was on dronedarone, duloxetine, metoprolol, and warfarin. On exam, he was alert and in no distress. His temperature was 36.8 °C, heart rate 98 beats per minute , blood pressure (BP) 110/75 mm Hg (with no orthostatic changes), respiratory rate 18 breaths per minute, and oxygen saturation 95% on room air. He had a regular heart rate and rhythm, clear lung fields, and a benign abdominal exam. He was oriented to time, place, and person. His pupils were equal in size and reactive to light, and sensation and strength were equal bilaterally with no focal neurologic deficits. His neck was supple, and head movements did not cause any symptoms. His musculoskeletal exam was notable for right supraspinatus weakness upon abduction of arm to 90° and a positive impingement sign. ECG showed normal sinus rhythm with normal intervals. Laboratory findings were notable only for an international normalized ratio of 4.9. CT of the head did not show any pathology. The patient was admitted to the medicine floor for further evaluation.

At this point in his clinical course, the patient has had a thorough workup—one that has largely been unrevealing aside from paroxysmal AF. With his current presentation, acute intracranial causes remain on the differential, but the normal CT scan essentially excludes hemorrhage or mass. Although previous MRI studies have been negative and no focal neurologic findings have been described throughout his course, given the patient’s repeated presentations for syncope, intracranial vessel imaging should be obtained to exclude anatomical abnormalities or focal stenosis that could cause recurrent TIAs.

Seizure is also a consideration, but prior EEG and normal neurologic exam makes this less likely. While cardiac workup for syncope has been reassuring, the patient’s history of AF should continue to remain a consideration even though this is less likely the underlying cause since he is now taking dronedarone. He should be placed on telemetry upon admission. While negative orthostatic vital signs make orthostatic syncope less likely, this could be confounded by use of beta-blockers. Overall, the patient’s case remains a challenging one, with the etiology of his syncope remaining unclear at this time.

During this hospitalization, possible etiologies for recurrent syncope and falls were reviewed. The burden of verifiable AF was too low to explain the patient’s recurrent syncopal episodes. Further review of his medical record revealed that a carotid ultrasound was obtained a year earlier in the course of a previous hospitalization. The ultrasound report described patent carotid arteries and retrograde flow in the left vertebral artery consistent with ipsilateral subclavian stenosis. At the time, the ultrasound was interpreted as reassuring based on the lack of significant carotid stenosis; the findings were thought to be unrelated to the patient’s syncopal episodes. On further questioning, the patient noted that minimal exertion such as unloading a few items from the dishwasher caused left arm pain and paresthesia, accompanied by headache and lightheadedness. He also reported using his left arm more frequently following a right shoulder injury. Repeat physical exam found an inter-arm systolic BP difference (IASBPD) >40 mm Hg and left-arm claudication. CT-angiogram of the neck was obtained and showed total occlusion of the left proximal subclavian artery, patent bilateral internal carotid arteries, and retrograde flow in the left vertebral artery (Figure 1).

Computed Tomography Angiography of the Patient’s Neck

Subclavian steal syndrome (SSS) results from compromised flow to the distal arm or brainstem circulation due to a proximal subclavian artery occlusion or stenosis (prior to the origin of the vertebral artery).1,2 Subclavian stenosis may cause lowered pressure in the distal subclavian artery, creating a gradient for blood flow from the contralateral vertebral artery through the basilar artery to the ipsilateral vertebral artery, ultimately supplying blood flow to the affected subclavian artery distal to the occlusion (subclavian steal phenomenon). Flow reversal in the vertebrobasilar system can result in hypoperfusion of the brainstem (ie, vertebrobasilar insufficiency), which can cause a variety of neurologic symptoms, including SSS. While atherosclerosis is the most common cause of subclavian steal, it may be due to other conditions (eg, Takayasu arteritis, thoracic outlet syndrome, congenital heart disease).

Clinically, although many patients with proximal subclavian stenosis are asymptomatic (even in cases wherein angiographic flow reversal is detected), it is critical that clinicians be familiar with common symptoms associated with the diagnosis. Symptoms may include arm claudication related to hypoperfusion of the extremity, particularly when performing activities, as was observed in this patient. Neurologic symptoms are less common but include symptoms consistent with compromised posterior circulation such as dizziness, vertigo, ataxia, diplopia, nystagmus, impaired vision (blurring of vision, hemianopia), otologic symptoms (tinnitus, hearing loss), and/or syncope (ie, “drop attacks”). The patient’s initial complaints of sudden syncope are consistent with this presentation, as are his history of headache and lightheadedness upon use of his left arm.

Diagnostically, a gradient in upper extremity BP >15 mm Hg (as seen in this patient) or findings of arterial insufficiency would suggest subclavian stenosis. Duplex ultrasound is a reliable imaging modality and can demonstrate proximal subclavian stenosis (sensitivity of 90.9% and specificity of 82.5% for predicting >70% of stenosis cases) and ipsilateral vertebral artery flow reversal.1 Transcranial Doppler studies can be obtained to assess for basilar artery flow reversal as well. CTA/MRA can help delineate location, severity, and cause of stenosis. However, detection of vertebral or basilar artery flow reversal does not always correlate with the development of neurologic symptoms.

For patients with asymptomatic subclavian stenosis, medical management with aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, and statins should be considered given the high likelihood for other atherosclerotic disease. Management of SSS may include percutaneous/surgical intervention in combination with medical therapy, particularly for patients with severe symptomatic disease (arm claudication, posterior circulation deficits, or coronary ischemia in patients with history of coronary bypass utilizing the left internal mammary artery).

The patient was diagnosed with SSS. Cardiovascular medicine and vascular surgery services were asked to evaluate the patient for a revascularization procedure. Because the patient’s anterior circulation was intact, several specialists remained skeptical of SSS as the cause of his syncope. As such, further evaluation for arrhythmia was recommended. The patient’s arm claudication was thought to be due to SSS; however, the well-established retrograde flow via the vertebral artery made a revascularization procedure nonurgent. Moreover, continuation of warfarin was necessary in the setting of his recent left atrial appendage closure and prior history of DVT. It was determined that the risks of discontinuing anticoagulation in order to surgically treat his subclavian stenosis outweighed the benefits. In the meantime, brachial-radial index measurement and a 30-day event monitor were ordered to further assess for arrhythmias. The patient reported being overwhelmed by diagnostic testing without resolution of his syncopal episodes and missed some of his scheduled appointments. One month later, he fell again and sustained vertebral fractures at C1, C4, and L1, and a subsequent SDH requiring craniotomy with a bone flap followed by clot evacuation. The 30-day event monitor report did not reveal any arrhythmias before, during, or after multiple syncopal events that occurred in the period leading up to this fall. The patient later died in a neurology intensive care unit.

DISCUSSION

SSS often stems from atherosclerotic arterial disease that leads to stenosis or occlusion of the proximal subclavian artery, causing decreased pressure distal to the lesion. The left subclavian artery is affected more often than the right because of its acute angle of origin, which presumably causes turbulence and predisposes to atherosclerosis.3 Compromised blood flow to the arm causes exertional arm claudication and paresthesia. The compensatory retrograde flow in the ipsilateral vertebral artery causes symptoms of vertebrobasilar insufficiency such as dizziness, vertigo, and syncope (Figure 2). This conglomerate of symptoms from subclavian steal, by definition, comprises SSS. The most remarkable signs of SSS are IASBPD >20 mm Hg and, less commonly, reproducible arm claudication.

Left Subclavian Stenosis

Diagnosis of SSS requires a careful correlation of clinical history, physical examination, and radiologic findings. Over 80% of patients with subclavian disease have concomitant lesions (eg, in carotid arteries) that can affect collateral circulation.4 While symptoms of SSS may vary depending on the adequacy of collaterals, patent anterior circulation does not, by default, prevent SSS in patients with subclavian stenosis.3 In one study, neurologic symptoms were found in 36% of individuals with subclavian stenosis and concomitant carotid atherosclerotic lesions, and in only 5% in patients without carotid lesions.5

A key step in diagnosis is measurement of bilateral arm BP as elevated IASBPDs are highly sensitive for subclavian steal. More than 80% of patients with IASBPD >20 mm Hg have evidence of this condition on Doppler ultrasound.3 Higher differentials in BP correlate with occurrence of symptoms (~30% of patients with IASBPD 40-50 mm Hg, and ~40% of those with IASBPD >50 mm Hg).6

The severity of subclavian stenosis is traditionally classified by imaging into three separate grades or stages based on the direction of blood flow in vertebral arteries. Grade I involves no retrograde flow; grade II involves cardiac cycle dependent alternating antegrade and retrograde flow; and grade III involves permanent retrograde flow (complete steal).7 Our patient’s care was impacted by an unsupported conventional belief that grade II SSS may involve more hemodynamic instability and produce more severe symptoms compared to permanent retrograde flow (grade III), which would result in more stability with a reset of hemodynamics in posterior circulation.7 This hypothesis has been disproven in the past, and our patient’s tragic outcome also demonstrates that complete steal is not harmless.8 Our patient had permanent retrograde flow in the left vertebral artery, and he suffered classic symptoms of SSS, with devastating consequences. Moreover, increased demand or exertion can enhance the retrograde flow even in grade III stenosis and can precipitate neurologic symptoms of SSS, including syncope. This case provides an important lesson: Management of patients with SSS should depend on the severity of symptoms, not solely on radiologic grading.

Management of SSS is often medical for atherosclerosis and hypertension, especially if symptoms are mild and infrequent. Less than 10% patients with radiologic evidence of subclavian stenosis are symptomatic, and <20% patients with symptomatic SSS require revascularization.3 Percutaneous transluminal angioplasty (PTA) and stenting have become the most favored surgical approach rather than extra-anatomic revascularization techniques.7 Both endovascular interventions and open revascularization carry an excellent success rate with low morbidity. Patients undergoing PTA have a combined rate of 3.6% for CVA and death9 and a 5-year primary patency rate10 of 82%. Bypass surgery appears similarly well tolerated, with low perioperative CVA/mortality, and a 10-year primary patency rate of 92%.11 For patients with SSS and coexisting disease in the anterior circulation, carotid endarterectomy is prioritized over subclavian revascularization as repair of the anterior circulation often resolves symptoms of SSS.12

In our patient, SSS presented with classic vertebrobasilar and brachial symptoms, but several features of his presentation made the diagnosis a challenge. First, his history suggested several potential causes of syncope, including arrhythmia, orthostatic hypotension, and substance use. Second, he reported arm paresthesia and claudication only when specifically prompted and after a targeted history was obtained. Third, there were no consistent triggers for his syncopal episodes. The patient noted that he lost consciousness when walking, driving, doing light chores, and arising from a seated position. These atypical triggers of syncope were not consistent with any of the illnesses considered during the initial workup, and therefore resulted in a broad differential, delaying the targeted workup for SSS. The wisdom of parsimony may also have played an unintended role: In clinical practice, common things are common, and explanation of most or all symptoms with a known diagnosis is often correct rather than addition of uncommon disorders.

Unfortunately, this patient kept falling through the cracks. Several providers believed that AF and alcohol use were the likely causes of his syncope. This assumption enabled a less than rigorous appraisal of the critical ultrasound report. If SSS had been on the differential, assessing the patient for the associated signs and symptoms might have led to an earlier diagnosis.

KEY TEACHING POINTS

  • SSS should be included in the differential diagnosis of patients with syncope, especially when common diagnoses have been ruled out.
  • Incidentally detected retrograde vertebral flow on ultrasound should never be dismissed, and the patients should be assessed for signs and symptoms of subclavian steal.
  • A difference in inter-arm systolic blood pressure >20 mm Hg is highly suggestive of subclavian stenosis.
  • SSS has excellent prognosis with appropriate medical treatment or revascularization.

A 61-year-old man presented to the emergency department (ED) for persistent headache that began after he fell in his bathroom 4 days earlier. He described the headache as generalized and constant, rating the severity as a 5 on a scale of 0 to 10. The patient denied any associated neck pain or changes in headache quality with position change. He reported a 3-day history of nausea and four episodes of vomiting.

Headache after a fall raises concern for intracranial hemorrhage, particularly if this patient is on anticoagulant or antiplatelet medications. Subdural hematoma (SDH) would be more likely than epidural or subarachnoid hematoma (SAH) given the duration of days without progression. While nausea and vomiting are nonspecific, persistent vomiting may indicate increased intracranial pressure (eg, from an intracranial mass or SDH), particularly if provoked by positional changes. Without a history of fever or neck stiffness, meningitis is less likely unless the patient has a history of immunosuppression. Secondary causes of headache include vascular etiologies (eg, hemorrhagic cerebrovascular accident [CVA], arterial dissection, aneurysm, vasculitis), systemic causes (eg, chronic hypoxia/hypercapnia, hypertension), or medication overuse or withdrawal. In this patient, traumatic head injury with resultant postconcussive symptoms, though a diagnosis of exclusion, should also be considered. If the patient has a history of migraines, it is essential to obtain a history of typical migraine symptoms. More information regarding the mechanism of the fall is also essential to help elucidate a potential cause.

The patient had a 1-year history of recurrent loss of consciousness resulting in falls. After each fall, he quickly regained consciousness and exhibited no residual deficits or confusion. These episodes occurred suddenly when the patient was performing normal daily activities such as walking, driving, doing light chores, and standing up from a seated position. Immediately before this most recent fall, the patient stood up from a chair, walked toward the bathroom and, without any warning signs, lost consciousness. He denied dizziness, lightheadedness, nausea, or diaphoresis immediately before or after the fall. He also reported experiencing intermittent palpitations, but these did not appear to be related to the syncopal episodes. He denied experiencing chest pain, shortness of breath, or seizures.

The differential diagnosis for syncope is broad; therefore, it is important to identify features that suggest an etiology requiring urgent management. In this patient, cardiac etiologies such as arrhythmia (eg, atrial fibrillation [AF], ventricular tachycardia, heart block), ischemia, heart failure, and structural heart disease (eg, valvular abnormalities, cardiomyopathies) must be considered. His complaints of intermittent palpitations could suggest arrhythmia; however, the absence of a correlation to the syncopal episodes and other associated cardiac symptoms makes arrhythmias such as AF less likely. Medication side effects provoking cardiac conduction disturbances, heart block, or hypotension should be considered. Ischemic heart disease and heart failure are possible causes despite the absence of chest pain and dyspnea. While the exertional nature of the patient’s symptoms could support cardiac etiologies, it could also be indicative of recurrent pulmonary embolism  or right ventricular dysfunction/strain, such as chronic thromboembolic pulmonary hypertension (CTEPH).

Neurologic causes of syncope should also be included in the differential diagnosis. Seizure is less likely the underlying cause in this case since the patient regained consciousness quickly after each episode and reported no residual deficits, confusion, incontinence, or oral trauma. While less likely, other neurovascular causes can be considered, including transient ischemic attack (TIA), CVA, SAH, or vertebrobasilar insufficiency.

Neurocardiogenic syncope is less likely due to lack of a clear trigger or classical prodromal symptoms. Without a history of volume loss, orthostatic syncope is also unlikely. Other possibilities include adrenal insufficiency or an autonomic dysfunction resulting from diabetic neuropathy, chronic kidney disease, amyloidosis, spinal cord injury, or neurologic diseases (eg, Parkinson disease, Lewy body dementia). Thus far, the provided history is not suggestive of these etiologies. Other causes for loss of consciousness include hypoglycemia, sleep disorders (eg, narcolepsy), or psychiatric causes.

About 10 months prior to this presentation, the patient had presented to the hospital for evaluation of headache and was found to have bilateral SDH requiring burr hole evacuation. At that time, he was on anticoagulation therapy for a history of left superficial femoral vein thrombosis with negative workup for hypercoagulability. Warfarin was discontinued after the SDH was diagnosed. Regarding the patient’s social history, although he reported drinking two glasses of wine with dinner each night and smoking marijuana afterward, all syncopal events occurred during the daytime.

The history of prior SDH should raise suspicion for recurrent SDH, particularly considering the patient’s ongoing alcohol use. History of deep vein thrombosis (DVT) and possible exertional syncope might suggest recurrent pulmonary embolism or CTEPH as an etiology. DVT and TIA/CVA secondary to paradoxical embolism are also possible. Depending on extent of alcohol use, intoxication and cardiomyopathy with secondary arrhythmias are possibilities.

The basic workup should focus on identifying any acute intracranial processes that may explain the patient’s presentation and evaluating for syncope. This includes a complete blood count with differential, electrolytes, hepatic panel (based on patient’s history of alcohol use), and coagulation studies. Troponins and B-type natriuretic peptide would help assess for cardiac disease, and a urine/serum drug test would be beneficial to screen for substance use. Considering the patient’s prior history of SDH, head imaging should be obtained. If the patient were to exhibit focal neurologic deficits or persistent alterations in consciousness (thereby raising the index of suspicion for TIA or CVA), perfusion/diffusion-weighted magnetic resonance imaging (MRI) studies should be obtained. If obtaining a brain MRI is not practical, then a computed tomography angiogram (CTA) of the head and neck should be obtained. A noncontrast head CT would be sufficient to reveal the presence of SDH. An electroencephalogram (EEG) to assess for seizure should be performed if the patient is noted to have any focal neurologic findings or complaints consistent with seizure. With possible exertional syncope, an electrocardiogram (ECG) and transthoracic echocardiogram (with bubble study to assess for patent foramen ovale) should be obtained urgently.

The patient had a history of hypertension and irritable bowel syndrome, for which he took metoprolol and duloxetine, respectively. Eight months prior to the current ED presentation, he was admitted to the hospital for a syncope workup after falling and sustaining a fractured jaw and torn rotator cuff. ECG and continuous telemetry monitoring showed normal sinus rhythm, normal intervals, and rare episodes of sinus tachycardia, but no evidence of arrhythmia. An echocardiogram demonstrated normal ejection fraction and chamber sizes; CT and MRI of the brain showed no residual SDH; and EEG monitoring showed no seizure activity. It was determined that the patient’s syncopal episodes were multifactorial; possible etiologies included episodic hypotension from irritable bowel syndrome—related diarrhea, paroxysmal arrhythmias, and ongoing substance use.

The patient was discharged home with a 14-day Holter monitor. Rare episodes of AF (total burden 0.4%) were detected, and dronedarone was prescribed for rhythm control; he remained off anticoagulation therapy due to the history of SDH. Over the next few months, cardiology, electrophysiology, and neurology consultants concluded that paroxysmal AF was the likely etiology of the patient’s syncopal episodes. The patient was considered high risk for CVA, but the risk of bleeding from syncope-related falls was too high to resume anticoagulation therapy.

One month prior to the current ED presentation, the patient underwent a left atrial appendage closure with a WATCHMAN implant to avoid long-term anticoagulation. After the procedure, he was started on warfarin with plans to permanently discontinue anticoagulation after 6 to 8 weeks of completed therapy. He had been on warfarin for 3 weeks prior the most recent fall and current ED visit.At the time of this presentation, the patient was on dronedarone, duloxetine, metoprolol, and warfarin. On exam, he was alert and in no distress. His temperature was 36.8 °C, heart rate 98 beats per minute , blood pressure (BP) 110/75 mm Hg (with no orthostatic changes), respiratory rate 18 breaths per minute, and oxygen saturation 95% on room air. He had a regular heart rate and rhythm, clear lung fields, and a benign abdominal exam. He was oriented to time, place, and person. His pupils were equal in size and reactive to light, and sensation and strength were equal bilaterally with no focal neurologic deficits. His neck was supple, and head movements did not cause any symptoms. His musculoskeletal exam was notable for right supraspinatus weakness upon abduction of arm to 90° and a positive impingement sign. ECG showed normal sinus rhythm with normal intervals. Laboratory findings were notable only for an international normalized ratio of 4.9. CT of the head did not show any pathology. The patient was admitted to the medicine floor for further evaluation.

At this point in his clinical course, the patient has had a thorough workup—one that has largely been unrevealing aside from paroxysmal AF. With his current presentation, acute intracranial causes remain on the differential, but the normal CT scan essentially excludes hemorrhage or mass. Although previous MRI studies have been negative and no focal neurologic findings have been described throughout his course, given the patient’s repeated presentations for syncope, intracranial vessel imaging should be obtained to exclude anatomical abnormalities or focal stenosis that could cause recurrent TIAs.

Seizure is also a consideration, but prior EEG and normal neurologic exam makes this less likely. While cardiac workup for syncope has been reassuring, the patient’s history of AF should continue to remain a consideration even though this is less likely the underlying cause since he is now taking dronedarone. He should be placed on telemetry upon admission. While negative orthostatic vital signs make orthostatic syncope less likely, this could be confounded by use of beta-blockers. Overall, the patient’s case remains a challenging one, with the etiology of his syncope remaining unclear at this time.

During this hospitalization, possible etiologies for recurrent syncope and falls were reviewed. The burden of verifiable AF was too low to explain the patient’s recurrent syncopal episodes. Further review of his medical record revealed that a carotid ultrasound was obtained a year earlier in the course of a previous hospitalization. The ultrasound report described patent carotid arteries and retrograde flow in the left vertebral artery consistent with ipsilateral subclavian stenosis. At the time, the ultrasound was interpreted as reassuring based on the lack of significant carotid stenosis; the findings were thought to be unrelated to the patient’s syncopal episodes. On further questioning, the patient noted that minimal exertion such as unloading a few items from the dishwasher caused left arm pain and paresthesia, accompanied by headache and lightheadedness. He also reported using his left arm more frequently following a right shoulder injury. Repeat physical exam found an inter-arm systolic BP difference (IASBPD) >40 mm Hg and left-arm claudication. CT-angiogram of the neck was obtained and showed total occlusion of the left proximal subclavian artery, patent bilateral internal carotid arteries, and retrograde flow in the left vertebral artery (Figure 1).

Computed Tomography Angiography of the Patient’s Neck

Subclavian steal syndrome (SSS) results from compromised flow to the distal arm or brainstem circulation due to a proximal subclavian artery occlusion or stenosis (prior to the origin of the vertebral artery).1,2 Subclavian stenosis may cause lowered pressure in the distal subclavian artery, creating a gradient for blood flow from the contralateral vertebral artery through the basilar artery to the ipsilateral vertebral artery, ultimately supplying blood flow to the affected subclavian artery distal to the occlusion (subclavian steal phenomenon). Flow reversal in the vertebrobasilar system can result in hypoperfusion of the brainstem (ie, vertebrobasilar insufficiency), which can cause a variety of neurologic symptoms, including SSS. While atherosclerosis is the most common cause of subclavian steal, it may be due to other conditions (eg, Takayasu arteritis, thoracic outlet syndrome, congenital heart disease).

Clinically, although many patients with proximal subclavian stenosis are asymptomatic (even in cases wherein angiographic flow reversal is detected), it is critical that clinicians be familiar with common symptoms associated with the diagnosis. Symptoms may include arm claudication related to hypoperfusion of the extremity, particularly when performing activities, as was observed in this patient. Neurologic symptoms are less common but include symptoms consistent with compromised posterior circulation such as dizziness, vertigo, ataxia, diplopia, nystagmus, impaired vision (blurring of vision, hemianopia), otologic symptoms (tinnitus, hearing loss), and/or syncope (ie, “drop attacks”). The patient’s initial complaints of sudden syncope are consistent with this presentation, as are his history of headache and lightheadedness upon use of his left arm.

Diagnostically, a gradient in upper extremity BP >15 mm Hg (as seen in this patient) or findings of arterial insufficiency would suggest subclavian stenosis. Duplex ultrasound is a reliable imaging modality and can demonstrate proximal subclavian stenosis (sensitivity of 90.9% and specificity of 82.5% for predicting >70% of stenosis cases) and ipsilateral vertebral artery flow reversal.1 Transcranial Doppler studies can be obtained to assess for basilar artery flow reversal as well. CTA/MRA can help delineate location, severity, and cause of stenosis. However, detection of vertebral or basilar artery flow reversal does not always correlate with the development of neurologic symptoms.

For patients with asymptomatic subclavian stenosis, medical management with aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, and statins should be considered given the high likelihood for other atherosclerotic disease. Management of SSS may include percutaneous/surgical intervention in combination with medical therapy, particularly for patients with severe symptomatic disease (arm claudication, posterior circulation deficits, or coronary ischemia in patients with history of coronary bypass utilizing the left internal mammary artery).

The patient was diagnosed with SSS. Cardiovascular medicine and vascular surgery services were asked to evaluate the patient for a revascularization procedure. Because the patient’s anterior circulation was intact, several specialists remained skeptical of SSS as the cause of his syncope. As such, further evaluation for arrhythmia was recommended. The patient’s arm claudication was thought to be due to SSS; however, the well-established retrograde flow via the vertebral artery made a revascularization procedure nonurgent. Moreover, continuation of warfarin was necessary in the setting of his recent left atrial appendage closure and prior history of DVT. It was determined that the risks of discontinuing anticoagulation in order to surgically treat his subclavian stenosis outweighed the benefits. In the meantime, brachial-radial index measurement and a 30-day event monitor were ordered to further assess for arrhythmias. The patient reported being overwhelmed by diagnostic testing without resolution of his syncopal episodes and missed some of his scheduled appointments. One month later, he fell again and sustained vertebral fractures at C1, C4, and L1, and a subsequent SDH requiring craniotomy with a bone flap followed by clot evacuation. The 30-day event monitor report did not reveal any arrhythmias before, during, or after multiple syncopal events that occurred in the period leading up to this fall. The patient later died in a neurology intensive care unit.

DISCUSSION

SSS often stems from atherosclerotic arterial disease that leads to stenosis or occlusion of the proximal subclavian artery, causing decreased pressure distal to the lesion. The left subclavian artery is affected more often than the right because of its acute angle of origin, which presumably causes turbulence and predisposes to atherosclerosis.3 Compromised blood flow to the arm causes exertional arm claudication and paresthesia. The compensatory retrograde flow in the ipsilateral vertebral artery causes symptoms of vertebrobasilar insufficiency such as dizziness, vertigo, and syncope (Figure 2). This conglomerate of symptoms from subclavian steal, by definition, comprises SSS. The most remarkable signs of SSS are IASBPD >20 mm Hg and, less commonly, reproducible arm claudication.

Left Subclavian Stenosis

Diagnosis of SSS requires a careful correlation of clinical history, physical examination, and radiologic findings. Over 80% of patients with subclavian disease have concomitant lesions (eg, in carotid arteries) that can affect collateral circulation.4 While symptoms of SSS may vary depending on the adequacy of collaterals, patent anterior circulation does not, by default, prevent SSS in patients with subclavian stenosis.3 In one study, neurologic symptoms were found in 36% of individuals with subclavian stenosis and concomitant carotid atherosclerotic lesions, and in only 5% in patients without carotid lesions.5

A key step in diagnosis is measurement of bilateral arm BP as elevated IASBPDs are highly sensitive for subclavian steal. More than 80% of patients with IASBPD >20 mm Hg have evidence of this condition on Doppler ultrasound.3 Higher differentials in BP correlate with occurrence of symptoms (~30% of patients with IASBPD 40-50 mm Hg, and ~40% of those with IASBPD >50 mm Hg).6

The severity of subclavian stenosis is traditionally classified by imaging into three separate grades or stages based on the direction of blood flow in vertebral arteries. Grade I involves no retrograde flow; grade II involves cardiac cycle dependent alternating antegrade and retrograde flow; and grade III involves permanent retrograde flow (complete steal).7 Our patient’s care was impacted by an unsupported conventional belief that grade II SSS may involve more hemodynamic instability and produce more severe symptoms compared to permanent retrograde flow (grade III), which would result in more stability with a reset of hemodynamics in posterior circulation.7 This hypothesis has been disproven in the past, and our patient’s tragic outcome also demonstrates that complete steal is not harmless.8 Our patient had permanent retrograde flow in the left vertebral artery, and he suffered classic symptoms of SSS, with devastating consequences. Moreover, increased demand or exertion can enhance the retrograde flow even in grade III stenosis and can precipitate neurologic symptoms of SSS, including syncope. This case provides an important lesson: Management of patients with SSS should depend on the severity of symptoms, not solely on radiologic grading.

Management of SSS is often medical for atherosclerosis and hypertension, especially if symptoms are mild and infrequent. Less than 10% patients with radiologic evidence of subclavian stenosis are symptomatic, and <20% patients with symptomatic SSS require revascularization.3 Percutaneous transluminal angioplasty (PTA) and stenting have become the most favored surgical approach rather than extra-anatomic revascularization techniques.7 Both endovascular interventions and open revascularization carry an excellent success rate with low morbidity. Patients undergoing PTA have a combined rate of 3.6% for CVA and death9 and a 5-year primary patency rate10 of 82%. Bypass surgery appears similarly well tolerated, with low perioperative CVA/mortality, and a 10-year primary patency rate of 92%.11 For patients with SSS and coexisting disease in the anterior circulation, carotid endarterectomy is prioritized over subclavian revascularization as repair of the anterior circulation often resolves symptoms of SSS.12

In our patient, SSS presented with classic vertebrobasilar and brachial symptoms, but several features of his presentation made the diagnosis a challenge. First, his history suggested several potential causes of syncope, including arrhythmia, orthostatic hypotension, and substance use. Second, he reported arm paresthesia and claudication only when specifically prompted and after a targeted history was obtained. Third, there were no consistent triggers for his syncopal episodes. The patient noted that he lost consciousness when walking, driving, doing light chores, and arising from a seated position. These atypical triggers of syncope were not consistent with any of the illnesses considered during the initial workup, and therefore resulted in a broad differential, delaying the targeted workup for SSS. The wisdom of parsimony may also have played an unintended role: In clinical practice, common things are common, and explanation of most or all symptoms with a known diagnosis is often correct rather than addition of uncommon disorders.

Unfortunately, this patient kept falling through the cracks. Several providers believed that AF and alcohol use were the likely causes of his syncope. This assumption enabled a less than rigorous appraisal of the critical ultrasound report. If SSS had been on the differential, assessing the patient for the associated signs and symptoms might have led to an earlier diagnosis.

KEY TEACHING POINTS

  • SSS should be included in the differential diagnosis of patients with syncope, especially when common diagnoses have been ruled out.
  • Incidentally detected retrograde vertebral flow on ultrasound should never be dismissed, and the patients should be assessed for signs and symptoms of subclavian steal.
  • A difference in inter-arm systolic blood pressure >20 mm Hg is highly suggestive of subclavian stenosis.
  • SSS has excellent prognosis with appropriate medical treatment or revascularization.
References

1. Mousa AY, Morkous R, Broce M, et al. Validation of subclavian duplex velocity criteria to grade severity of subclavian artery stenosis. J Vasc Surg. 2017;65(6):1779-1785. https://doi.org/10.1016/j.jvs.2016.12.098
2. Potter BJ, Pinto DS. Subclavian steal syndrome. Circulation. 2014;129(22):2320-2323. https://doi.org/10.1161/circulationaha.113.006653
3. Labropoulos N, Nandivada P, Bekelis K. Prevalence and impact of the subclavian steal syndrome. Ann Surg. 2010;252(1):166-170. https://doi.org/10.1097/sla.0b013e3181e3375a
4. Fields WS, Lemak NA. Joint study of extracranial arterial occlusion. VII. Subclavian steal--a review of 168 cases. JAMA. 1972;222(9):1139-1143. https://doi.org/10.1001/jama.1972.03210090019004
5. Hennerici M, Klemm C, Rautenberg W. The subclavian steal phenomenon: a common vascular disorder with rare neurologic deficits. Neurology. 1988;38(5): 669-673. https://doi.org/10.1212/wnl.38.5.669
6. Clark CE, Taylor RS, Shore AC, Ukoumunne OC, Campbell JL. Association of a difference in systolic blood pressure between arms with vascular disease and mortality: a systematic review and meta-analysis. Lancet. 2012;379(9819):905-914. https://doi.org/10.1016/s0140-6736(11)61710-8
7. Osiro S, Zurada A, Gielecki J, Shoja MM, Tubbs RS, Loukas M. A review of subclavian steal syndrome with clinical correlation. Med Sci Monit. 2012;18(5):RA57-RA63. https://doi.org/10.12659/msm.882721
8. Thomassen L, Aarli JA. Subclavian steal phenomenon. Clinical and hemodynamic aspects. Acta Neurol Scand. 1994;90(4):241-244. https://doi.org/10.1111/j.1600-0404.1994.tb02714.x
9. De Vries JP, Jager LC, Van den Berg JC, et al. Durability of percutaneous transluminal angioplasty for obstructive lesions of proximal subclavian artery: long-term results. J Vasc Surg. 2005;41(1):19-23. https://doi.org/10.1016/j.jvs.2004.09.030
10. Wang KQ, Wang ZG, Yang BZ, et al. Long-term results of endovascular therapy for proximal subclavian arterial obstructive lesions. Chin Med J (Engl). 2010;123(1):45-50. https://doi.org/10.3760/cma.j.issn.0366-6999.2010.01.008
11. AbuRahma AF, Robinson PA, Jennings TG. Carotid-subclavian bypass grafting with polytetrafluoroethylene grafts for symptomatic subclavian artery stenosis or occlusion: a 20-year experience. J Vasc Surg. 2000;32(3):411-418; discussion 418-419. https://doi.org/10.1067/mva.2000.108644
12. Smith JM, Koury HI, Hafner CD, Welling RE. Subclavian steal syndrome. A review of 59 consecutive cases. J Cardiovasc Surg (Torino). 1994;35(1):11-14.

References

1. Mousa AY, Morkous R, Broce M, et al. Validation of subclavian duplex velocity criteria to grade severity of subclavian artery stenosis. J Vasc Surg. 2017;65(6):1779-1785. https://doi.org/10.1016/j.jvs.2016.12.098
2. Potter BJ, Pinto DS. Subclavian steal syndrome. Circulation. 2014;129(22):2320-2323. https://doi.org/10.1161/circulationaha.113.006653
3. Labropoulos N, Nandivada P, Bekelis K. Prevalence and impact of the subclavian steal syndrome. Ann Surg. 2010;252(1):166-170. https://doi.org/10.1097/sla.0b013e3181e3375a
4. Fields WS, Lemak NA. Joint study of extracranial arterial occlusion. VII. Subclavian steal--a review of 168 cases. JAMA. 1972;222(9):1139-1143. https://doi.org/10.1001/jama.1972.03210090019004
5. Hennerici M, Klemm C, Rautenberg W. The subclavian steal phenomenon: a common vascular disorder with rare neurologic deficits. Neurology. 1988;38(5): 669-673. https://doi.org/10.1212/wnl.38.5.669
6. Clark CE, Taylor RS, Shore AC, Ukoumunne OC, Campbell JL. Association of a difference in systolic blood pressure between arms with vascular disease and mortality: a systematic review and meta-analysis. Lancet. 2012;379(9819):905-914. https://doi.org/10.1016/s0140-6736(11)61710-8
7. Osiro S, Zurada A, Gielecki J, Shoja MM, Tubbs RS, Loukas M. A review of subclavian steal syndrome with clinical correlation. Med Sci Monit. 2012;18(5):RA57-RA63. https://doi.org/10.12659/msm.882721
8. Thomassen L, Aarli JA. Subclavian steal phenomenon. Clinical and hemodynamic aspects. Acta Neurol Scand. 1994;90(4):241-244. https://doi.org/10.1111/j.1600-0404.1994.tb02714.x
9. De Vries JP, Jager LC, Van den Berg JC, et al. Durability of percutaneous transluminal angioplasty for obstructive lesions of proximal subclavian artery: long-term results. J Vasc Surg. 2005;41(1):19-23. https://doi.org/10.1016/j.jvs.2004.09.030
10. Wang KQ, Wang ZG, Yang BZ, et al. Long-term results of endovascular therapy for proximal subclavian arterial obstructive lesions. Chin Med J (Engl). 2010;123(1):45-50. https://doi.org/10.3760/cma.j.issn.0366-6999.2010.01.008
11. AbuRahma AF, Robinson PA, Jennings TG. Carotid-subclavian bypass grafting with polytetrafluoroethylene grafts for symptomatic subclavian artery stenosis or occlusion: a 20-year experience. J Vasc Surg. 2000;32(3):411-418; discussion 418-419. https://doi.org/10.1067/mva.2000.108644
12. Smith JM, Koury HI, Hafner CD, Welling RE. Subclavian steal syndrome. A review of 59 consecutive cases. J Cardiovasc Surg (Torino). 1994;35(1):11-14.

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This icon represents the patient’s case. Each paragraph that follows represents the discussant’s thoughts.

A 56-year-old-woman with a history of HIV and locally invasive ductal carcinoma recently treated with mastectomy and adjuvant doxorubicin and cyclophosphamide, now on paclitaxel, was transferred from another hospital with worsening nausea, epigastric pain, and dyspnea. She had been admitted multiple times to both this hospital and another hospital and had extensive workup over the previous 2 months for gastrointestinal (GI) bleeding and progressive dyspnea with orthopnea and paroxysmal nocturnal dyspnea in the setting of a documented 43-lb weight loss.

The patient presents with two clusters of symptoms in the context of chemotherapy regimens following mastectomy for local breast cancer. The first cluster of nausea, epigastric pain, and weight loss indicates upper-GI dysfunction/pathology, such as gastroparesis from paclitaxel-induced autonomic neuropathy given onset of symptoms following paclitaxel chemotherapy. The pretest probability of this is fairly high; however, in light of the GI bleeding, it is prudent to evaluate for other etiologies. The absence of vomiting does not exclude gastroparesis. Other considerations would be peptic ulcer disease or, less likely, the development of a gastric malignancy. A mechanical cause of gastric outlet obstruction from her known cancer is unlikely in this patient with localized breast cancer and recently completed chemotherapy, as breast cancer is unlikely to metastasize to the stomach. Preliminary workup would consist of computed tomography (CT) scan of the abdomen and an esophagogastroduodenoscopy (EGD) to further evaluate these etiologies. The second cluster of dyspnea, paroxysmal nocturnal dyspnea, and orthopnea suggests heart failure, given recent treatment with doxorubicin, and prompts consideration of anthracycline-induced cardiomyopathy. Work-up would include obtaining a transthoracic echocardiogram (TTE) to look for a decrease in her ejection fraction.

Her past medical history was otherwise significant only for the events of the previous few months. Eight months earlier, she was diagnosed with grade 3 triple-negative (estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2) invasive ductal carcinoma and underwent mastectomy with negative sentinel lymph node biopsy. She completed four cycles of adjuvant doxorubicin and cyclophosphamide and most recently completed cycle three of paclitaxel chemotherapy.

Her HIV disease was controlled with an antiretroviral regimen of dolutegravir/rilpivirine. She had an undetectable viral load for 20 years (CD4, 239 cells/μL 2 weeks prior to transfer).

Her social history included a 1-pack-year smoking history. She denied alcohol or illicit drug use. Family history included pancreatic cancer in her father and endometrial cancer in her paternal grandmother. She was originally from Mexico but moved to Illinois 27 years earlier.

Work-up for her dyspnea was initiated 7 weeks earlier: noncontrast CT of the chest showed extensive diffuse interstitial thickening and ground-glass opacities bilaterally. Bronchoscopy showed no gross abnormalities, and bronchial washings were negative for bacteria, fungi, Pneumocystis jirovecii , acid-fast bacilli, and cancer. She also had a TTE, which showed an ejection fraction of 65% to 70% and was only significant for a pulmonary artery systolic pressure of 45 mm Hg . She was diagnosed with paclitaxel-induced pneumonitis and was discharged home with prednisone 50 mg daily, dapsone, pantoprazole, and 2 L oxygen via nasal cannula.

Two weeks later, she was admitted for coffee-ground emesis and epigastric pain. Her hemoglobin was 5.9 g/dL, for which she was transfused 3 units of packed red blood cells. EGD showed bleeding from diffuse duodenitis, which was treated with argon plasma coagulation. She was also found to have bilateral pulmonary emboli and lower-extremity deep venous thromboses. An inferior vena cava filter was placed, and she was discharged. One week later, she was readmitted with melena, and repeat EGD showed multiple duodenal ulcers with no active bleeding. Colonoscopy was normal. She was continued on prednisone 40 mg daily, as any attempts at tapering the dose resulted in hypotension.

At the time of transfer, she had presented to the outside hospital with worsening nausea and epigastric pain, increasing postprandial abdominal pain, ongoing weight loss, worsening dyspnea on exertion, paroxysmal nocturnal dyspnea, and orthopnea. She denied symptoms of GI bleeding at that time.

Her imaging is consistent with, albeit not specific for, paclitaxel-induced acute pneumonitis. Her persistent dyspnea may be due to worsening of this pneumonitis. Given her GI bleeding and continued epigastric pain, worsening peptic ulcer disease is the likely culprit. The patient has had multiple episodes of bleeding from multiple duodenal ulcers while on proton pump inhibitors, so we should consider reasons for this progression, such as use of nonsteroidal anti-inflammatory drugs (NSAIDs); Helicobacter pylori, herpes simplex virus (HSV), Epstein-Barr virus (EBV), or cytomegalovirus (CMV) infection; Crohn disease, and antral G-cell hyperfunction, as well as lymphoproliferative disease. I would start with histopathology, urease testing, and viral cultures from biopsy specimens at EGD to help eliminate these possibilities for progression of her peptic ulcer disease. Another consideration, albeit rare for progression of peptic ulcer disease and specifically duodenal ulcers, is a gastrinoma-driven acid hypersecretion state, as in the Zollinger-Ellison syndrome. If the above studies do not reveal a cause for her continued peptic ulcer disease, I would check a fasting serum gastrin level and gastric pH to further evaluate this possibility.

Upon arrival on physical exam, her temperature was 35.4° C, heart rate 112 beats per minute, blood pressure 135/96 mm Hg, respiratory rate 34 breaths per minute, and oxygen saturation 97% on room air. She was ill- appearing and in mild respiratory distress with severe muscle wasting. Cervical and supraclavicular lymphadenopathy were not detected. Heart sounds were normal without murmurs. Her jugular venous pressure was approximately 7 cm H2O. She had no lower-extremity edema. On lung exam, diffuse rhonchi were audible bilaterally with no crackles or wheezing. There was no accessory muscle use. No clubbing was present. Her abdomen was soft and mildly tender in the epigastrium with normal bowel sounds.

Her labs revealed a white blood cell (WBC) count of 5,050/μL (neutrophils, 3,600/μL; lymphocytes, 560/μL; eosinophils, 560/μL; hemoglobin, 8.7 g/dL; mean corpuscular volume, 89.3 fL; and platelets, 402,000/μL). Her CD4 count was 235 cells/μL. Her comprehensive metabolic panel demonstrated a sodium of 127 mmol/L; potassium, 4.0 mmol/L; albumin, 2.0 g/dL; calcium, 8.6 mg/dL; creatinine, 0.41 mg/dL; aspartate aminotransferase (AST), 11 U/L; alanine aminotransferase (ALT), 17 U/L; and serum osmolarity, 258 mOs/kg. Her lipase was 30 U/L, and lactate was 0.8 mmol/L. Urine studies showed creatinine 41 mg/dL, osmolality 503 mOs/kg, and sodium 53 mmol/L.

At this point, the patient has been diagnosed with multiple pulmonary emboli and recurrent GI bleeding from duodenal ulcers with chest imaging suggestive of taxane-induced pulmonary toxicity. She now presents with worsening dyspnea and upper-GI symptoms.

Her dyspnea may represent worsening of her taxane-induced lung disease. However, she may have developed a superimposed infection, heart failure, or further pulmonary emboli. A CT pulmonary angiogram to evaluate for infection, recurrent pulmonary emboli, and worsening of her known taxane-induced pulmonary toxicity should be performed. If the CT demonstrates new areas of consolidation suggestive of a superimposed infection, a bronchoscopy would be warranted to obtain specimens for bacterial, fungal, and viral cultures.

On exam, she is in respiratory distress, almost mildly hypothermic and tachycardic with rhonchi on auscultation. This combination of findings could reflect worsening of her pulmonary disease and/or infection on the background of her cachectic state. Her epigastric tenderness, upper-GI symptoms, and anemia have continued to cause concern for persistent duodenal ulcers. Repeat EGD is warranted to evaluate for ulcers, recent bleed stigmata, and/or complications of ulcers, such as stricture formation, obstruction, or perforation. An abdominal CT scan should be done if the EGD does not show worsening of her peptic ulcer disease or obvious complications. The CT scan is more sensitive for certain complications of peptic ulcer disease, such as perforation or proximal small bowel obstruction due to strictures.

Her anemia could represent ongoing blood loss since her last EGD or an inflammatory state due to infection. Also of concern is her use of dapsone, which can lead to hemolysis with or without glucose-6-phosphate dehydrogenase deficiency (G6PD), and this should be excluded.

She has hypotonic hyponatremia and apparent euvolemia with a high urine sodium and osmolality; this suggests syndrome of inappropriate antidiuretic hormone secretion, which may be due to her ongoing pulmonary disease process.

On day 3 of her hospitalization, her abdominal pain became more diffuse and colicky, with two episodes of associated nonbloody bilious vomiting. During the next 48 hours, her abdominal pain and tenderness worsened diffusely but without rigidity or peritoneal signs. She developed mild abdominal distention. An abdominal X-ray showed moderate to large stool burden and increased bowel dilation concerning for small bowel obstruction. A nasogastric tube was placed, with initial improvement of her abdominal pain and distention. On the morning of day six of hospitalization, she had approximately 100 mL of hematemesis. She immediately became hypotensive to the 50s/20s, and roughly 400 mL of sanguineous fluid was suctioned from her nasogastric tube. She was promptly given intravenous (IV) fluids and 2 units of cross-matched packed red blood cells with normalization of her blood pressure and was transferred to the medical intensive care unit (MICU).

Later that day, she had an EGD that showed copious clots and a severely friable duodenum with duodenal narrowing. Duodenal biopsies were taken.

The duodenal ulcers have led to a complication of stricture formation and obstruction resulting in some degree of small bowel obstruction. EGD with biopsies can shed light on the etiology of these ulcers and can specifically exclude viral, fungal, protozoal, or mycobacterial infection; infiltrative diseases (lymphoma, sarcoidosis, amyloidosis); cancer; and inflammatory noninfectious diseases such as vasculitis/connective tissue disorder. Biopsy specimens should undergo light and electron microscopy (for protozoa-like Cryptosporidium); stains for fungal infections such as histoplasmosis, Candida, and Cryptococcus; and stains for mycobacterium. Immunohistochemistry and polymerase chain reaction (PCR) testing can identify CMV, HIV, HSV, and EBV within the duodenal tissue.

She remained on methylprednisolone 30 mg IV because of her known history of pneumonitis and concern for adrenal insufficiency in the setting of acute illness. Over the next 3 days, she remained normotensive with a stable hemoglobin and had no further episodes of hematemesis. She was transferred to the general medical floor.

One day later, she required an additional unit of cross-matched red blood cells because of a hemoglobin decrease to 6.4 g/dL. The next day, she developed acute-onset respiratory distress and was intubated for hypoxemic respiratory failure and readmitted to the MICU.

Her drop in hemoglobin may reflect ongoing bleeding from the duodenum or may be due to diffuse alveolar hemorrhage (DAH) complicating her pneumonitis. The deterioration in the patient’s respiratory status could represent worsening of her taxane pneumonitis (possibly complicated by DAH or acute respiratory distress syndrome), as fatalities have been reported despite steroid treatment. However, as stated earlier, it is prudent to exclude superimposed pulmonary infection or recurrent pulmonary embolism. Broad-spectrum antibiotics should be provided to cover hospital-acquired pneumonia. Transfusion-related acute lung injury (TRALI) as a cause of her respiratory distress is much less likely given onset after 24 hours from transfusion. Symptoms of TRALI almost always develop within 1 to 2 hours of starting a transfusion, with most starting within minutes. The timing of respiratory distress after 24 hours of transfusion also makes transfusion-associated circulatory overload unlikely, as this presents within 6 to 12 hours of a transfusion being completed and generally in patients receiving large transfusion volumes who have underlying cardiac or renal disease.

Her duodenal pathology revealed Strongyloides stercoralis infection (Figure 1), and she was placed on ivermectin. Steroids were continued due to concern for adrenal insufficiency in the setting of critical illness and later septic shock. Bronchoscopy was also performed, and a specimen grew S stercoralis. She developed septic shock from disseminated S stercoralis infection that required vasopressors. Her sanguineous orogastric output increased, and her abdominal distension worsened, concerning for an intra-abdominal bleed or possible duodenal perforation. As attempts were made to stabilize the patient, ultimately, she experienced cardiac arrest and died.

Strongyloides stercoralis Hyperinfection in a 57-Year-Old Woman with HIV and on Chemotherapy for Invasive Ductal Carcinoma

The patient succumbed to hyperinfection/dissemination of strongyloidiasis. Her risk factors for superinfection included chemotherapy and high-dose steroids, which led to an unchecked autoinfection.

A high index of suspicion remains the most effective overall diagnostic tool for superinfection, which carries a mortality rate of up to 85% even with treatment. Therefore, prevention is the best treatment. Asymptomatic patients with epidemiological exposure or from endemic areas should be evaluated for empiric treatment of S stercoralis prior to initiation of immunosuppressive treatment.

COMMENTARY

Strongyloides stercoralis is a helminth responsible for one of the most overlooked tropical diseases worldwide.1 It is estimated that 370 million individuals are infected with S stercoralis globally, and prevalence in the endemic tropics and subtropics is 10% to 40%.2,3Strongyloides stercoralis infection is characterized by typically nonspecific cutaneous, pulmonary, and GI symptoms, and chronic infection can often be asymptomatic. Once the infection is established, the entirety of the S stercoralis unique life cycle can occur inside the human host, forming a cycle of endogenous autoinfection that can keep the host chronically infected and infectious for decades (Figure 24). While our patient was likely chronically infected for 27 years, cases of patients being infected for up to 75 years have been reported.5 Though mostly identified in societies where fecal contamination of soil and poor sanitation are common, S stercoralis should be considered among populations who have traveled to endemic areas and are immunocompromised.

Life Cycle of Strongyloides stercoralis Highlighting the Differences Between Acute and Chronic Infection

Most chronic S stercoralis infections are asymptomatic, but infection can progress to the life-threatening hyperinfection phase, which has a mortality rate of approximately 85%.6 Hyperinfection and disseminated disease occur when there is a rapid proliferation of larvae within the pulmonary and GI tracts, but in the case of disseminated disease, may travel to the liver, brain, and kidneys.7,8 Typically, this is caused by decreased cellular immunity, often due to preexisting conditions such as human T-cell leukemia virus type 1 (HTLV-1) or medications that allow larvae proliferation to go unchecked.6,7 One common class of medications known to increase risk of progression to hyperinfection is corticosteroids, which are thought to both depress immunity and directly increase larvae population growth.6,9 Our patient had been on a prolonged course of steroids for her pulmonary symptoms, with increased doses during her acute illness because of concern for adrenal insufficiency; this likely further contributed to her progression to hyperinfection syndrome. Furthermore, the patient was also immunocompromised from chemotherapy. In addition, she had HIV, which has a controversial association with S stercoralis infection. While previously an AIDS-defining illness, prevalence data indicate a significant co-infection rate between S stercoralis and HIV, but it is unlikely that HIV increases progression to hyperinfection.3

Diagnosing chronic S stercoralis infection is difficult given the lack of a widely accepted gold standard for diagnosis. Traditionally, diagnosis relied on direct visualization of larvae with stool microscopy studies. However, to obtain adequate sensitivity from this method, up to seven serial stool samples must be examined, which is impractical from patient, cost, and efficiency standpoints.10 While other stool-based techniques, such as enriching the stool sample, stool agar plate culture, or PCR-based stool analysis, improve sensitivity, all stool-based studies are limited by intermittent larvae shedding and low worm burden associated with chronic infection.11 Conversely, serologic studies have higher sensitivity, but concerns exist about lower specificity due to potential cross-reactions with other helminths and the persistence of antibodies even after larvae eradication.11,12 Patients with suspected S stercoralis infection and pulmonary infiltrates on imaging may have larvae visible on sputum cultures. A final diagnostic method is direct visualization via biopsy during endoscopy or bronchoscopy, which is typically recommended in cases where suspicion is high yet stool studies have been negative.13 Our patient’s diagnosis was made by duodenal biopsy after her stool study was negative for S stercoralis.

Deciding who to test is difficult given the nonspecific nature of the symptoms but critically important because of the potential for mortality if the disease progresses to hyperinfection. Diagnosis should be suspected in a patient who has spent time in an endemic area and presents with any combination of pulmonary, dermatologic, or GI symptoms. If suspicion for infection is high in a patient being assessed for solid organ transplant or high-dose steroids, prophylactic treatment with ivermectin should be considered. Given the difficulty in diagnosis, some have suggested using eosinophilia as a key diagnostic element, but this has poor predictive value, particularly if the patient is on corticosteroids.7 This patient did not manifest with significant eosinophilia throughout her hospitalization.

This case highlights the difficulties of S stercoralis diagnosis given the nonspecific and variable symptoms, limitations in testing, and potential for remote travel history to endemic regions. It further underscores the need for provider vigilance when starting patients on immunosuppression, even with steroids, given the potential to accelerate chronic infections that were previously buried deep in the mucosa into a lethal hyperinfectious state.

TEACHING POINTS

  • The cycle of autoinfection by S stercoralis allows it to persist for decades even while asymptomatic. This means patients can present with infection years after travel to endemic regions.
  • Because progression to hyperinfection syndrome carries a high mortality rate and is associated with immunosuppressants, particularly corticosteroids, screening patients from or who have spent time in endemic regions for chronic S stercoralis infection is recommended prior to beginning immunosuppression.
  • Diagnosing chronic S stercoralis infection is difficult given the lack of a highly accurate, gold-standard test. Therefore, if suspicion for infection is high yet low-sensitivity stool studies have been negative, direct visualization with a biopsy is a diagnostic option.

Acknowledgment

The authors thank Dr Nicholas Moore, microbiologist at Rush University Medical Center, for his assistance in obtaining and preparing the histology images.

References

1. Olsen A, van Lieshout L, Marti H, et al. Strongyloidiasis--the most neglected of the neglected tropical diseases? Trans R Soc Trop Med Hyg. 2009;103(10):967-972. https://doi.org/10.1016/j.trstmh.2009.02.013
2. Bisoffi Z, Buonfrate D, Montresor A, et al. Strongyloides stercoralis: a plea for action. PLoS Negl Trop Dis. 2013;7(5):e2214. https://doi.org/10.1371/journal.pntd.0002214
3. Schär F, Trostdorf U, Giardina F, et al. Strongyloides stercoralis: global distribution and risk factors. PLoS Negl Trop Dis. 2013;7(7):e2288. https://doi.org/10.1371/journal.pntd.0002288
4. Silva AJ, Moser M. Life cycle of Strongyloides stercoralis. Accessed June 5, 2020. https://www.cdc.gov/parasites/strongyloides/biology.html
5. Prendki V, Fenaux P, Durand R, Thellier M, Bouchaud O. Strongyloidiasis in man 75 years after initial exposure. Emerg Infect Dis. 2011;17(5):931-932. https://doi.org/10.3201/eid1705.100490
6. Nutman TB. Human infection with Strongyloides stercoralis and other related Strongyloides species. Parasitology. 2017;144(3):263-273. https://doi.org/10.1017/S0031182016000834
7. Naidu P, Yanow SK, Kowalewska-Grochowska KT. Eosinophilia: a poor predictor of Strongyloides infection in refugees. Can J Infect Dis Med Microbiol. 2013;24(2):93-96. https://doi.org/10.1155/2013/290814
8. Kassalik M, Mönkemüller K. Strongyloides stercoralis hyperinfection syndrome and disseminated disease. Gastroenterol Hepatol (N Y). 2011;7(11):766-768.
9. Genta RM. Dysregulation of strongyloidiasis: a new hypothesis. Clin Microbiol Rev. 1992;5(4):345-355. https://doi.org/10.1128/cmr.5.4.345
10. Siddiqui AA, Berk SL. Diagnosis of Strongyloides stercoralis infection. Clin Infect Dis. 2001;33(7):1040-1047. https://doi.org/10.1086/322707
11. Buonfrate D, Requena-Mendez A, Angheben A, et al. Accuracy of molecular biology techniques for the diagnosis of Strongyloides stercoralis infection—a systematic review and meta-analysis. PLoS Negl Trop Dis. 2018;12(2):e0006229. dohttps://doi.org/10.1371/journal.pntd.0006229
12. Arifin N, Hanafiah KM, Ahmad H, Noordin R. Serodiagnosis and early detection of Strongyloides stercoralis infection. J Microbiol Immunol Infect. 2019;52(3):371-378. https://doi.org/10.1016/j.jmii.2018.10.001
13. Lowe RC, Chu JN, Pierce TT, Weil AA, Branda JA. Case 3-2020: a 44-year-old man with weight loss, diarrhea, and abdominal pain. N Engl J Med. 2020;382(4):365-374. https://doi.org/10.1056/NEJMcpc1913473

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This icon represents the patient’s case. Each paragraph that follows represents the discussant’s thoughts.

A 56-year-old-woman with a history of HIV and locally invasive ductal carcinoma recently treated with mastectomy and adjuvant doxorubicin and cyclophosphamide, now on paclitaxel, was transferred from another hospital with worsening nausea, epigastric pain, and dyspnea. She had been admitted multiple times to both this hospital and another hospital and had extensive workup over the previous 2 months for gastrointestinal (GI) bleeding and progressive dyspnea with orthopnea and paroxysmal nocturnal dyspnea in the setting of a documented 43-lb weight loss.

The patient presents with two clusters of symptoms in the context of chemotherapy regimens following mastectomy for local breast cancer. The first cluster of nausea, epigastric pain, and weight loss indicates upper-GI dysfunction/pathology, such as gastroparesis from paclitaxel-induced autonomic neuropathy given onset of symptoms following paclitaxel chemotherapy. The pretest probability of this is fairly high; however, in light of the GI bleeding, it is prudent to evaluate for other etiologies. The absence of vomiting does not exclude gastroparesis. Other considerations would be peptic ulcer disease or, less likely, the development of a gastric malignancy. A mechanical cause of gastric outlet obstruction from her known cancer is unlikely in this patient with localized breast cancer and recently completed chemotherapy, as breast cancer is unlikely to metastasize to the stomach. Preliminary workup would consist of computed tomography (CT) scan of the abdomen and an esophagogastroduodenoscopy (EGD) to further evaluate these etiologies. The second cluster of dyspnea, paroxysmal nocturnal dyspnea, and orthopnea suggests heart failure, given recent treatment with doxorubicin, and prompts consideration of anthracycline-induced cardiomyopathy. Work-up would include obtaining a transthoracic echocardiogram (TTE) to look for a decrease in her ejection fraction.

Her past medical history was otherwise significant only for the events of the previous few months. Eight months earlier, she was diagnosed with grade 3 triple-negative (estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2) invasive ductal carcinoma and underwent mastectomy with negative sentinel lymph node biopsy. She completed four cycles of adjuvant doxorubicin and cyclophosphamide and most recently completed cycle three of paclitaxel chemotherapy.

Her HIV disease was controlled with an antiretroviral regimen of dolutegravir/rilpivirine. She had an undetectable viral load for 20 years (CD4, 239 cells/μL 2 weeks prior to transfer).

Her social history included a 1-pack-year smoking history. She denied alcohol or illicit drug use. Family history included pancreatic cancer in her father and endometrial cancer in her paternal grandmother. She was originally from Mexico but moved to Illinois 27 years earlier.

Work-up for her dyspnea was initiated 7 weeks earlier: noncontrast CT of the chest showed extensive diffuse interstitial thickening and ground-glass opacities bilaterally. Bronchoscopy showed no gross abnormalities, and bronchial washings were negative for bacteria, fungi, Pneumocystis jirovecii , acid-fast bacilli, and cancer. She also had a TTE, which showed an ejection fraction of 65% to 70% and was only significant for a pulmonary artery systolic pressure of 45 mm Hg . She was diagnosed with paclitaxel-induced pneumonitis and was discharged home with prednisone 50 mg daily, dapsone, pantoprazole, and 2 L oxygen via nasal cannula.

Two weeks later, she was admitted for coffee-ground emesis and epigastric pain. Her hemoglobin was 5.9 g/dL, for which she was transfused 3 units of packed red blood cells. EGD showed bleeding from diffuse duodenitis, which was treated with argon plasma coagulation. She was also found to have bilateral pulmonary emboli and lower-extremity deep venous thromboses. An inferior vena cava filter was placed, and she was discharged. One week later, she was readmitted with melena, and repeat EGD showed multiple duodenal ulcers with no active bleeding. Colonoscopy was normal. She was continued on prednisone 40 mg daily, as any attempts at tapering the dose resulted in hypotension.

At the time of transfer, she had presented to the outside hospital with worsening nausea and epigastric pain, increasing postprandial abdominal pain, ongoing weight loss, worsening dyspnea on exertion, paroxysmal nocturnal dyspnea, and orthopnea. She denied symptoms of GI bleeding at that time.

Her imaging is consistent with, albeit not specific for, paclitaxel-induced acute pneumonitis. Her persistent dyspnea may be due to worsening of this pneumonitis. Given her GI bleeding and continued epigastric pain, worsening peptic ulcer disease is the likely culprit. The patient has had multiple episodes of bleeding from multiple duodenal ulcers while on proton pump inhibitors, so we should consider reasons for this progression, such as use of nonsteroidal anti-inflammatory drugs (NSAIDs); Helicobacter pylori, herpes simplex virus (HSV), Epstein-Barr virus (EBV), or cytomegalovirus (CMV) infection; Crohn disease, and antral G-cell hyperfunction, as well as lymphoproliferative disease. I would start with histopathology, urease testing, and viral cultures from biopsy specimens at EGD to help eliminate these possibilities for progression of her peptic ulcer disease. Another consideration, albeit rare for progression of peptic ulcer disease and specifically duodenal ulcers, is a gastrinoma-driven acid hypersecretion state, as in the Zollinger-Ellison syndrome. If the above studies do not reveal a cause for her continued peptic ulcer disease, I would check a fasting serum gastrin level and gastric pH to further evaluate this possibility.

Upon arrival on physical exam, her temperature was 35.4° C, heart rate 112 beats per minute, blood pressure 135/96 mm Hg, respiratory rate 34 breaths per minute, and oxygen saturation 97% on room air. She was ill- appearing and in mild respiratory distress with severe muscle wasting. Cervical and supraclavicular lymphadenopathy were not detected. Heart sounds were normal without murmurs. Her jugular venous pressure was approximately 7 cm H2O. She had no lower-extremity edema. On lung exam, diffuse rhonchi were audible bilaterally with no crackles or wheezing. There was no accessory muscle use. No clubbing was present. Her abdomen was soft and mildly tender in the epigastrium with normal bowel sounds.

Her labs revealed a white blood cell (WBC) count of 5,050/μL (neutrophils, 3,600/μL; lymphocytes, 560/μL; eosinophils, 560/μL; hemoglobin, 8.7 g/dL; mean corpuscular volume, 89.3 fL; and platelets, 402,000/μL). Her CD4 count was 235 cells/μL. Her comprehensive metabolic panel demonstrated a sodium of 127 mmol/L; potassium, 4.0 mmol/L; albumin, 2.0 g/dL; calcium, 8.6 mg/dL; creatinine, 0.41 mg/dL; aspartate aminotransferase (AST), 11 U/L; alanine aminotransferase (ALT), 17 U/L; and serum osmolarity, 258 mOs/kg. Her lipase was 30 U/L, and lactate was 0.8 mmol/L. Urine studies showed creatinine 41 mg/dL, osmolality 503 mOs/kg, and sodium 53 mmol/L.

At this point, the patient has been diagnosed with multiple pulmonary emboli and recurrent GI bleeding from duodenal ulcers with chest imaging suggestive of taxane-induced pulmonary toxicity. She now presents with worsening dyspnea and upper-GI symptoms.

Her dyspnea may represent worsening of her taxane-induced lung disease. However, she may have developed a superimposed infection, heart failure, or further pulmonary emboli. A CT pulmonary angiogram to evaluate for infection, recurrent pulmonary emboli, and worsening of her known taxane-induced pulmonary toxicity should be performed. If the CT demonstrates new areas of consolidation suggestive of a superimposed infection, a bronchoscopy would be warranted to obtain specimens for bacterial, fungal, and viral cultures.

On exam, she is in respiratory distress, almost mildly hypothermic and tachycardic with rhonchi on auscultation. This combination of findings could reflect worsening of her pulmonary disease and/or infection on the background of her cachectic state. Her epigastric tenderness, upper-GI symptoms, and anemia have continued to cause concern for persistent duodenal ulcers. Repeat EGD is warranted to evaluate for ulcers, recent bleed stigmata, and/or complications of ulcers, such as stricture formation, obstruction, or perforation. An abdominal CT scan should be done if the EGD does not show worsening of her peptic ulcer disease or obvious complications. The CT scan is more sensitive for certain complications of peptic ulcer disease, such as perforation or proximal small bowel obstruction due to strictures.

Her anemia could represent ongoing blood loss since her last EGD or an inflammatory state due to infection. Also of concern is her use of dapsone, which can lead to hemolysis with or without glucose-6-phosphate dehydrogenase deficiency (G6PD), and this should be excluded.

She has hypotonic hyponatremia and apparent euvolemia with a high urine sodium and osmolality; this suggests syndrome of inappropriate antidiuretic hormone secretion, which may be due to her ongoing pulmonary disease process.

On day 3 of her hospitalization, her abdominal pain became more diffuse and colicky, with two episodes of associated nonbloody bilious vomiting. During the next 48 hours, her abdominal pain and tenderness worsened diffusely but without rigidity or peritoneal signs. She developed mild abdominal distention. An abdominal X-ray showed moderate to large stool burden and increased bowel dilation concerning for small bowel obstruction. A nasogastric tube was placed, with initial improvement of her abdominal pain and distention. On the morning of day six of hospitalization, she had approximately 100 mL of hematemesis. She immediately became hypotensive to the 50s/20s, and roughly 400 mL of sanguineous fluid was suctioned from her nasogastric tube. She was promptly given intravenous (IV) fluids and 2 units of cross-matched packed red blood cells with normalization of her blood pressure and was transferred to the medical intensive care unit (MICU).

Later that day, she had an EGD that showed copious clots and a severely friable duodenum with duodenal narrowing. Duodenal biopsies were taken.

The duodenal ulcers have led to a complication of stricture formation and obstruction resulting in some degree of small bowel obstruction. EGD with biopsies can shed light on the etiology of these ulcers and can specifically exclude viral, fungal, protozoal, or mycobacterial infection; infiltrative diseases (lymphoma, sarcoidosis, amyloidosis); cancer; and inflammatory noninfectious diseases such as vasculitis/connective tissue disorder. Biopsy specimens should undergo light and electron microscopy (for protozoa-like Cryptosporidium); stains for fungal infections such as histoplasmosis, Candida, and Cryptococcus; and stains for mycobacterium. Immunohistochemistry and polymerase chain reaction (PCR) testing can identify CMV, HIV, HSV, and EBV within the duodenal tissue.

She remained on methylprednisolone 30 mg IV because of her known history of pneumonitis and concern for adrenal insufficiency in the setting of acute illness. Over the next 3 days, she remained normotensive with a stable hemoglobin and had no further episodes of hematemesis. She was transferred to the general medical floor.

One day later, she required an additional unit of cross-matched red blood cells because of a hemoglobin decrease to 6.4 g/dL. The next day, she developed acute-onset respiratory distress and was intubated for hypoxemic respiratory failure and readmitted to the MICU.

Her drop in hemoglobin may reflect ongoing bleeding from the duodenum or may be due to diffuse alveolar hemorrhage (DAH) complicating her pneumonitis. The deterioration in the patient’s respiratory status could represent worsening of her taxane pneumonitis (possibly complicated by DAH or acute respiratory distress syndrome), as fatalities have been reported despite steroid treatment. However, as stated earlier, it is prudent to exclude superimposed pulmonary infection or recurrent pulmonary embolism. Broad-spectrum antibiotics should be provided to cover hospital-acquired pneumonia. Transfusion-related acute lung injury (TRALI) as a cause of her respiratory distress is much less likely given onset after 24 hours from transfusion. Symptoms of TRALI almost always develop within 1 to 2 hours of starting a transfusion, with most starting within minutes. The timing of respiratory distress after 24 hours of transfusion also makes transfusion-associated circulatory overload unlikely, as this presents within 6 to 12 hours of a transfusion being completed and generally in patients receiving large transfusion volumes who have underlying cardiac or renal disease.

Her duodenal pathology revealed Strongyloides stercoralis infection (Figure 1), and she was placed on ivermectin. Steroids were continued due to concern for adrenal insufficiency in the setting of critical illness and later septic shock. Bronchoscopy was also performed, and a specimen grew S stercoralis. She developed septic shock from disseminated S stercoralis infection that required vasopressors. Her sanguineous orogastric output increased, and her abdominal distension worsened, concerning for an intra-abdominal bleed or possible duodenal perforation. As attempts were made to stabilize the patient, ultimately, she experienced cardiac arrest and died.

Strongyloides stercoralis Hyperinfection in a 57-Year-Old Woman with HIV and on Chemotherapy for Invasive Ductal Carcinoma

The patient succumbed to hyperinfection/dissemination of strongyloidiasis. Her risk factors for superinfection included chemotherapy and high-dose steroids, which led to an unchecked autoinfection.

A high index of suspicion remains the most effective overall diagnostic tool for superinfection, which carries a mortality rate of up to 85% even with treatment. Therefore, prevention is the best treatment. Asymptomatic patients with epidemiological exposure or from endemic areas should be evaluated for empiric treatment of S stercoralis prior to initiation of immunosuppressive treatment.

COMMENTARY

Strongyloides stercoralis is a helminth responsible for one of the most overlooked tropical diseases worldwide.1 It is estimated that 370 million individuals are infected with S stercoralis globally, and prevalence in the endemic tropics and subtropics is 10% to 40%.2,3Strongyloides stercoralis infection is characterized by typically nonspecific cutaneous, pulmonary, and GI symptoms, and chronic infection can often be asymptomatic. Once the infection is established, the entirety of the S stercoralis unique life cycle can occur inside the human host, forming a cycle of endogenous autoinfection that can keep the host chronically infected and infectious for decades (Figure 24). While our patient was likely chronically infected for 27 years, cases of patients being infected for up to 75 years have been reported.5 Though mostly identified in societies where fecal contamination of soil and poor sanitation are common, S stercoralis should be considered among populations who have traveled to endemic areas and are immunocompromised.

Life Cycle of Strongyloides stercoralis Highlighting the Differences Between Acute and Chronic Infection

Most chronic S stercoralis infections are asymptomatic, but infection can progress to the life-threatening hyperinfection phase, which has a mortality rate of approximately 85%.6 Hyperinfection and disseminated disease occur when there is a rapid proliferation of larvae within the pulmonary and GI tracts, but in the case of disseminated disease, may travel to the liver, brain, and kidneys.7,8 Typically, this is caused by decreased cellular immunity, often due to preexisting conditions such as human T-cell leukemia virus type 1 (HTLV-1) or medications that allow larvae proliferation to go unchecked.6,7 One common class of medications known to increase risk of progression to hyperinfection is corticosteroids, which are thought to both depress immunity and directly increase larvae population growth.6,9 Our patient had been on a prolonged course of steroids for her pulmonary symptoms, with increased doses during her acute illness because of concern for adrenal insufficiency; this likely further contributed to her progression to hyperinfection syndrome. Furthermore, the patient was also immunocompromised from chemotherapy. In addition, she had HIV, which has a controversial association with S stercoralis infection. While previously an AIDS-defining illness, prevalence data indicate a significant co-infection rate between S stercoralis and HIV, but it is unlikely that HIV increases progression to hyperinfection.3

Diagnosing chronic S stercoralis infection is difficult given the lack of a widely accepted gold standard for diagnosis. Traditionally, diagnosis relied on direct visualization of larvae with stool microscopy studies. However, to obtain adequate sensitivity from this method, up to seven serial stool samples must be examined, which is impractical from patient, cost, and efficiency standpoints.10 While other stool-based techniques, such as enriching the stool sample, stool agar plate culture, or PCR-based stool analysis, improve sensitivity, all stool-based studies are limited by intermittent larvae shedding and low worm burden associated with chronic infection.11 Conversely, serologic studies have higher sensitivity, but concerns exist about lower specificity due to potential cross-reactions with other helminths and the persistence of antibodies even after larvae eradication.11,12 Patients with suspected S stercoralis infection and pulmonary infiltrates on imaging may have larvae visible on sputum cultures. A final diagnostic method is direct visualization via biopsy during endoscopy or bronchoscopy, which is typically recommended in cases where suspicion is high yet stool studies have been negative.13 Our patient’s diagnosis was made by duodenal biopsy after her stool study was negative for S stercoralis.

Deciding who to test is difficult given the nonspecific nature of the symptoms but critically important because of the potential for mortality if the disease progresses to hyperinfection. Diagnosis should be suspected in a patient who has spent time in an endemic area and presents with any combination of pulmonary, dermatologic, or GI symptoms. If suspicion for infection is high in a patient being assessed for solid organ transplant or high-dose steroids, prophylactic treatment with ivermectin should be considered. Given the difficulty in diagnosis, some have suggested using eosinophilia as a key diagnostic element, but this has poor predictive value, particularly if the patient is on corticosteroids.7 This patient did not manifest with significant eosinophilia throughout her hospitalization.

This case highlights the difficulties of S stercoralis diagnosis given the nonspecific and variable symptoms, limitations in testing, and potential for remote travel history to endemic regions. It further underscores the need for provider vigilance when starting patients on immunosuppression, even with steroids, given the potential to accelerate chronic infections that were previously buried deep in the mucosa into a lethal hyperinfectious state.

TEACHING POINTS

  • The cycle of autoinfection by S stercoralis allows it to persist for decades even while asymptomatic. This means patients can present with infection years after travel to endemic regions.
  • Because progression to hyperinfection syndrome carries a high mortality rate and is associated with immunosuppressants, particularly corticosteroids, screening patients from or who have spent time in endemic regions for chronic S stercoralis infection is recommended prior to beginning immunosuppression.
  • Diagnosing chronic S stercoralis infection is difficult given the lack of a highly accurate, gold-standard test. Therefore, if suspicion for infection is high yet low-sensitivity stool studies have been negative, direct visualization with a biopsy is a diagnostic option.

Acknowledgment

The authors thank Dr Nicholas Moore, microbiologist at Rush University Medical Center, for his assistance in obtaining and preparing the histology images.

This icon represents the patient’s case. Each paragraph that follows represents the discussant’s thoughts.

A 56-year-old-woman with a history of HIV and locally invasive ductal carcinoma recently treated with mastectomy and adjuvant doxorubicin and cyclophosphamide, now on paclitaxel, was transferred from another hospital with worsening nausea, epigastric pain, and dyspnea. She had been admitted multiple times to both this hospital and another hospital and had extensive workup over the previous 2 months for gastrointestinal (GI) bleeding and progressive dyspnea with orthopnea and paroxysmal nocturnal dyspnea in the setting of a documented 43-lb weight loss.

The patient presents with two clusters of symptoms in the context of chemotherapy regimens following mastectomy for local breast cancer. The first cluster of nausea, epigastric pain, and weight loss indicates upper-GI dysfunction/pathology, such as gastroparesis from paclitaxel-induced autonomic neuropathy given onset of symptoms following paclitaxel chemotherapy. The pretest probability of this is fairly high; however, in light of the GI bleeding, it is prudent to evaluate for other etiologies. The absence of vomiting does not exclude gastroparesis. Other considerations would be peptic ulcer disease or, less likely, the development of a gastric malignancy. A mechanical cause of gastric outlet obstruction from her known cancer is unlikely in this patient with localized breast cancer and recently completed chemotherapy, as breast cancer is unlikely to metastasize to the stomach. Preliminary workup would consist of computed tomography (CT) scan of the abdomen and an esophagogastroduodenoscopy (EGD) to further evaluate these etiologies. The second cluster of dyspnea, paroxysmal nocturnal dyspnea, and orthopnea suggests heart failure, given recent treatment with doxorubicin, and prompts consideration of anthracycline-induced cardiomyopathy. Work-up would include obtaining a transthoracic echocardiogram (TTE) to look for a decrease in her ejection fraction.

Her past medical history was otherwise significant only for the events of the previous few months. Eight months earlier, she was diagnosed with grade 3 triple-negative (estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2) invasive ductal carcinoma and underwent mastectomy with negative sentinel lymph node biopsy. She completed four cycles of adjuvant doxorubicin and cyclophosphamide and most recently completed cycle three of paclitaxel chemotherapy.

Her HIV disease was controlled with an antiretroviral regimen of dolutegravir/rilpivirine. She had an undetectable viral load for 20 years (CD4, 239 cells/μL 2 weeks prior to transfer).

Her social history included a 1-pack-year smoking history. She denied alcohol or illicit drug use. Family history included pancreatic cancer in her father and endometrial cancer in her paternal grandmother. She was originally from Mexico but moved to Illinois 27 years earlier.

Work-up for her dyspnea was initiated 7 weeks earlier: noncontrast CT of the chest showed extensive diffuse interstitial thickening and ground-glass opacities bilaterally. Bronchoscopy showed no gross abnormalities, and bronchial washings were negative for bacteria, fungi, Pneumocystis jirovecii , acid-fast bacilli, and cancer. She also had a TTE, which showed an ejection fraction of 65% to 70% and was only significant for a pulmonary artery systolic pressure of 45 mm Hg . She was diagnosed with paclitaxel-induced pneumonitis and was discharged home with prednisone 50 mg daily, dapsone, pantoprazole, and 2 L oxygen via nasal cannula.

Two weeks later, she was admitted for coffee-ground emesis and epigastric pain. Her hemoglobin was 5.9 g/dL, for which she was transfused 3 units of packed red blood cells. EGD showed bleeding from diffuse duodenitis, which was treated with argon plasma coagulation. She was also found to have bilateral pulmonary emboli and lower-extremity deep venous thromboses. An inferior vena cava filter was placed, and she was discharged. One week later, she was readmitted with melena, and repeat EGD showed multiple duodenal ulcers with no active bleeding. Colonoscopy was normal. She was continued on prednisone 40 mg daily, as any attempts at tapering the dose resulted in hypotension.

At the time of transfer, she had presented to the outside hospital with worsening nausea and epigastric pain, increasing postprandial abdominal pain, ongoing weight loss, worsening dyspnea on exertion, paroxysmal nocturnal dyspnea, and orthopnea. She denied symptoms of GI bleeding at that time.

Her imaging is consistent with, albeit not specific for, paclitaxel-induced acute pneumonitis. Her persistent dyspnea may be due to worsening of this pneumonitis. Given her GI bleeding and continued epigastric pain, worsening peptic ulcer disease is the likely culprit. The patient has had multiple episodes of bleeding from multiple duodenal ulcers while on proton pump inhibitors, so we should consider reasons for this progression, such as use of nonsteroidal anti-inflammatory drugs (NSAIDs); Helicobacter pylori, herpes simplex virus (HSV), Epstein-Barr virus (EBV), or cytomegalovirus (CMV) infection; Crohn disease, and antral G-cell hyperfunction, as well as lymphoproliferative disease. I would start with histopathology, urease testing, and viral cultures from biopsy specimens at EGD to help eliminate these possibilities for progression of her peptic ulcer disease. Another consideration, albeit rare for progression of peptic ulcer disease and specifically duodenal ulcers, is a gastrinoma-driven acid hypersecretion state, as in the Zollinger-Ellison syndrome. If the above studies do not reveal a cause for her continued peptic ulcer disease, I would check a fasting serum gastrin level and gastric pH to further evaluate this possibility.

Upon arrival on physical exam, her temperature was 35.4° C, heart rate 112 beats per minute, blood pressure 135/96 mm Hg, respiratory rate 34 breaths per minute, and oxygen saturation 97% on room air. She was ill- appearing and in mild respiratory distress with severe muscle wasting. Cervical and supraclavicular lymphadenopathy were not detected. Heart sounds were normal without murmurs. Her jugular venous pressure was approximately 7 cm H2O. She had no lower-extremity edema. On lung exam, diffuse rhonchi were audible bilaterally with no crackles or wheezing. There was no accessory muscle use. No clubbing was present. Her abdomen was soft and mildly tender in the epigastrium with normal bowel sounds.

Her labs revealed a white blood cell (WBC) count of 5,050/μL (neutrophils, 3,600/μL; lymphocytes, 560/μL; eosinophils, 560/μL; hemoglobin, 8.7 g/dL; mean corpuscular volume, 89.3 fL; and platelets, 402,000/μL). Her CD4 count was 235 cells/μL. Her comprehensive metabolic panel demonstrated a sodium of 127 mmol/L; potassium, 4.0 mmol/L; albumin, 2.0 g/dL; calcium, 8.6 mg/dL; creatinine, 0.41 mg/dL; aspartate aminotransferase (AST), 11 U/L; alanine aminotransferase (ALT), 17 U/L; and serum osmolarity, 258 mOs/kg. Her lipase was 30 U/L, and lactate was 0.8 mmol/L. Urine studies showed creatinine 41 mg/dL, osmolality 503 mOs/kg, and sodium 53 mmol/L.

At this point, the patient has been diagnosed with multiple pulmonary emboli and recurrent GI bleeding from duodenal ulcers with chest imaging suggestive of taxane-induced pulmonary toxicity. She now presents with worsening dyspnea and upper-GI symptoms.

Her dyspnea may represent worsening of her taxane-induced lung disease. However, she may have developed a superimposed infection, heart failure, or further pulmonary emboli. A CT pulmonary angiogram to evaluate for infection, recurrent pulmonary emboli, and worsening of her known taxane-induced pulmonary toxicity should be performed. If the CT demonstrates new areas of consolidation suggestive of a superimposed infection, a bronchoscopy would be warranted to obtain specimens for bacterial, fungal, and viral cultures.

On exam, she is in respiratory distress, almost mildly hypothermic and tachycardic with rhonchi on auscultation. This combination of findings could reflect worsening of her pulmonary disease and/or infection on the background of her cachectic state. Her epigastric tenderness, upper-GI symptoms, and anemia have continued to cause concern for persistent duodenal ulcers. Repeat EGD is warranted to evaluate for ulcers, recent bleed stigmata, and/or complications of ulcers, such as stricture formation, obstruction, or perforation. An abdominal CT scan should be done if the EGD does not show worsening of her peptic ulcer disease or obvious complications. The CT scan is more sensitive for certain complications of peptic ulcer disease, such as perforation or proximal small bowel obstruction due to strictures.

Her anemia could represent ongoing blood loss since her last EGD or an inflammatory state due to infection. Also of concern is her use of dapsone, which can lead to hemolysis with or without glucose-6-phosphate dehydrogenase deficiency (G6PD), and this should be excluded.

She has hypotonic hyponatremia and apparent euvolemia with a high urine sodium and osmolality; this suggests syndrome of inappropriate antidiuretic hormone secretion, which may be due to her ongoing pulmonary disease process.

On day 3 of her hospitalization, her abdominal pain became more diffuse and colicky, with two episodes of associated nonbloody bilious vomiting. During the next 48 hours, her abdominal pain and tenderness worsened diffusely but without rigidity or peritoneal signs. She developed mild abdominal distention. An abdominal X-ray showed moderate to large stool burden and increased bowel dilation concerning for small bowel obstruction. A nasogastric tube was placed, with initial improvement of her abdominal pain and distention. On the morning of day six of hospitalization, she had approximately 100 mL of hematemesis. She immediately became hypotensive to the 50s/20s, and roughly 400 mL of sanguineous fluid was suctioned from her nasogastric tube. She was promptly given intravenous (IV) fluids and 2 units of cross-matched packed red blood cells with normalization of her blood pressure and was transferred to the medical intensive care unit (MICU).

Later that day, she had an EGD that showed copious clots and a severely friable duodenum with duodenal narrowing. Duodenal biopsies were taken.

The duodenal ulcers have led to a complication of stricture formation and obstruction resulting in some degree of small bowel obstruction. EGD with biopsies can shed light on the etiology of these ulcers and can specifically exclude viral, fungal, protozoal, or mycobacterial infection; infiltrative diseases (lymphoma, sarcoidosis, amyloidosis); cancer; and inflammatory noninfectious diseases such as vasculitis/connective tissue disorder. Biopsy specimens should undergo light and electron microscopy (for protozoa-like Cryptosporidium); stains for fungal infections such as histoplasmosis, Candida, and Cryptococcus; and stains for mycobacterium. Immunohistochemistry and polymerase chain reaction (PCR) testing can identify CMV, HIV, HSV, and EBV within the duodenal tissue.

She remained on methylprednisolone 30 mg IV because of her known history of pneumonitis and concern for adrenal insufficiency in the setting of acute illness. Over the next 3 days, she remained normotensive with a stable hemoglobin and had no further episodes of hematemesis. She was transferred to the general medical floor.

One day later, she required an additional unit of cross-matched red blood cells because of a hemoglobin decrease to 6.4 g/dL. The next day, she developed acute-onset respiratory distress and was intubated for hypoxemic respiratory failure and readmitted to the MICU.

Her drop in hemoglobin may reflect ongoing bleeding from the duodenum or may be due to diffuse alveolar hemorrhage (DAH) complicating her pneumonitis. The deterioration in the patient’s respiratory status could represent worsening of her taxane pneumonitis (possibly complicated by DAH or acute respiratory distress syndrome), as fatalities have been reported despite steroid treatment. However, as stated earlier, it is prudent to exclude superimposed pulmonary infection or recurrent pulmonary embolism. Broad-spectrum antibiotics should be provided to cover hospital-acquired pneumonia. Transfusion-related acute lung injury (TRALI) as a cause of her respiratory distress is much less likely given onset after 24 hours from transfusion. Symptoms of TRALI almost always develop within 1 to 2 hours of starting a transfusion, with most starting within minutes. The timing of respiratory distress after 24 hours of transfusion also makes transfusion-associated circulatory overload unlikely, as this presents within 6 to 12 hours of a transfusion being completed and generally in patients receiving large transfusion volumes who have underlying cardiac or renal disease.

Her duodenal pathology revealed Strongyloides stercoralis infection (Figure 1), and she was placed on ivermectin. Steroids were continued due to concern for adrenal insufficiency in the setting of critical illness and later septic shock. Bronchoscopy was also performed, and a specimen grew S stercoralis. She developed septic shock from disseminated S stercoralis infection that required vasopressors. Her sanguineous orogastric output increased, and her abdominal distension worsened, concerning for an intra-abdominal bleed or possible duodenal perforation. As attempts were made to stabilize the patient, ultimately, she experienced cardiac arrest and died.

Strongyloides stercoralis Hyperinfection in a 57-Year-Old Woman with HIV and on Chemotherapy for Invasive Ductal Carcinoma

The patient succumbed to hyperinfection/dissemination of strongyloidiasis. Her risk factors for superinfection included chemotherapy and high-dose steroids, which led to an unchecked autoinfection.

A high index of suspicion remains the most effective overall diagnostic tool for superinfection, which carries a mortality rate of up to 85% even with treatment. Therefore, prevention is the best treatment. Asymptomatic patients with epidemiological exposure or from endemic areas should be evaluated for empiric treatment of S stercoralis prior to initiation of immunosuppressive treatment.

COMMENTARY

Strongyloides stercoralis is a helminth responsible for one of the most overlooked tropical diseases worldwide.1 It is estimated that 370 million individuals are infected with S stercoralis globally, and prevalence in the endemic tropics and subtropics is 10% to 40%.2,3Strongyloides stercoralis infection is characterized by typically nonspecific cutaneous, pulmonary, and GI symptoms, and chronic infection can often be asymptomatic. Once the infection is established, the entirety of the S stercoralis unique life cycle can occur inside the human host, forming a cycle of endogenous autoinfection that can keep the host chronically infected and infectious for decades (Figure 24). While our patient was likely chronically infected for 27 years, cases of patients being infected for up to 75 years have been reported.5 Though mostly identified in societies where fecal contamination of soil and poor sanitation are common, S stercoralis should be considered among populations who have traveled to endemic areas and are immunocompromised.

Life Cycle of Strongyloides stercoralis Highlighting the Differences Between Acute and Chronic Infection

Most chronic S stercoralis infections are asymptomatic, but infection can progress to the life-threatening hyperinfection phase, which has a mortality rate of approximately 85%.6 Hyperinfection and disseminated disease occur when there is a rapid proliferation of larvae within the pulmonary and GI tracts, but in the case of disseminated disease, may travel to the liver, brain, and kidneys.7,8 Typically, this is caused by decreased cellular immunity, often due to preexisting conditions such as human T-cell leukemia virus type 1 (HTLV-1) or medications that allow larvae proliferation to go unchecked.6,7 One common class of medications known to increase risk of progression to hyperinfection is corticosteroids, which are thought to both depress immunity and directly increase larvae population growth.6,9 Our patient had been on a prolonged course of steroids for her pulmonary symptoms, with increased doses during her acute illness because of concern for adrenal insufficiency; this likely further contributed to her progression to hyperinfection syndrome. Furthermore, the patient was also immunocompromised from chemotherapy. In addition, she had HIV, which has a controversial association with S stercoralis infection. While previously an AIDS-defining illness, prevalence data indicate a significant co-infection rate between S stercoralis and HIV, but it is unlikely that HIV increases progression to hyperinfection.3

Diagnosing chronic S stercoralis infection is difficult given the lack of a widely accepted gold standard for diagnosis. Traditionally, diagnosis relied on direct visualization of larvae with stool microscopy studies. However, to obtain adequate sensitivity from this method, up to seven serial stool samples must be examined, which is impractical from patient, cost, and efficiency standpoints.10 While other stool-based techniques, such as enriching the stool sample, stool agar plate culture, or PCR-based stool analysis, improve sensitivity, all stool-based studies are limited by intermittent larvae shedding and low worm burden associated with chronic infection.11 Conversely, serologic studies have higher sensitivity, but concerns exist about lower specificity due to potential cross-reactions with other helminths and the persistence of antibodies even after larvae eradication.11,12 Patients with suspected S stercoralis infection and pulmonary infiltrates on imaging may have larvae visible on sputum cultures. A final diagnostic method is direct visualization via biopsy during endoscopy or bronchoscopy, which is typically recommended in cases where suspicion is high yet stool studies have been negative.13 Our patient’s diagnosis was made by duodenal biopsy after her stool study was negative for S stercoralis.

Deciding who to test is difficult given the nonspecific nature of the symptoms but critically important because of the potential for mortality if the disease progresses to hyperinfection. Diagnosis should be suspected in a patient who has spent time in an endemic area and presents with any combination of pulmonary, dermatologic, or GI symptoms. If suspicion for infection is high in a patient being assessed for solid organ transplant or high-dose steroids, prophylactic treatment with ivermectin should be considered. Given the difficulty in diagnosis, some have suggested using eosinophilia as a key diagnostic element, but this has poor predictive value, particularly if the patient is on corticosteroids.7 This patient did not manifest with significant eosinophilia throughout her hospitalization.

This case highlights the difficulties of S stercoralis diagnosis given the nonspecific and variable symptoms, limitations in testing, and potential for remote travel history to endemic regions. It further underscores the need for provider vigilance when starting patients on immunosuppression, even with steroids, given the potential to accelerate chronic infections that were previously buried deep in the mucosa into a lethal hyperinfectious state.

TEACHING POINTS

  • The cycle of autoinfection by S stercoralis allows it to persist for decades even while asymptomatic. This means patients can present with infection years after travel to endemic regions.
  • Because progression to hyperinfection syndrome carries a high mortality rate and is associated with immunosuppressants, particularly corticosteroids, screening patients from or who have spent time in endemic regions for chronic S stercoralis infection is recommended prior to beginning immunosuppression.
  • Diagnosing chronic S stercoralis infection is difficult given the lack of a highly accurate, gold-standard test. Therefore, if suspicion for infection is high yet low-sensitivity stool studies have been negative, direct visualization with a biopsy is a diagnostic option.

Acknowledgment

The authors thank Dr Nicholas Moore, microbiologist at Rush University Medical Center, for his assistance in obtaining and preparing the histology images.

References

1. Olsen A, van Lieshout L, Marti H, et al. Strongyloidiasis--the most neglected of the neglected tropical diseases? Trans R Soc Trop Med Hyg. 2009;103(10):967-972. https://doi.org/10.1016/j.trstmh.2009.02.013
2. Bisoffi Z, Buonfrate D, Montresor A, et al. Strongyloides stercoralis: a plea for action. PLoS Negl Trop Dis. 2013;7(5):e2214. https://doi.org/10.1371/journal.pntd.0002214
3. Schär F, Trostdorf U, Giardina F, et al. Strongyloides stercoralis: global distribution and risk factors. PLoS Negl Trop Dis. 2013;7(7):e2288. https://doi.org/10.1371/journal.pntd.0002288
4. Silva AJ, Moser M. Life cycle of Strongyloides stercoralis. Accessed June 5, 2020. https://www.cdc.gov/parasites/strongyloides/biology.html
5. Prendki V, Fenaux P, Durand R, Thellier M, Bouchaud O. Strongyloidiasis in man 75 years after initial exposure. Emerg Infect Dis. 2011;17(5):931-932. https://doi.org/10.3201/eid1705.100490
6. Nutman TB. Human infection with Strongyloides stercoralis and other related Strongyloides species. Parasitology. 2017;144(3):263-273. https://doi.org/10.1017/S0031182016000834
7. Naidu P, Yanow SK, Kowalewska-Grochowska KT. Eosinophilia: a poor predictor of Strongyloides infection in refugees. Can J Infect Dis Med Microbiol. 2013;24(2):93-96. https://doi.org/10.1155/2013/290814
8. Kassalik M, Mönkemüller K. Strongyloides stercoralis hyperinfection syndrome and disseminated disease. Gastroenterol Hepatol (N Y). 2011;7(11):766-768.
9. Genta RM. Dysregulation of strongyloidiasis: a new hypothesis. Clin Microbiol Rev. 1992;5(4):345-355. https://doi.org/10.1128/cmr.5.4.345
10. Siddiqui AA, Berk SL. Diagnosis of Strongyloides stercoralis infection. Clin Infect Dis. 2001;33(7):1040-1047. https://doi.org/10.1086/322707
11. Buonfrate D, Requena-Mendez A, Angheben A, et al. Accuracy of molecular biology techniques for the diagnosis of Strongyloides stercoralis infection—a systematic review and meta-analysis. PLoS Negl Trop Dis. 2018;12(2):e0006229. dohttps://doi.org/10.1371/journal.pntd.0006229
12. Arifin N, Hanafiah KM, Ahmad H, Noordin R. Serodiagnosis and early detection of Strongyloides stercoralis infection. J Microbiol Immunol Infect. 2019;52(3):371-378. https://doi.org/10.1016/j.jmii.2018.10.001
13. Lowe RC, Chu JN, Pierce TT, Weil AA, Branda JA. Case 3-2020: a 44-year-old man with weight loss, diarrhea, and abdominal pain. N Engl J Med. 2020;382(4):365-374. https://doi.org/10.1056/NEJMcpc1913473

References

1. Olsen A, van Lieshout L, Marti H, et al. Strongyloidiasis--the most neglected of the neglected tropical diseases? Trans R Soc Trop Med Hyg. 2009;103(10):967-972. https://doi.org/10.1016/j.trstmh.2009.02.013
2. Bisoffi Z, Buonfrate D, Montresor A, et al. Strongyloides stercoralis: a plea for action. PLoS Negl Trop Dis. 2013;7(5):e2214. https://doi.org/10.1371/journal.pntd.0002214
3. Schär F, Trostdorf U, Giardina F, et al. Strongyloides stercoralis: global distribution and risk factors. PLoS Negl Trop Dis. 2013;7(7):e2288. https://doi.org/10.1371/journal.pntd.0002288
4. Silva AJ, Moser M. Life cycle of Strongyloides stercoralis. Accessed June 5, 2020. https://www.cdc.gov/parasites/strongyloides/biology.html
5. Prendki V, Fenaux P, Durand R, Thellier M, Bouchaud O. Strongyloidiasis in man 75 years after initial exposure. Emerg Infect Dis. 2011;17(5):931-932. https://doi.org/10.3201/eid1705.100490
6. Nutman TB. Human infection with Strongyloides stercoralis and other related Strongyloides species. Parasitology. 2017;144(3):263-273. https://doi.org/10.1017/S0031182016000834
7. Naidu P, Yanow SK, Kowalewska-Grochowska KT. Eosinophilia: a poor predictor of Strongyloides infection in refugees. Can J Infect Dis Med Microbiol. 2013;24(2):93-96. https://doi.org/10.1155/2013/290814
8. Kassalik M, Mönkemüller K. Strongyloides stercoralis hyperinfection syndrome and disseminated disease. Gastroenterol Hepatol (N Y). 2011;7(11):766-768.
9. Genta RM. Dysregulation of strongyloidiasis: a new hypothesis. Clin Microbiol Rev. 1992;5(4):345-355. https://doi.org/10.1128/cmr.5.4.345
10. Siddiqui AA, Berk SL. Diagnosis of Strongyloides stercoralis infection. Clin Infect Dis. 2001;33(7):1040-1047. https://doi.org/10.1086/322707
11. Buonfrate D, Requena-Mendez A, Angheben A, et al. Accuracy of molecular biology techniques for the diagnosis of Strongyloides stercoralis infection—a systematic review and meta-analysis. PLoS Negl Trop Dis. 2018;12(2):e0006229. dohttps://doi.org/10.1371/journal.pntd.0006229
12. Arifin N, Hanafiah KM, Ahmad H, Noordin R. Serodiagnosis and early detection of Strongyloides stercoralis infection. J Microbiol Immunol Infect. 2019;52(3):371-378. https://doi.org/10.1016/j.jmii.2018.10.001
13. Lowe RC, Chu JN, Pierce TT, Weil AA, Branda JA. Case 3-2020: a 44-year-old man with weight loss, diarrhea, and abdominal pain. N Engl J Med. 2020;382(4):365-374. https://doi.org/10.1056/NEJMcpc1913473

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Things We Do for No Reason™: Obtaining Urine Testing in Older Adults With Delirium Without Signs or Symptoms of Urinary Tract Infection

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Things We Do for No Reason™: Obtaining Urine Testing in Older Adults With Delirium Without Signs or Symptoms of Urinary Tract Infection

Inspired by the ABIM Foundation’s Choosing Wisely® campaign, the “Things We Do for No Reason” (TWDFNR) series reviews practices that have become common parts of hospital care but may provide little value to our patients. Practices reviewed in the TWDFNR series do not represent clear-cut conclusions or clinical practice standards but are meant as a starting place for research and active discussions among hospitalists and patients. We invite you to be part of that discussion.

CLINICAL SCENARIO

A 78-year-old female nursing home resident presents to the emergency department for evaluation of a several-hour history of confusion and restlessness. The patient is accompanied by one of her caregivers from the nursing home. Initial evaluation reveals an awake but inattentive, disoriented, and agitated woman who can answer basic questions appropriately. The caregiver denies the patient having had any antecedent concerns, such as pain with urination, abdominal pain, subjective fevers, chills, or night sweats. Vital signs include a temperature of 37.5 °C (99.5 °F), heart rate of 90 beats per minute, blood pressure of 110/60 mm Hg, respiratory rate of 14 breaths per minute, and oxygen saturation of 98% on room air. The patient has a normal lung and abdominal exam without any suprapubic or flank tenderness. There is no Foley catheter in place.

BACKGROUND

Delirium, defined by the World Health Organization’s 10th revision of the International Classification of Diseases as “an etiologically nonspecific organic cerebral syndrome characterized by concurrent disturbances of consciousness and attention, perception, thinking, memory, psychomotor behavior, emotion, and the sleep-wake schedule,” is associated with poor clinical outcomes in older patients.1,2 Mental status changes, which can arise rapidly over the course of hours to days, often fluctuate, with most cases resolving within days of onset.3 In the United States, more than 2.6 million adults aged 65 years and older develop delirium each year, accounting for an estimated $38 to $152 billion in annual healthcare expenditures.4

WHY YOU MIGHT THINK URINE TESTING IS HELPFUL IN OLDER ADULTS WITH DELIRIUM WHO HAVE NO SIGNS OR SYMPTOMS OF URINARY TRACT INFECTION

Some clinicians believe that the evaluation for delirium should include an empiric urinary infectious workup with urinalysis and/or urine cultures, even in the absence of local genitourinary symptoms or other signs of infection. In fact, altered mental status is the most common indication for ordering a urine culture in older adult patients.5

Urinary tract infections (UTIs) account for almost 25% of all reported infections in older patients, with delirium occurring in up to 30% of this patient population.6 As one study demonstrated, given this population’s very high prevalence of asymptomatic bacteriuria (ASB), urine studies sent during a delirium work-up often yield positive findings (defined as ≥105 colony-forming units [CFU]/mL [≥108 CFU/L]) in older patients with no signs or symptoms attributable to UTI.7 The incidence of ASB increases significantly with age, with prevalence estimated to be between 6% and 10% in women older than 60 years and approximately 5% in men older than 65 years.5 Among older patients residing in long-term care facilities, up to 50% of female residents and up to 40% of male residents have ASB.8 These findings, in part, created the common perception of causation between UTI and delirium.

WHY YOU SHOULD NOT OBTAIN URINE TESTING IN OLDER ADULTS WITH DELIRIUM IF THEY HAVE NO SIGNS OR SYMPTOMS OF URINARY TRACT INFECTION

A recent systematic review demonstrated that there is insufficient evidence to associate UTI with acute confusion in older patients.9 The Centers for Disease Control and Prevention’s National Health Safety Network notes that at least one of the following criteria must be present for the diagnosis of UTI in noncatheterized patients: fever (>38 °C), suprapubic tenderness, costovertebral angle tenderness, urinary frequency, urinary urgency, or dysuria.10 Recent studies have identified that ASB—by definition, without dysuria, frequency, bladder discomfort, or fever—is an unlikely cause of delirium.6,11

The 2019 Infectious Diseases Society of America (IDSA) practice guidelines suggest that clinicians not screen for ASB in older functionally or cognitively impaired patients with no local genitourinary symptoms or other signs of infection. The IDSA acknowledges that the potential adverse outcomes of antimicrobial therapy, including Clostridioides difficile infection, increased antimicrobial resistance, or adverse drug effects, outweigh the potential benefit of treatment given the absence of evidence that such treatment improves outcomes for this vulnerable patient population (strong recommendation, very low-quality evidence).12 Per the IDSA guidelines, recommendations are strong when there is “moderate- or high-quality evidence that the desirable consequences outweigh the undesirable consequences for a course of action” and “may also be strong when there is high-quality evidence of harm and benefits are uncertain (ie, low or very low quality),” as in this case scenario. Studies of older institutionalized and hospitalized patients have found that ASB often results in inappropriate antimicrobial use with limited benefit.7,13,14 In addition to noting the lack of benefit from treatment, these studies have found that these patients treated with antimicrobials have worse outcomes when compared to untreated patients with ASB. One study of hospitalized patients treated for ASB concluded that participants given antimicrobial agents experienced longer durations of hospitalization, with no benefits from treatment.13 Moreover, another study identified poor long-term functional recovery in patients treated for ASB.14

Overtreatment also has public health implications given that it may increase the prevalence of multidrug-resistant bacteria in long-term care facilities.15 One recent study of nursing home residents demonstrated an association between bacteriuria, increased antibiotic use, and subsequent isolation of multidrug-resistant gram-negative organisms.16 The increased prevalence of these organisms limits options for oral antibiotic therapies in the outpatient setting, potentially leading to increased healthcare utilization and further harms relating to institutionalization in this vulnerable patient population. In light of the ethical concept of nonmaleficence, recognizing the potential harms of treating ASB without clear benefit is important for clinicians to take into account when considering urinalysis in this patient population.

In addition, obtaining a urine culture in an older patient with no signs or symptoms of UTI may lead to premature closure from a diagnostic perspective, resulting in missed diagnoses during clinical evaluation. A missed alternative diagnosis could then cause additional, ongoing harm to the patient if left untreated. Subsequent harms from delayed treatment can thus compound the direct harms and added costs incurred by inappropriate testing and treatment of patients with delirium.

Since 2013, the American Geriatrics Society (AGS) has recommended against the use of antimicrobials in older patients with no urinary tract symptoms, stating that “Antimicrobial treatment studies for asymptomatic bacteriuria in older adults demonstrate no benefits and show increased adverse antimicrobial effects.”17 The IDSA practice guidelines state the following: “In older patients with functional and/or cognitive impairment with bacteriuria and delirium (acute mental status change, confusion) and without local genitourinary symptoms or other systemic signs of infection (eg, fever or hemodynamic instability), we recommend assessment for other causes and careful observation rather than antimicrobial treatment (strong recommendation, very low-quality evidence).”12

WHEN YOU SHOULD OBTAIN URINALYSIS FOR OLDER ADULTS WITH DELIRIUM

Older patients presenting with confusion in the setting of recognized symptoms of UTI (eg, acute dysuria, urinary urgency or frequency) warrant urinalysis and urine culture. Additionally, urinalysis and urine cultures may be warranted to assess for UTI—even in the absence of a localizing source—in older patients with signs and symptoms of delirium who also exhibit systemic signs of infection (eg, fever, leukocytosis, hemodynamic instability).12

WHAT YOU SHOULD DO INSTEAD

Initial evaluation of an older patient with delirium should include a thorough review of their recent history and baseline mental status with a knowledgeable informant, a careful physical and neurologic examination, and laboratory studies to determine the presence of electrolyte or metabolic derangements as well as infection and organ failure.4 Clinicians should take into account nonmodifiable risk factors for delirium and conduct a careful review of the time course of changes in mental status and modifiable risk factors, including environment, sleep deprivation, medications, immobilization, and sensory impairments.18

To manage delirium in older patients, clinicians should identify reversible causes of the delirium and minimize modifiable exacerbating factors (eg, sensory impairment, sleep deprivation) in the immediate environment of the patient. They should also carefully review medications that may contribute to delirium, using tools such as the AGS Beers Criteria to identify high-risk medications and concerning medication combinations.19 Patients who develop local or systemic signs of infection (ie, fevers, chills, dysuria) should undergo appropriate testing, including urinalysis if there is clinical suspicion for urinary etiology.

RECOMMENDATIONS

  • For older patients presenting with delirium without localized urinary symptoms or systemic signs of a serious infection, forgo routine ordering of urinalysis and urine culture.
  • For older patients presenting with delirium and localized or systemic signs of infection, routine urine studies and antimicrobial therapy may be appropriate.
  • For older patients presenting with delirium without localized symptoms or systemic signs of serious infection, attempt to first identify the cause of the change in mental status by obtaining history from a reliable informant, performing a thorough physical and neurologic examination, and evaluating for metabolic and electrolyte derangements.

CONCLUSION

Returning to the clinical scenario, older patients presenting with signs and symptoms of delirium should undergo further work-up to determine underlying causes for their altered mental status. The patient’s history, ideally obtained from a knowledgeable informant, should offer insight into her baseline mental status and risk factors for delirium. This should be followed by a careful physical and neurologic examination, and evaluation for electrolyte, metabolic, and other derangements. In patients without localized or systemic signs of infection, routine urine testing and treatment of bacteriuria should be avoided.

Do you think this is a low-value practice? Is this truly a “Thing We Do for No Reason”? Share what you do in your practice and join in the conversation online by retweeting it on Twitter (#TWDFNR) and liking it on Facebook. We invite you to pro­pose ideas for other “Things We Do for No Reason" topics by emailing TWDFNR@hospitalmedicine.org

References

1. World Health Organization. 2018 International Classification of Diseases for Mortality and Morbidity Statistics. 11th Rev. Published September 20, 2020. Accessed April 12, 2021. https://icd.who.int/browse10/2019/en#/F04
2. Witlox J, Eurelings LS, de Jonghe JFM, Kalisvaart KJ, Eikelenboom P, van Gool WA. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization and dementia: a meta-analysis. JAMA. 2010;304(4):443-451. https://doi.org/10.1001/jama.2010.1013
3. Young J, Inouye SK. Delirium in older people. BMJ. 2007;334(7598):842-846. https://doi.org/10.1136/bmj.39169.706574.ad
4. Oh ES, Fong TG, Hshieh TT, Inouye SK. Delirium in older persons: advances in diagnosis and treatment. JAMA. 2017;318(12):1161-1174. https://doi.org/10.1001/jama.2017.12067
5. R McKenzie, M Stewart, M. Bellantoni, TE Finucane. Bacteriuria in Individuals who become delirious. Am J Med. 2014;127(4):255-257. https://doi.org/10.1016/j.amjmed.2013.10.016
6. Balogun S, Philbrick JT. Delirium, a symptom of UTI in the elderly: fact or fable? A systematic review. Can Geriatr J. 2013;17(1):22-26. https://doi.org/10.5770/cgj.17.90
7. Nicolle LE, Mayhew WJ, Bryan L. Prospective randomized comparison of therapy and no therapy for asymptomatic bacteriuria in institutionalized elderly women. Am J Med. 1987;83(1):27-33. https://doi.org/10.1016/0002-9343(87)90493-1
8. Zalmanovici Trestioreanu A, Lador A, Sauerbrun-Cutler MT, Leibovici L. Antibiotics for asymptomatic bacteriuria. Cochrane Database Syst Rev. 2015;4:CD009534. https://doi.org/10.1002/14651858.cd009534.pub2
9. Mayne S, Bowden A, Sundvall PD, Gunnarsson R. The scientific evidence for a potential link between confusion and urinary tract infection in the elderly is still confusing – a systematic literature review. BMC Geriatr. 2019;19(1):32. https://doi.org/10.1186/s12877-019-1049-7
10. Centers for Disease Control and Prevention. Urinary tract infection (catheter-associated urinary tract infection [CAUTI] and non-catheter-associated urinary tract infection [UTI]) events. In: National Health Safety Network (NHSN) Patient Safety Component Manual. 2021:7-5. Published January 2021. Accessed April 12, 2021. https://www.cdc.gov/nhsn/pdfs/pscmanual/pcsmanual_current.pdf
11. Gupta K, Grigoryan L, Trautner B. 2017. Urinary tract infection. Ann Intern Med. 2017;167(7):ITC49-ITC64. https://doi.org/10.7326/aitc201710030
12. Nicolle LE, Gupta K, Bradley SF, et al. 2019. Clinical practice guideline for the management of asymptomatic bacteriuria: 2019 update by the Infectious Diseases Society of America. Clin Infect Dis. 2019;68(10):1611-1615. https://doi.org/10.1093/cid/ciz021
13. Petty LA, Vaughn VM, Flanders SA, et al. Risk factors and outcomes associated with treatment of asymptomatic bacteriuria in hospitalized patients. JAMA Intern Med. 2019;179(11):1519-1527. https://doi.org/10.1001/jamainternmed.2019.2871
14. Dasgupta M, Brymer C, Elsayed S. 2017. Treatment of asymptomatic UTI in older delirious medical in-patients: a prospective cohort study. Arch Gerontol Geriatr. 2017;72:127-134. https://doi.org/10.1016/j.archger.2017.05.010
15. Pop-Vicas A, Mitchell SL, Kandel R, Schreiber R, D’Agata EMC. Multidrug-resistant gram-negative bacteria in a long-term care facility: prevalence and risk factors. J Am Geriatr Soc. 2008;56(7):1276-1280. https://doi.org/10.1111/j.1532-5415.2008.01787.x
16. Das R, Towle V, Van Ness PH, Juthani-Mehta M. 2011. Adverse outcomes in nursing home residents with increased episodes of observed bacteriuria. Infect Control Hosp Epidemiol. 2011;32(1):84-86. https://doi.org/10.1086/657664
17. American Board of Internal Medicine. Choosing Wisely. American Geriatrics Society. Antimicrobials to treat bacteriuria in older adults.” Published February 21, 2013. Accessed April 12, 2021. www.choosingwisely.org/clinician-lists/american-geriatrics-society-antimicrobials-to-treat-bacteriuria-in-older-adults/
18. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220. https://doi.org/10.1038/nrneurol.2009.24
19. 2019 American Geriatrics Society Beers Criteria Update Expert Panel. American Geriatrics Society 2019 update AGS Beers Criteria for potential inappropriate medication use in older adults. J Am Geriatr Soc. 2019;67(4):674-694. https://doi.org/10.1111/jgs.15767

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The authors have no conflicts to disclose.

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1Johns Hopkins University School of Medicine, Baltimore, Maryland; 2Johns Hopkins Bayview Medical Center, Baltimore, Maryland; 3University of Miami, Miller School of Medicine, Miami, Florida; 4Jackson Memorial Hospital, Miami, Florida.

Disclosures
The authors have no conflicts to disclose.

Author and Disclosure Information

1Johns Hopkins University School of Medicine, Baltimore, Maryland; 2Johns Hopkins Bayview Medical Center, Baltimore, Maryland; 3University of Miami, Miller School of Medicine, Miami, Florida; 4Jackson Memorial Hospital, Miami, Florida.

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The authors have no conflicts to disclose.

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Related Articles

Inspired by the ABIM Foundation’s Choosing Wisely® campaign, the “Things We Do for No Reason” (TWDFNR) series reviews practices that have become common parts of hospital care but may provide little value to our patients. Practices reviewed in the TWDFNR series do not represent clear-cut conclusions or clinical practice standards but are meant as a starting place for research and active discussions among hospitalists and patients. We invite you to be part of that discussion.

CLINICAL SCENARIO

A 78-year-old female nursing home resident presents to the emergency department for evaluation of a several-hour history of confusion and restlessness. The patient is accompanied by one of her caregivers from the nursing home. Initial evaluation reveals an awake but inattentive, disoriented, and agitated woman who can answer basic questions appropriately. The caregiver denies the patient having had any antecedent concerns, such as pain with urination, abdominal pain, subjective fevers, chills, or night sweats. Vital signs include a temperature of 37.5 °C (99.5 °F), heart rate of 90 beats per minute, blood pressure of 110/60 mm Hg, respiratory rate of 14 breaths per minute, and oxygen saturation of 98% on room air. The patient has a normal lung and abdominal exam without any suprapubic or flank tenderness. There is no Foley catheter in place.

BACKGROUND

Delirium, defined by the World Health Organization’s 10th revision of the International Classification of Diseases as “an etiologically nonspecific organic cerebral syndrome characterized by concurrent disturbances of consciousness and attention, perception, thinking, memory, psychomotor behavior, emotion, and the sleep-wake schedule,” is associated with poor clinical outcomes in older patients.1,2 Mental status changes, which can arise rapidly over the course of hours to days, often fluctuate, with most cases resolving within days of onset.3 In the United States, more than 2.6 million adults aged 65 years and older develop delirium each year, accounting for an estimated $38 to $152 billion in annual healthcare expenditures.4

WHY YOU MIGHT THINK URINE TESTING IS HELPFUL IN OLDER ADULTS WITH DELIRIUM WHO HAVE NO SIGNS OR SYMPTOMS OF URINARY TRACT INFECTION

Some clinicians believe that the evaluation for delirium should include an empiric urinary infectious workup with urinalysis and/or urine cultures, even in the absence of local genitourinary symptoms or other signs of infection. In fact, altered mental status is the most common indication for ordering a urine culture in older adult patients.5

Urinary tract infections (UTIs) account for almost 25% of all reported infections in older patients, with delirium occurring in up to 30% of this patient population.6 As one study demonstrated, given this population’s very high prevalence of asymptomatic bacteriuria (ASB), urine studies sent during a delirium work-up often yield positive findings (defined as ≥105 colony-forming units [CFU]/mL [≥108 CFU/L]) in older patients with no signs or symptoms attributable to UTI.7 The incidence of ASB increases significantly with age, with prevalence estimated to be between 6% and 10% in women older than 60 years and approximately 5% in men older than 65 years.5 Among older patients residing in long-term care facilities, up to 50% of female residents and up to 40% of male residents have ASB.8 These findings, in part, created the common perception of causation between UTI and delirium.

WHY YOU SHOULD NOT OBTAIN URINE TESTING IN OLDER ADULTS WITH DELIRIUM IF THEY HAVE NO SIGNS OR SYMPTOMS OF URINARY TRACT INFECTION

A recent systematic review demonstrated that there is insufficient evidence to associate UTI with acute confusion in older patients.9 The Centers for Disease Control and Prevention’s National Health Safety Network notes that at least one of the following criteria must be present for the diagnosis of UTI in noncatheterized patients: fever (>38 °C), suprapubic tenderness, costovertebral angle tenderness, urinary frequency, urinary urgency, or dysuria.10 Recent studies have identified that ASB—by definition, without dysuria, frequency, bladder discomfort, or fever—is an unlikely cause of delirium.6,11

The 2019 Infectious Diseases Society of America (IDSA) practice guidelines suggest that clinicians not screen for ASB in older functionally or cognitively impaired patients with no local genitourinary symptoms or other signs of infection. The IDSA acknowledges that the potential adverse outcomes of antimicrobial therapy, including Clostridioides difficile infection, increased antimicrobial resistance, or adverse drug effects, outweigh the potential benefit of treatment given the absence of evidence that such treatment improves outcomes for this vulnerable patient population (strong recommendation, very low-quality evidence).12 Per the IDSA guidelines, recommendations are strong when there is “moderate- or high-quality evidence that the desirable consequences outweigh the undesirable consequences for a course of action” and “may also be strong when there is high-quality evidence of harm and benefits are uncertain (ie, low or very low quality),” as in this case scenario. Studies of older institutionalized and hospitalized patients have found that ASB often results in inappropriate antimicrobial use with limited benefit.7,13,14 In addition to noting the lack of benefit from treatment, these studies have found that these patients treated with antimicrobials have worse outcomes when compared to untreated patients with ASB. One study of hospitalized patients treated for ASB concluded that participants given antimicrobial agents experienced longer durations of hospitalization, with no benefits from treatment.13 Moreover, another study identified poor long-term functional recovery in patients treated for ASB.14

Overtreatment also has public health implications given that it may increase the prevalence of multidrug-resistant bacteria in long-term care facilities.15 One recent study of nursing home residents demonstrated an association between bacteriuria, increased antibiotic use, and subsequent isolation of multidrug-resistant gram-negative organisms.16 The increased prevalence of these organisms limits options for oral antibiotic therapies in the outpatient setting, potentially leading to increased healthcare utilization and further harms relating to institutionalization in this vulnerable patient population. In light of the ethical concept of nonmaleficence, recognizing the potential harms of treating ASB without clear benefit is important for clinicians to take into account when considering urinalysis in this patient population.

In addition, obtaining a urine culture in an older patient with no signs or symptoms of UTI may lead to premature closure from a diagnostic perspective, resulting in missed diagnoses during clinical evaluation. A missed alternative diagnosis could then cause additional, ongoing harm to the patient if left untreated. Subsequent harms from delayed treatment can thus compound the direct harms and added costs incurred by inappropriate testing and treatment of patients with delirium.

Since 2013, the American Geriatrics Society (AGS) has recommended against the use of antimicrobials in older patients with no urinary tract symptoms, stating that “Antimicrobial treatment studies for asymptomatic bacteriuria in older adults demonstrate no benefits and show increased adverse antimicrobial effects.”17 The IDSA practice guidelines state the following: “In older patients with functional and/or cognitive impairment with bacteriuria and delirium (acute mental status change, confusion) and without local genitourinary symptoms or other systemic signs of infection (eg, fever or hemodynamic instability), we recommend assessment for other causes and careful observation rather than antimicrobial treatment (strong recommendation, very low-quality evidence).”12

WHEN YOU SHOULD OBTAIN URINALYSIS FOR OLDER ADULTS WITH DELIRIUM

Older patients presenting with confusion in the setting of recognized symptoms of UTI (eg, acute dysuria, urinary urgency or frequency) warrant urinalysis and urine culture. Additionally, urinalysis and urine cultures may be warranted to assess for UTI—even in the absence of a localizing source—in older patients with signs and symptoms of delirium who also exhibit systemic signs of infection (eg, fever, leukocytosis, hemodynamic instability).12

WHAT YOU SHOULD DO INSTEAD

Initial evaluation of an older patient with delirium should include a thorough review of their recent history and baseline mental status with a knowledgeable informant, a careful physical and neurologic examination, and laboratory studies to determine the presence of electrolyte or metabolic derangements as well as infection and organ failure.4 Clinicians should take into account nonmodifiable risk factors for delirium and conduct a careful review of the time course of changes in mental status and modifiable risk factors, including environment, sleep deprivation, medications, immobilization, and sensory impairments.18

To manage delirium in older patients, clinicians should identify reversible causes of the delirium and minimize modifiable exacerbating factors (eg, sensory impairment, sleep deprivation) in the immediate environment of the patient. They should also carefully review medications that may contribute to delirium, using tools such as the AGS Beers Criteria to identify high-risk medications and concerning medication combinations.19 Patients who develop local or systemic signs of infection (ie, fevers, chills, dysuria) should undergo appropriate testing, including urinalysis if there is clinical suspicion for urinary etiology.

RECOMMENDATIONS

  • For older patients presenting with delirium without localized urinary symptoms or systemic signs of a serious infection, forgo routine ordering of urinalysis and urine culture.
  • For older patients presenting with delirium and localized or systemic signs of infection, routine urine studies and antimicrobial therapy may be appropriate.
  • For older patients presenting with delirium without localized symptoms or systemic signs of serious infection, attempt to first identify the cause of the change in mental status by obtaining history from a reliable informant, performing a thorough physical and neurologic examination, and evaluating for metabolic and electrolyte derangements.

CONCLUSION

Returning to the clinical scenario, older patients presenting with signs and symptoms of delirium should undergo further work-up to determine underlying causes for their altered mental status. The patient’s history, ideally obtained from a knowledgeable informant, should offer insight into her baseline mental status and risk factors for delirium. This should be followed by a careful physical and neurologic examination, and evaluation for electrolyte, metabolic, and other derangements. In patients without localized or systemic signs of infection, routine urine testing and treatment of bacteriuria should be avoided.

Do you think this is a low-value practice? Is this truly a “Thing We Do for No Reason”? Share what you do in your practice and join in the conversation online by retweeting it on Twitter (#TWDFNR) and liking it on Facebook. We invite you to pro­pose ideas for other “Things We Do for No Reason" topics by emailing TWDFNR@hospitalmedicine.org

Inspired by the ABIM Foundation’s Choosing Wisely® campaign, the “Things We Do for No Reason” (TWDFNR) series reviews practices that have become common parts of hospital care but may provide little value to our patients. Practices reviewed in the TWDFNR series do not represent clear-cut conclusions or clinical practice standards but are meant as a starting place for research and active discussions among hospitalists and patients. We invite you to be part of that discussion.

CLINICAL SCENARIO

A 78-year-old female nursing home resident presents to the emergency department for evaluation of a several-hour history of confusion and restlessness. The patient is accompanied by one of her caregivers from the nursing home. Initial evaluation reveals an awake but inattentive, disoriented, and agitated woman who can answer basic questions appropriately. The caregiver denies the patient having had any antecedent concerns, such as pain with urination, abdominal pain, subjective fevers, chills, or night sweats. Vital signs include a temperature of 37.5 °C (99.5 °F), heart rate of 90 beats per minute, blood pressure of 110/60 mm Hg, respiratory rate of 14 breaths per minute, and oxygen saturation of 98% on room air. The patient has a normal lung and abdominal exam without any suprapubic or flank tenderness. There is no Foley catheter in place.

BACKGROUND

Delirium, defined by the World Health Organization’s 10th revision of the International Classification of Diseases as “an etiologically nonspecific organic cerebral syndrome characterized by concurrent disturbances of consciousness and attention, perception, thinking, memory, psychomotor behavior, emotion, and the sleep-wake schedule,” is associated with poor clinical outcomes in older patients.1,2 Mental status changes, which can arise rapidly over the course of hours to days, often fluctuate, with most cases resolving within days of onset.3 In the United States, more than 2.6 million adults aged 65 years and older develop delirium each year, accounting for an estimated $38 to $152 billion in annual healthcare expenditures.4

WHY YOU MIGHT THINK URINE TESTING IS HELPFUL IN OLDER ADULTS WITH DELIRIUM WHO HAVE NO SIGNS OR SYMPTOMS OF URINARY TRACT INFECTION

Some clinicians believe that the evaluation for delirium should include an empiric urinary infectious workup with urinalysis and/or urine cultures, even in the absence of local genitourinary symptoms or other signs of infection. In fact, altered mental status is the most common indication for ordering a urine culture in older adult patients.5

Urinary tract infections (UTIs) account for almost 25% of all reported infections in older patients, with delirium occurring in up to 30% of this patient population.6 As one study demonstrated, given this population’s very high prevalence of asymptomatic bacteriuria (ASB), urine studies sent during a delirium work-up often yield positive findings (defined as ≥105 colony-forming units [CFU]/mL [≥108 CFU/L]) in older patients with no signs or symptoms attributable to UTI.7 The incidence of ASB increases significantly with age, with prevalence estimated to be between 6% and 10% in women older than 60 years and approximately 5% in men older than 65 years.5 Among older patients residing in long-term care facilities, up to 50% of female residents and up to 40% of male residents have ASB.8 These findings, in part, created the common perception of causation between UTI and delirium.

WHY YOU SHOULD NOT OBTAIN URINE TESTING IN OLDER ADULTS WITH DELIRIUM IF THEY HAVE NO SIGNS OR SYMPTOMS OF URINARY TRACT INFECTION

A recent systematic review demonstrated that there is insufficient evidence to associate UTI with acute confusion in older patients.9 The Centers for Disease Control and Prevention’s National Health Safety Network notes that at least one of the following criteria must be present for the diagnosis of UTI in noncatheterized patients: fever (>38 °C), suprapubic tenderness, costovertebral angle tenderness, urinary frequency, urinary urgency, or dysuria.10 Recent studies have identified that ASB—by definition, without dysuria, frequency, bladder discomfort, or fever—is an unlikely cause of delirium.6,11

The 2019 Infectious Diseases Society of America (IDSA) practice guidelines suggest that clinicians not screen for ASB in older functionally or cognitively impaired patients with no local genitourinary symptoms or other signs of infection. The IDSA acknowledges that the potential adverse outcomes of antimicrobial therapy, including Clostridioides difficile infection, increased antimicrobial resistance, or adverse drug effects, outweigh the potential benefit of treatment given the absence of evidence that such treatment improves outcomes for this vulnerable patient population (strong recommendation, very low-quality evidence).12 Per the IDSA guidelines, recommendations are strong when there is “moderate- or high-quality evidence that the desirable consequences outweigh the undesirable consequences for a course of action” and “may also be strong when there is high-quality evidence of harm and benefits are uncertain (ie, low or very low quality),” as in this case scenario. Studies of older institutionalized and hospitalized patients have found that ASB often results in inappropriate antimicrobial use with limited benefit.7,13,14 In addition to noting the lack of benefit from treatment, these studies have found that these patients treated with antimicrobials have worse outcomes when compared to untreated patients with ASB. One study of hospitalized patients treated for ASB concluded that participants given antimicrobial agents experienced longer durations of hospitalization, with no benefits from treatment.13 Moreover, another study identified poor long-term functional recovery in patients treated for ASB.14

Overtreatment also has public health implications given that it may increase the prevalence of multidrug-resistant bacteria in long-term care facilities.15 One recent study of nursing home residents demonstrated an association between bacteriuria, increased antibiotic use, and subsequent isolation of multidrug-resistant gram-negative organisms.16 The increased prevalence of these organisms limits options for oral antibiotic therapies in the outpatient setting, potentially leading to increased healthcare utilization and further harms relating to institutionalization in this vulnerable patient population. In light of the ethical concept of nonmaleficence, recognizing the potential harms of treating ASB without clear benefit is important for clinicians to take into account when considering urinalysis in this patient population.

In addition, obtaining a urine culture in an older patient with no signs or symptoms of UTI may lead to premature closure from a diagnostic perspective, resulting in missed diagnoses during clinical evaluation. A missed alternative diagnosis could then cause additional, ongoing harm to the patient if left untreated. Subsequent harms from delayed treatment can thus compound the direct harms and added costs incurred by inappropriate testing and treatment of patients with delirium.

Since 2013, the American Geriatrics Society (AGS) has recommended against the use of antimicrobials in older patients with no urinary tract symptoms, stating that “Antimicrobial treatment studies for asymptomatic bacteriuria in older adults demonstrate no benefits and show increased adverse antimicrobial effects.”17 The IDSA practice guidelines state the following: “In older patients with functional and/or cognitive impairment with bacteriuria and delirium (acute mental status change, confusion) and without local genitourinary symptoms or other systemic signs of infection (eg, fever or hemodynamic instability), we recommend assessment for other causes and careful observation rather than antimicrobial treatment (strong recommendation, very low-quality evidence).”12

WHEN YOU SHOULD OBTAIN URINALYSIS FOR OLDER ADULTS WITH DELIRIUM

Older patients presenting with confusion in the setting of recognized symptoms of UTI (eg, acute dysuria, urinary urgency or frequency) warrant urinalysis and urine culture. Additionally, urinalysis and urine cultures may be warranted to assess for UTI—even in the absence of a localizing source—in older patients with signs and symptoms of delirium who also exhibit systemic signs of infection (eg, fever, leukocytosis, hemodynamic instability).12

WHAT YOU SHOULD DO INSTEAD

Initial evaluation of an older patient with delirium should include a thorough review of their recent history and baseline mental status with a knowledgeable informant, a careful physical and neurologic examination, and laboratory studies to determine the presence of electrolyte or metabolic derangements as well as infection and organ failure.4 Clinicians should take into account nonmodifiable risk factors for delirium and conduct a careful review of the time course of changes in mental status and modifiable risk factors, including environment, sleep deprivation, medications, immobilization, and sensory impairments.18

To manage delirium in older patients, clinicians should identify reversible causes of the delirium and minimize modifiable exacerbating factors (eg, sensory impairment, sleep deprivation) in the immediate environment of the patient. They should also carefully review medications that may contribute to delirium, using tools such as the AGS Beers Criteria to identify high-risk medications and concerning medication combinations.19 Patients who develop local or systemic signs of infection (ie, fevers, chills, dysuria) should undergo appropriate testing, including urinalysis if there is clinical suspicion for urinary etiology.

RECOMMENDATIONS

  • For older patients presenting with delirium without localized urinary symptoms or systemic signs of a serious infection, forgo routine ordering of urinalysis and urine culture.
  • For older patients presenting with delirium and localized or systemic signs of infection, routine urine studies and antimicrobial therapy may be appropriate.
  • For older patients presenting with delirium without localized symptoms or systemic signs of serious infection, attempt to first identify the cause of the change in mental status by obtaining history from a reliable informant, performing a thorough physical and neurologic examination, and evaluating for metabolic and electrolyte derangements.

CONCLUSION

Returning to the clinical scenario, older patients presenting with signs and symptoms of delirium should undergo further work-up to determine underlying causes for their altered mental status. The patient’s history, ideally obtained from a knowledgeable informant, should offer insight into her baseline mental status and risk factors for delirium. This should be followed by a careful physical and neurologic examination, and evaluation for electrolyte, metabolic, and other derangements. In patients without localized or systemic signs of infection, routine urine testing and treatment of bacteriuria should be avoided.

Do you think this is a low-value practice? Is this truly a “Thing We Do for No Reason”? Share what you do in your practice and join in the conversation online by retweeting it on Twitter (#TWDFNR) and liking it on Facebook. We invite you to pro­pose ideas for other “Things We Do for No Reason" topics by emailing TWDFNR@hospitalmedicine.org

References

1. World Health Organization. 2018 International Classification of Diseases for Mortality and Morbidity Statistics. 11th Rev. Published September 20, 2020. Accessed April 12, 2021. https://icd.who.int/browse10/2019/en#/F04
2. Witlox J, Eurelings LS, de Jonghe JFM, Kalisvaart KJ, Eikelenboom P, van Gool WA. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization and dementia: a meta-analysis. JAMA. 2010;304(4):443-451. https://doi.org/10.1001/jama.2010.1013
3. Young J, Inouye SK. Delirium in older people. BMJ. 2007;334(7598):842-846. https://doi.org/10.1136/bmj.39169.706574.ad
4. Oh ES, Fong TG, Hshieh TT, Inouye SK. Delirium in older persons: advances in diagnosis and treatment. JAMA. 2017;318(12):1161-1174. https://doi.org/10.1001/jama.2017.12067
5. R McKenzie, M Stewart, M. Bellantoni, TE Finucane. Bacteriuria in Individuals who become delirious. Am J Med. 2014;127(4):255-257. https://doi.org/10.1016/j.amjmed.2013.10.016
6. Balogun S, Philbrick JT. Delirium, a symptom of UTI in the elderly: fact or fable? A systematic review. Can Geriatr J. 2013;17(1):22-26. https://doi.org/10.5770/cgj.17.90
7. Nicolle LE, Mayhew WJ, Bryan L. Prospective randomized comparison of therapy and no therapy for asymptomatic bacteriuria in institutionalized elderly women. Am J Med. 1987;83(1):27-33. https://doi.org/10.1016/0002-9343(87)90493-1
8. Zalmanovici Trestioreanu A, Lador A, Sauerbrun-Cutler MT, Leibovici L. Antibiotics for asymptomatic bacteriuria. Cochrane Database Syst Rev. 2015;4:CD009534. https://doi.org/10.1002/14651858.cd009534.pub2
9. Mayne S, Bowden A, Sundvall PD, Gunnarsson R. The scientific evidence for a potential link between confusion and urinary tract infection in the elderly is still confusing – a systematic literature review. BMC Geriatr. 2019;19(1):32. https://doi.org/10.1186/s12877-019-1049-7
10. Centers for Disease Control and Prevention. Urinary tract infection (catheter-associated urinary tract infection [CAUTI] and non-catheter-associated urinary tract infection [UTI]) events. In: National Health Safety Network (NHSN) Patient Safety Component Manual. 2021:7-5. Published January 2021. Accessed April 12, 2021. https://www.cdc.gov/nhsn/pdfs/pscmanual/pcsmanual_current.pdf
11. Gupta K, Grigoryan L, Trautner B. 2017. Urinary tract infection. Ann Intern Med. 2017;167(7):ITC49-ITC64. https://doi.org/10.7326/aitc201710030
12. Nicolle LE, Gupta K, Bradley SF, et al. 2019. Clinical practice guideline for the management of asymptomatic bacteriuria: 2019 update by the Infectious Diseases Society of America. Clin Infect Dis. 2019;68(10):1611-1615. https://doi.org/10.1093/cid/ciz021
13. Petty LA, Vaughn VM, Flanders SA, et al. Risk factors and outcomes associated with treatment of asymptomatic bacteriuria in hospitalized patients. JAMA Intern Med. 2019;179(11):1519-1527. https://doi.org/10.1001/jamainternmed.2019.2871
14. Dasgupta M, Brymer C, Elsayed S. 2017. Treatment of asymptomatic UTI in older delirious medical in-patients: a prospective cohort study. Arch Gerontol Geriatr. 2017;72:127-134. https://doi.org/10.1016/j.archger.2017.05.010
15. Pop-Vicas A, Mitchell SL, Kandel R, Schreiber R, D’Agata EMC. Multidrug-resistant gram-negative bacteria in a long-term care facility: prevalence and risk factors. J Am Geriatr Soc. 2008;56(7):1276-1280. https://doi.org/10.1111/j.1532-5415.2008.01787.x
16. Das R, Towle V, Van Ness PH, Juthani-Mehta M. 2011. Adverse outcomes in nursing home residents with increased episodes of observed bacteriuria. Infect Control Hosp Epidemiol. 2011;32(1):84-86. https://doi.org/10.1086/657664
17. American Board of Internal Medicine. Choosing Wisely. American Geriatrics Society. Antimicrobials to treat bacteriuria in older adults.” Published February 21, 2013. Accessed April 12, 2021. www.choosingwisely.org/clinician-lists/american-geriatrics-society-antimicrobials-to-treat-bacteriuria-in-older-adults/
18. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220. https://doi.org/10.1038/nrneurol.2009.24
19. 2019 American Geriatrics Society Beers Criteria Update Expert Panel. American Geriatrics Society 2019 update AGS Beers Criteria for potential inappropriate medication use in older adults. J Am Geriatr Soc. 2019;67(4):674-694. https://doi.org/10.1111/jgs.15767

References

1. World Health Organization. 2018 International Classification of Diseases for Mortality and Morbidity Statistics. 11th Rev. Published September 20, 2020. Accessed April 12, 2021. https://icd.who.int/browse10/2019/en#/F04
2. Witlox J, Eurelings LS, de Jonghe JFM, Kalisvaart KJ, Eikelenboom P, van Gool WA. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization and dementia: a meta-analysis. JAMA. 2010;304(4):443-451. https://doi.org/10.1001/jama.2010.1013
3. Young J, Inouye SK. Delirium in older people. BMJ. 2007;334(7598):842-846. https://doi.org/10.1136/bmj.39169.706574.ad
4. Oh ES, Fong TG, Hshieh TT, Inouye SK. Delirium in older persons: advances in diagnosis and treatment. JAMA. 2017;318(12):1161-1174. https://doi.org/10.1001/jama.2017.12067
5. R McKenzie, M Stewart, M. Bellantoni, TE Finucane. Bacteriuria in Individuals who become delirious. Am J Med. 2014;127(4):255-257. https://doi.org/10.1016/j.amjmed.2013.10.016
6. Balogun S, Philbrick JT. Delirium, a symptom of UTI in the elderly: fact or fable? A systematic review. Can Geriatr J. 2013;17(1):22-26. https://doi.org/10.5770/cgj.17.90
7. Nicolle LE, Mayhew WJ, Bryan L. Prospective randomized comparison of therapy and no therapy for asymptomatic bacteriuria in institutionalized elderly women. Am J Med. 1987;83(1):27-33. https://doi.org/10.1016/0002-9343(87)90493-1
8. Zalmanovici Trestioreanu A, Lador A, Sauerbrun-Cutler MT, Leibovici L. Antibiotics for asymptomatic bacteriuria. Cochrane Database Syst Rev. 2015;4:CD009534. https://doi.org/10.1002/14651858.cd009534.pub2
9. Mayne S, Bowden A, Sundvall PD, Gunnarsson R. The scientific evidence for a potential link between confusion and urinary tract infection in the elderly is still confusing – a systematic literature review. BMC Geriatr. 2019;19(1):32. https://doi.org/10.1186/s12877-019-1049-7
10. Centers for Disease Control and Prevention. Urinary tract infection (catheter-associated urinary tract infection [CAUTI] and non-catheter-associated urinary tract infection [UTI]) events. In: National Health Safety Network (NHSN) Patient Safety Component Manual. 2021:7-5. Published January 2021. Accessed April 12, 2021. https://www.cdc.gov/nhsn/pdfs/pscmanual/pcsmanual_current.pdf
11. Gupta K, Grigoryan L, Trautner B. 2017. Urinary tract infection. Ann Intern Med. 2017;167(7):ITC49-ITC64. https://doi.org/10.7326/aitc201710030
12. Nicolle LE, Gupta K, Bradley SF, et al. 2019. Clinical practice guideline for the management of asymptomatic bacteriuria: 2019 update by the Infectious Diseases Society of America. Clin Infect Dis. 2019;68(10):1611-1615. https://doi.org/10.1093/cid/ciz021
13. Petty LA, Vaughn VM, Flanders SA, et al. Risk factors and outcomes associated with treatment of asymptomatic bacteriuria in hospitalized patients. JAMA Intern Med. 2019;179(11):1519-1527. https://doi.org/10.1001/jamainternmed.2019.2871
14. Dasgupta M, Brymer C, Elsayed S. 2017. Treatment of asymptomatic UTI in older delirious medical in-patients: a prospective cohort study. Arch Gerontol Geriatr. 2017;72:127-134. https://doi.org/10.1016/j.archger.2017.05.010
15. Pop-Vicas A, Mitchell SL, Kandel R, Schreiber R, D’Agata EMC. Multidrug-resistant gram-negative bacteria in a long-term care facility: prevalence and risk factors. J Am Geriatr Soc. 2008;56(7):1276-1280. https://doi.org/10.1111/j.1532-5415.2008.01787.x
16. Das R, Towle V, Van Ness PH, Juthani-Mehta M. 2011. Adverse outcomes in nursing home residents with increased episodes of observed bacteriuria. Infect Control Hosp Epidemiol. 2011;32(1):84-86. https://doi.org/10.1086/657664
17. American Board of Internal Medicine. Choosing Wisely. American Geriatrics Society. Antimicrobials to treat bacteriuria in older adults.” Published February 21, 2013. Accessed April 12, 2021. www.choosingwisely.org/clinician-lists/american-geriatrics-society-antimicrobials-to-treat-bacteriuria-in-older-adults/
18. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220. https://doi.org/10.1038/nrneurol.2009.24
19. 2019 American Geriatrics Society Beers Criteria Update Expert Panel. American Geriatrics Society 2019 update AGS Beers Criteria for potential inappropriate medication use in older adults. J Am Geriatr Soc. 2019;67(4):674-694. https://doi.org/10.1111/jgs.15767

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A Longitudinal Analysis of Functional Disability, Recovery, and Nursing Home Utilization After Hospitalization for Ambulatory Care Sensitive Conditions Among Community-Living Older Persons

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A Longitudinal Analysis of Functional Disability, Recovery, and Nursing Home Utilization After Hospitalization for Ambulatory Care Sensitive Conditions Among Community-Living Older Persons

Acute illnesses requiring hospitalization serve as a sentinel event, with many older adults requiring assistance with activities of daily living (ADLs) upon discharge.1-3 Older adults who are frail experience even higher rates of hospital-associated disability, and rates of recovery to baseline functional status have varied.4,5 Loss of independence in ADLs has been associated with nursing home (NH) utilization, caregiver burden, and mortality.6

To date, studies have characterized functional trajectories before and after hospitalization in older persons for broad medical conditions, noting persistence of disability and incomplete recovery to baseline functional status.7 Prior evaluations have also noted the long-term disabling impact of critical conditions such as acute myocardial infarction, stroke, and sepsis,8,9 but a knowledge gap exists regarding the subsequent functional disability, recovery, and incident NH admission among older persons who are hospitalized for ambulatory care sensitive conditions (ACSCs). Often considered potentially preventable with optimal ambulatory care,10,11 ACSCs represent acute, chronic, and vaccine-preventable conditions, including urinary tract infection, congestive heart failure, diabetes mellitus, and pneumonia. Investigating the aforementioned patient-centered measures post hospitalization could provide valuable supporting evidence for the continued recognition of ACSC-related hospitalizations in national quality payment programs set forth by the Centers for Medicare & Medicaid Services (CMS).12 Demonstrating adverse outcomes after ACSC-related hospitalizations may help support interventions that target potentially preventable ACSC-related hospitalizations, such as home-based care or telehealth, with the goal of improving functional outcomes and reducing NH admission in older persons.

To address these gaps, we evaluated ACSC-related hospitalizations among participants of the Precipitating Events Project (PEP), a 19-year longitudinal study of community-living persons who were initially nondisabled in their basic functional activities. In the 6 months following an ACSC-related hospitalization, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident NH admission.

METHODS

Study Population

Participants were drawn from the PEP study, an ongoing, prospective, longitudinal study of 754 community-dwelling persons aged 70 years or older.13 Potential participants were members of a large health plan in greater New Haven, Connecticut, and were enrolled from March 1998 through October 1999. As previously described,14 persons were oversampled if they were physically frail, as denoted by a timed score >10 seconds on the rapid gait test. Exclusion criteria included significant cognitive impairment with no available proxy, life expectancy less than 12 months, plans to leave the area, and inability to speak English. Participants were initially required to be nondisabled in four basic activities of daily living (bathing, dressing, walking across a room, and transferring from a chair). Eligibility was determined during a screening telephone interview and was confirmed during an in-home assessment. Of the eligible members, 75.2% agreed to participate in the project, and persons who declined to participate did not significantly differ in age or sex from those who were enrolled. The Yale Human Investigation Committee approved the study protocol, and all participants provided verbal informed consent.

Data Collection

From 1998 to 2017, comprehensive home-based assessments were completed by trained research nurses at baseline and at 18-month intervals over 234 months (except at 126 months), and telephone interviews were completed monthly through June 2018, to obtain information on disability over time. For participants who had significant cognitive impairment or who were unavailable, we interviewed a proxy informant using a rigorous protocol with demonstrated reliability and validity.14 All incident NH admissions, including both short- and long-term stays, were identified using the CMS Skilled Nursing Facility claims file and Long Term Care Minimum Data Set. Deaths were ascertained by review of obituaries and/or from a proxy informant, with a completion rate of 100%. A total of 688 participants (91.2%) had died after a median follow-up of 108 months, while 43 participants (5.7%) dropped out of the study after a median follow-up of 27 months. Among all participants, data were otherwise available for 99.2% of 85,531 monthly telephone interviews.

Assembly of Analytic Sample

PEP participants were considered for inclusion in the analytic sample if they had a hospitalization with an ACSC as the primary diagnosis on linked Medicare claims data. The complete list of ACSCs was defined using specifications from the Agency for Healthcare Research and Quality,15 and was assembled using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) classification prior to October 1, 2015, and ICD Tenth Revision, Clinical Modification (ICD-10-CM) classification after October 1, 2015 (Appendix Table 1). Examples of ACSCs include congestive heart failure, dehydration, urinary tract infection, and angina without procedure. As performed previously,16,17 two ACSCs (low birthweight; asthma in younger adults 18-39 years) were not included in this analysis because they were not based on full adult populations.

ACSC-related hospitalizations were included through December 2017. Participants could contribute more than one ACSC-related hospitalization over the course of the study based on the following criteria: (1) participant did not have a prior non-ACSC-related hospitalization within an 18-month interval; (2) participant did not have a prior ACSC-related hospitalization or treat-and-release emergency department (ED) visit within an 18-month interval (to ensure independence of observations if the participant was still recovering from the prior event and because some of the characteristics within Table 1 are susceptible to change in the setting of an intervening event and, hence, would not accurately reflect the status of the participant prior to ACSC-related hospitalization); (3) participant was not admitted from a NH; (4) participant did not have an in-hospital intensive care unit (ICU) stay (because persons with critical illness are a distinct population with frequent disability and prolonged recovery, as previously described18), in-hospital death, or death before first follow-up interview (because our aim was to evaluate disability and recovery after the hospitalization7).

Characteristics From the Comprehensive Assessment Immediately Prior to ACSC-Related Hospitalization

Assembly of the primary analytic sample is depicted in the Appendix Figure. Of the 814 patients who were identified with ACSC-related hospitalizations, 107 had a prior non-ACSC-related hospitalization and 275 had a prior ACSC-related hospitalization or a treat-and-release ED visit within an 18-month interval. Of the remaining 432 ACSC-related hospitalizations, 181 were excluded: 114 patients were admitted from a NH, 38 had an in-hospital ICU stay, 3 died in the hospital, 11 died before their first follow-up interview, and 15 had withdrawn from the study. The primary analytic sample included the remaining 251 ACSC-related hospitalizations, contributed by 196 participants. Specifically, nine participants contributed three ACSC-related hospitalizations each, 37 participants contributed two hospitalizations each, and the remaining 150 participants contributed one hospitalization each. During the 6-month follow-up period, 40 participants contributing ACSC-related hospitalizations died after a median (interquartile range [IQR]) of 4 (2-5) months, and 1 person refused continued participation.

Comprehensive Assessments

During the comprehensive in-home assessments, data were obtained on demographic characteristics. Age was measured in years at the time of the ACSC-related hospitalization. In addition, we describe factors from the comprehensive assessment immediately prior to the ACSC-related hospitalization, grouped into two additional domains related to disability19: health-related and cognitive-psychosocial. The health-related factors included nine self-reported, physician-diagnosed chronic conditions and frailty. The cognitive-psychosocial factors included social support, cognitive impairment, and depressive symptoms.

Assessment of Disability

Complete details about the assessment of disability have been previously described.13,14,19,20 Briefly, disability was assessed during the monthly telephone interviews, and included four basic activities (bathing, dressing, walking across a room, and transferring from a chair), five instrumental activities (shopping, housework, meal preparation, taking medications, and managing finances), and three mobility activities (walking a quarter mile, climbing a flight of stairs, and lifting or carrying 10 lb). Participants were asked, “At the present time, do you need help from another person to [complete the task]?” Disability was operationalized as the need for personal assistance or an inability to perform the task. Participants were also asked about a fourth mobility activity, “Have you driven a car during the past month?” Those who responded no were classified as being disabled in driving.19

The number of disabilities overall and for each functional domain (basic, instrumental, and mobility) was summed. Possible disability scores ranged from 0 to 13, with a score of 0 indicating complete independence in all of the items, and a score of 13 indicating complete dependence. Worse postdischarge disability was defined as a total disability score (0-13) at the first telephone interview after an ACSC-related hospitalization that was greater than the total disability score from the telephone interview immediately preceding hospitalization.

Outcome Measures

The primary outcome was the number of disabilities in all 13 basic, instrumental, and mobility activities in each of the 6 months following discharge from an ACSC-related hospitalization. To determine whether our findings were consistent across the three functional domains, we also evaluated the number of disabilities in the four basic, five instrumental, and four mobility activities separately. As secondary outcomes, we evaluated: (1) the cumulative probability of recovery within the 6-month follow-up time frame after an ACSC-related hospitalization, with “recovery” defined as return to the participant’s pre-ACSC-related hospitalization total disability score, and (2) the cumulative probability of incident NH admission within the 6 months after an ACSC-related hospitalization. Aligned with CMS and prior literature,21,22 we defined a short-term NH stay as ≤100 days and a long-term NH stay as >100 days.

Statistical Analysis

Pre-ACSC-related hospitalization characteristics were summarized by means (SDs) and frequencies with proportions. We determined the mean number of disabilities in each of the 6 months following hospital discharge, with the prehospitalization value included as a reference point. We also determined the mean (SD) number of disabilities for the three subscales of disability (basic activities of daily living [BADLs], instrumental activities of daily living [IADLs], and mobility activities). We calculated the cumulative probability of recovery within 6 months of hospital discharge. Finally, we determined the cumulative probability of incident NH admission during the 6 months after hospital discharge.

To test the robustness of our main results, we conducted a sensitivity analysis assessing disability scores of the 150 participants that contributed only one ACSC-related hospitalization. All analyses were performed using Stata, version 16.0, statistical software (StataCorp).

RESULTS

Table 1 shows the characteristics of the 251 ACSC-related hospitalizations immediately prior to hospitalization. Participants’ mean (SD) age was 85.1 (6.0) years, and the mean total disability score was 5.4. The majority were female, non-Hispanic White, frail, and lived alone. As shown in Appendix Table 2, the three most common reasons for ACSC-related hospitalizations were congestive heart failure (n = 69), bacterial pneumonia (n = 53), and dehydration (n = 44).

The Figure shows the disability scores during the 6-month follow-up period for total, basic, instrumental, and mobility activities, in panels A, B, C, and D, respectively. The exact values are provided in Appendix Table 3. After hospitalization, disability scores for total, basic, instrumental, and mobility activities peaked at month 1 and tended to improve modestly over the next 5 months, but remained greater, on average, than pre-hospitalization scores. Of the 40 participants who died within the 6-month follow-up period, 36 (90%) had worse disability scores in their last month of life than in the month prior to their ACSC-related hospitalization.

Table 2 shows the cumulative probability of functional recovery after ACSC-related hospitalizations. Recovery was incomplete, with only 70% (95% CI, 64%-76%) of hospitalizations achieving a return to the pre-hospitalization total disability score within 6 months of hospitalization.

Cumulative Monthly Probability of Recovery to Pre-ACSC-Related Hospitalization Functional Status

Table 3 shows the cumulative probability of incident NH admission after an ACSC-related hospitalization. Of the 251 ACSC-related hospitalizations, incident NH admission was experienced by 38% (95% CI, 32%-44%) within 1 month and 50% (95% CI, 43%-56%) within 6 months of discharge. Short-term NH stays accounted for 90 (75.6%) of the 119 incident NH admissions within the 6 months after ACSC-related hospitalizations. Sensitivity analyses yielded comparable disability scores, shown in Appendix Table 4.

DISCUSSION

In this longitudinal study of community-living older persons, we evaluated functional disability, recovery, and incident NH admission within 6 months of hospitalization for an ACSC. Our study has three major findings. First, disability scores for total, basic, instrumental, and mobility activities at months 1 to 6 of follow-up were greater on average than pre-hospitalization scores. Second, functional recovery was not achieved by 3 of 10 participants after an ACSC-related hospitalization. Third, half of them experienced an incident NH admission within 6 months of discharge from an ACSC-related hospitalization, although about three-quarters of these were short-term stays. Our findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.

Prior research involving ACSCs has focused largely on rates of hospitalization as a measure of access to primary care and the associated factors predictive of ACSC-related hospitalizations,23-26 and has not addressed subsequent patient-reported outcomes. The findings in this analysis highlight that older persons experience worsening disability immediately after an ACSC-related hospitalization, which persists for prolonged periods and often results in incomplete recovery. Prior research has assessed pre-hospitalization functional status through retrospective recall approaches,2 included only older adults discharged with incident disability,3 and examined functional status after all-cause medical illness hospitalizations.5 Our prospective analysis extends the literature by reliably capturing pre-hospital disability scores and uniquely assessing the cohort of older persons hospitalized with ACSCs.

Our work is relevant to the continued evaluation of ACSC-related hospitalizations in national quality measurement and payment initiatives among Medicare beneficiaries. In prior evaluations of ACSC-related quality measures, stakeholders have criticized the measures for limited validity due to a lack of evidence linking each utilization outcome to other patient-centered outcomes.10,27 Our work addresses this gap by demonstrating that ACSC-related hospitalizations are linked to persistent disability, incomplete functional recovery, and incident NH admissions. Given the large body of evidence demonstrating the priority older persons place on these patient-reported outcomes,28,29 our work should reassure policymakers seeking to transform quality measurement programs into a more patient-oriented enterprise.

Our findings have several clinical practice, research, and policy implications. First, more-effective clinical strategies to minimize the level of care required for acute exacerbations of ACSC-related illnesses may include: (1) substituting home-based care30 and telehealth interventions31 for traditional inpatient hospitalization, (2) making in-ED resources (ie, case management services, geriatric-focused advanced practice providers) more accessible for older persons with ACSC-related illnesses, thereby enhancing care transitions and follow-up to avoid potential current and subsequent hospitalizations, and (3) ensuring adequate ambulatory care access to all older persons, as prior work has shown variation in ACSC hospital admission rates dependent on population factors such as high-poverty neighborhoods,16 insurance status,16,32 and race/ethnicity.33

Clinical strategies have been narrow and not holistic for ACSCs; for example, many institutions have focused on pneumonia vaccinations to reduce hospitalizations, but our work supports the need to further evaluate the impact of preventing ACSC-related hospitalizations and their associated disabling consequences. For patients admitted to the hospital, clinical strategies, such as in-hospital or post-hospital mobility and activity programs, have been shown to be protective against hospital-associated disability.34,35 Furthermore, hospital discharge planning could include preparing older persons for anticipated functional disabilities, associated recoveries, and NH admission after ACSC-related hospitalizations. Risk factors contributing to post-hospitalization functional disability and recovery have been identified,19,20,36 but future work is needed to: (1) identify target populations (including those most likely to worsen) so that interventions can be offered earlier in the course of care to those who would benefit most, and (2) identify and learn from those who are resilient and have recovered, to better understand factors contributing to their success.

Our study has several strengths. First, the study is unique due to its longitudinal design, with monthly assessments of functional status. Since functional status was assessed prospectively before the ACSC-related hospitalization, we also have avoided any potential concern for recall bias that may be present if assessed after the hospitalization. Additionally, through the use of Medicare claims and the Minimum Data Set, the ascertainment of hospitalizations and NH admissions was likely complete for the studied population.

However, the study has limitations. First, functional measures were based on self-reports rather than objective measurements. Nevertheless, the self-report function is often used to guide coverage determinations in the Medicare program, as it has been shown to be associated with poor health outcomes.37 Second, we are unable to comment on the rate of functional decline or NH admission when an older person was not hospitalized in relation to an ACSC. Future analyses may benefit from using a control group (eg, older adults without an ACSC hospitalization or older adults with a non-ACSC hospitalization). Third, we used strict exclusion criteria to identify a population of older adults without recent hospitalizations to determine the isolated impact of ACSC hospitalization on disability, incident NH admission, and functional recovery. Considering this potential selection bias, our findings are likely conservative estimates of the patient-centered outcomes evaluated. Fourth, participants were not asked about feeding and toileting. However, the incidence of disability in these ADLs is low among nondisabled, community-living older persons, and it is highly uncommon for disability to develop in these ADLs without concurrent disability in the ADLs within this analysis.14,38

Finally, because our study participants were members of a single health plan in a small urban area and included nondisabled older persons living in the community, our findings may not be generalizable to geriatric patients in other settings. Nonetheless, the demographics of our cohort reflect those of older persons in New Haven County, Connecticut, which are similar to the demographics of the US population, with the exception of race and ethnicity. In addition, the generalizability of our results are strengthened by the study’s high participation rate and minimal attrition.

CONCLUSION

Within 6 months of ACSC-related hospitalizations, community-living older persons exhibited greater total disability scores than those immediately preceding hospitalization. In the same time frame, 3 of 10 older persons did not achieve functional recovery, and half experienced incident NH admission. These results provide evidence regarding the continued recognition of ACSC-related hospitalizations in federal quality measurement and payment programs and suggests the need for preventive and comprehensive interventions to meaningfully improve longitudinal outcomes.

Acknowledgments

We thank Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Barbara Foster, and Amy Shelton, MPH, for assistance with data collection; Geraldine Hawthorne, BS, for assistance with data entry and management; Peter Charpentier, MPH, for design and development of the study database and participant tracking system; and Joanne McGloin, MDiv, MBA, for leadership and advice as the Project Director. Each of these persons were paid employees of Yale School of Medicine during the conduct of this study.

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References

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2. Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451-458. https://doi.org/10.1046/j.1532-5415.2003.51152.x
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14. Gill TM, Hardy SE, Williams CS. Underestimation of disability in community-living older persons. J Am Geriatr Soc. 2002;50(9):1492-1497. https://doi.org/10.1046/j.1532-5415.2002.50403.x
15. Agency for Healthcare Research and Quality. Prevention Quality Indicators Technical Specifications Updates—Version v2018 and 2018.0.1 (ICD 10-CM/PCS), June 2018. Accessed February 4, 2020. https://www.qualityindicators.ahrq.gov/Modules/PQI_TechSpec_ICD10_v2018.aspx.
16. Johnson PJ, Ghildayal N, Ward AC, Westgard BC, Boland LL, Hokanson JS. Disparities in potentially avoidable emergency department (ED) care: ED visits for ambulatory care sensitive conditions. Med Care. 2012;50(12):1020-1028. https://doi.org/10.1097/MLR.0b013e318270bad4
17. Galarraga JE, Mutter R, Pines JM. Costs associated with ambulatory care sensitive conditions across hospital-based settings. Acad Emerg Med. 2015;22(2):172-181. https://doi.org/10.1111/acem.12579
18. Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med. 2015;175(4):523-529. https://doi.org/10.1001/jamainternmed.2014.7889
19. Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG. Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med. 2012;156(2):131-140. https://doi.org/10.7326/0003-4819-156-2-201201170-00009
20. Hardy SE, Gill TM. Factors associated with recovery of independence among newly disabled older persons. Arch Intern Med. 2005;165(1):106-112. https://doi.org/10.1001/archinte.165.1.106
21. Centers for Medicare & Medicaid Services. Nursing Home Quality Initiative—Quality Measures. Accessed June 13, 2021. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures
22. Goodwin JS, Li S, Zhou J, Graham JE, Karmarkar A, Ottenbacher K. Comparison of methods to identify long term care nursing home residence with administrative data. BMC Health Serv Res. 2017;17(1):376. https://doi.org/10.1186/s12913-017-2318-9
23. Laditka, JN, Laditka SB, Probst JC. More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions. Health Serv Res. 2005;40(4):1148-1166. https://doi.org/10.1111/j.1475-6773.2005.00403.x
24. Ansar Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev. 2006;63(6):719-741. https://doi.org/10.1177/1077558706293637
25. Mackinko J, de Oliveira VB, Turci MA, Guanais FC, Bonolo PF, Lima-Costa MF. The influence of primary care and hospital supply on ambulatory care-sensitive hospitalizations among adults in Brazil, 1999-2007. Am J Public Health. 2011;101(10):1963-1970. https://doi.org/10.2105/AJPH.2010.198887
26. Gibson OR, Segal L, McDermott RA. A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing. BMC Health Serv Res. 2013;13:336. https://doi.org/10.1186/1472-6963-13-336
27. Vuik SI, Fontana G, Mayer E, Darzi A. Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation. BMJ Open. 2017;7(8):e015704. https://doi.org/10.1136/bmjopen-2016-015704
28. Fried TR, Tinetti M, Agostini J, Iannone L, Towle V. Health outcome prioritization to elicit preferences of older persons with multiple health conditions. Patient Educ Couns. 2011;83(2):278-282. https://doi.org/10.1016/j.pec.2010.04.032
29. Reuben DB, Tinetti ME. Goal-oriented patient care—an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777-779. https://doi.org/10.1056/NEJMp1113631
30. Federman AD, Soones T, DeCherrie LV, Leff B, Siu AL. Association of a bundled hospital-at-home and 30-day postacute transitional care program with clinical outcomes and patient experiences. JAMA Intern Med. 2018;178(8):1033-1040. https://doi.org/10.1001/jamainternmed.2018.2562
31. Shah MN, Wasserman EB, Gillespie SM, et al. High-intensity telemedicine decreases emergency department use for ambulatory care sensitive conditions by older adult senior living community residents. J Am Med Dir Assoc. 2015;16(12):1077-1081. https://doi.org/10.1016/j.jamda.2015.07.009
32. Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations. Med Care. 2003;41(2):198-207. https://doi.org/10.1097/01.MLR.0000045021.70297.9F
33. O’Neil SS, Lake T, Merrill A, Wilson A, Mann DA, Bartnyska LM. Racial disparities in hospitalizations for ambulatory care-sensitive conditions. Am J Prev Med. 2010;38(4):381-388. https://doi.org/10.1016/j.amepre.2009.12.026
34. Pavon JM, Sloane RJ, Pieper RF, et al. Accelerometer-measured hospital physical activity and hospital-acquired disability in older adults. J Am Geriatr Soc. 2020;68:261-265. https://doi.org/10.1111/jgs.16231
35. Sunde S, Hesseberg K, Skelton DA, et al. Effects of a multicomponent high intensity exercise program on physical function and health-related quality of life in older adults with or at risk of mobility disability after discharge from hospital: a randomised controlled trial. BMC Geriatr. 2020;20(1):464. https://doi.org/10.1186/s12877-020-01829-9
36. Hardy SE, Gill TM. Recovery from disability among community-dwelling older persons. JAMA. 2004;291(13):1596-1602. https://doi.org/10.1001/jama.291.13.1596
37. Rotenberg J, Kinosian B, Boling P, Taler G, Independence at Home Learning Collaborative Writing Group. Home-based primary care: beyond extension of the independence at home demonstration. J Am Geriatr Soc. 2018;66(4):812-817. https://doi.org/10.1111/jgs.15314
38. Rodgers W, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52:21-36. https://doi.org/10.1093/geronb/52b.special_issue.21

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1Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut; 2National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; 3Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut; 4Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; 5Geriatrics Research, Education, and Clinical Center, James J Peters VAMC, Bronx, New York.

Disclosures
Dr Gettel is supported by the Yale National Clinician Scholars Program and by Clinical and Translational Science Award (CTSA) Grant Number TL1TR00864 from the National Center for Advancing Translational Science (NCATS). Dr Venkatesh reports career development support of grant KL2TR001862 from the NCATS and Yale Center for Clinical Investigation and the American Board of Emergency Medicine–National Academy of Medicine Anniversary Fellowship. Dr Murphy and Dr Gill are supported by the Yale Claude D Pepper Older Americans Independence Center (P30AG021342), and Dr Gill is additionally supported by a grant from the National Institute on Aging (NIA) (R01AG017560). Dr Hwang is also supported by the NIA (R33AG058926, R61AG069822), the John A Hartford Foundation, and the Gary and Mary West Health Institute. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation or approval of the manuscript.

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1Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut; 2National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; 3Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut; 4Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; 5Geriatrics Research, Education, and Clinical Center, James J Peters VAMC, Bronx, New York.

Disclosures
Dr Gettel is supported by the Yale National Clinician Scholars Program and by Clinical and Translational Science Award (CTSA) Grant Number TL1TR00864 from the National Center for Advancing Translational Science (NCATS). Dr Venkatesh reports career development support of grant KL2TR001862 from the NCATS and Yale Center for Clinical Investigation and the American Board of Emergency Medicine–National Academy of Medicine Anniversary Fellowship. Dr Murphy and Dr Gill are supported by the Yale Claude D Pepper Older Americans Independence Center (P30AG021342), and Dr Gill is additionally supported by a grant from the National Institute on Aging (NIA) (R01AG017560). Dr Hwang is also supported by the NIA (R33AG058926, R61AG069822), the John A Hartford Foundation, and the Gary and Mary West Health Institute. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation or approval of the manuscript.

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1Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut; 2National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; 3Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut; 4Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; 5Geriatrics Research, Education, and Clinical Center, James J Peters VAMC, Bronx, New York.

Disclosures
Dr Gettel is supported by the Yale National Clinician Scholars Program and by Clinical and Translational Science Award (CTSA) Grant Number TL1TR00864 from the National Center for Advancing Translational Science (NCATS). Dr Venkatesh reports career development support of grant KL2TR001862 from the NCATS and Yale Center for Clinical Investigation and the American Board of Emergency Medicine–National Academy of Medicine Anniversary Fellowship. Dr Murphy and Dr Gill are supported by the Yale Claude D Pepper Older Americans Independence Center (P30AG021342), and Dr Gill is additionally supported by a grant from the National Institute on Aging (NIA) (R01AG017560). Dr Hwang is also supported by the NIA (R33AG058926, R61AG069822), the John A Hartford Foundation, and the Gary and Mary West Health Institute. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation or approval of the manuscript.

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Related Articles

Acute illnesses requiring hospitalization serve as a sentinel event, with many older adults requiring assistance with activities of daily living (ADLs) upon discharge.1-3 Older adults who are frail experience even higher rates of hospital-associated disability, and rates of recovery to baseline functional status have varied.4,5 Loss of independence in ADLs has been associated with nursing home (NH) utilization, caregiver burden, and mortality.6

To date, studies have characterized functional trajectories before and after hospitalization in older persons for broad medical conditions, noting persistence of disability and incomplete recovery to baseline functional status.7 Prior evaluations have also noted the long-term disabling impact of critical conditions such as acute myocardial infarction, stroke, and sepsis,8,9 but a knowledge gap exists regarding the subsequent functional disability, recovery, and incident NH admission among older persons who are hospitalized for ambulatory care sensitive conditions (ACSCs). Often considered potentially preventable with optimal ambulatory care,10,11 ACSCs represent acute, chronic, and vaccine-preventable conditions, including urinary tract infection, congestive heart failure, diabetes mellitus, and pneumonia. Investigating the aforementioned patient-centered measures post hospitalization could provide valuable supporting evidence for the continued recognition of ACSC-related hospitalizations in national quality payment programs set forth by the Centers for Medicare & Medicaid Services (CMS).12 Demonstrating adverse outcomes after ACSC-related hospitalizations may help support interventions that target potentially preventable ACSC-related hospitalizations, such as home-based care or telehealth, with the goal of improving functional outcomes and reducing NH admission in older persons.

To address these gaps, we evaluated ACSC-related hospitalizations among participants of the Precipitating Events Project (PEP), a 19-year longitudinal study of community-living persons who were initially nondisabled in their basic functional activities. In the 6 months following an ACSC-related hospitalization, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident NH admission.

METHODS

Study Population

Participants were drawn from the PEP study, an ongoing, prospective, longitudinal study of 754 community-dwelling persons aged 70 years or older.13 Potential participants were members of a large health plan in greater New Haven, Connecticut, and were enrolled from March 1998 through October 1999. As previously described,14 persons were oversampled if they were physically frail, as denoted by a timed score >10 seconds on the rapid gait test. Exclusion criteria included significant cognitive impairment with no available proxy, life expectancy less than 12 months, plans to leave the area, and inability to speak English. Participants were initially required to be nondisabled in four basic activities of daily living (bathing, dressing, walking across a room, and transferring from a chair). Eligibility was determined during a screening telephone interview and was confirmed during an in-home assessment. Of the eligible members, 75.2% agreed to participate in the project, and persons who declined to participate did not significantly differ in age or sex from those who were enrolled. The Yale Human Investigation Committee approved the study protocol, and all participants provided verbal informed consent.

Data Collection

From 1998 to 2017, comprehensive home-based assessments were completed by trained research nurses at baseline and at 18-month intervals over 234 months (except at 126 months), and telephone interviews were completed monthly through June 2018, to obtain information on disability over time. For participants who had significant cognitive impairment or who were unavailable, we interviewed a proxy informant using a rigorous protocol with demonstrated reliability and validity.14 All incident NH admissions, including both short- and long-term stays, were identified using the CMS Skilled Nursing Facility claims file and Long Term Care Minimum Data Set. Deaths were ascertained by review of obituaries and/or from a proxy informant, with a completion rate of 100%. A total of 688 participants (91.2%) had died after a median follow-up of 108 months, while 43 participants (5.7%) dropped out of the study after a median follow-up of 27 months. Among all participants, data were otherwise available for 99.2% of 85,531 monthly telephone interviews.

Assembly of Analytic Sample

PEP participants were considered for inclusion in the analytic sample if they had a hospitalization with an ACSC as the primary diagnosis on linked Medicare claims data. The complete list of ACSCs was defined using specifications from the Agency for Healthcare Research and Quality,15 and was assembled using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) classification prior to October 1, 2015, and ICD Tenth Revision, Clinical Modification (ICD-10-CM) classification after October 1, 2015 (Appendix Table 1). Examples of ACSCs include congestive heart failure, dehydration, urinary tract infection, and angina without procedure. As performed previously,16,17 two ACSCs (low birthweight; asthma in younger adults 18-39 years) were not included in this analysis because they were not based on full adult populations.

ACSC-related hospitalizations were included through December 2017. Participants could contribute more than one ACSC-related hospitalization over the course of the study based on the following criteria: (1) participant did not have a prior non-ACSC-related hospitalization within an 18-month interval; (2) participant did not have a prior ACSC-related hospitalization or treat-and-release emergency department (ED) visit within an 18-month interval (to ensure independence of observations if the participant was still recovering from the prior event and because some of the characteristics within Table 1 are susceptible to change in the setting of an intervening event and, hence, would not accurately reflect the status of the participant prior to ACSC-related hospitalization); (3) participant was not admitted from a NH; (4) participant did not have an in-hospital intensive care unit (ICU) stay (because persons with critical illness are a distinct population with frequent disability and prolonged recovery, as previously described18), in-hospital death, or death before first follow-up interview (because our aim was to evaluate disability and recovery after the hospitalization7).

Characteristics From the Comprehensive Assessment Immediately Prior to ACSC-Related Hospitalization

Assembly of the primary analytic sample is depicted in the Appendix Figure. Of the 814 patients who were identified with ACSC-related hospitalizations, 107 had a prior non-ACSC-related hospitalization and 275 had a prior ACSC-related hospitalization or a treat-and-release ED visit within an 18-month interval. Of the remaining 432 ACSC-related hospitalizations, 181 were excluded: 114 patients were admitted from a NH, 38 had an in-hospital ICU stay, 3 died in the hospital, 11 died before their first follow-up interview, and 15 had withdrawn from the study. The primary analytic sample included the remaining 251 ACSC-related hospitalizations, contributed by 196 participants. Specifically, nine participants contributed three ACSC-related hospitalizations each, 37 participants contributed two hospitalizations each, and the remaining 150 participants contributed one hospitalization each. During the 6-month follow-up period, 40 participants contributing ACSC-related hospitalizations died after a median (interquartile range [IQR]) of 4 (2-5) months, and 1 person refused continued participation.

Comprehensive Assessments

During the comprehensive in-home assessments, data were obtained on demographic characteristics. Age was measured in years at the time of the ACSC-related hospitalization. In addition, we describe factors from the comprehensive assessment immediately prior to the ACSC-related hospitalization, grouped into two additional domains related to disability19: health-related and cognitive-psychosocial. The health-related factors included nine self-reported, physician-diagnosed chronic conditions and frailty. The cognitive-psychosocial factors included social support, cognitive impairment, and depressive symptoms.

Assessment of Disability

Complete details about the assessment of disability have been previously described.13,14,19,20 Briefly, disability was assessed during the monthly telephone interviews, and included four basic activities (bathing, dressing, walking across a room, and transferring from a chair), five instrumental activities (shopping, housework, meal preparation, taking medications, and managing finances), and three mobility activities (walking a quarter mile, climbing a flight of stairs, and lifting or carrying 10 lb). Participants were asked, “At the present time, do you need help from another person to [complete the task]?” Disability was operationalized as the need for personal assistance or an inability to perform the task. Participants were also asked about a fourth mobility activity, “Have you driven a car during the past month?” Those who responded no were classified as being disabled in driving.19

The number of disabilities overall and for each functional domain (basic, instrumental, and mobility) was summed. Possible disability scores ranged from 0 to 13, with a score of 0 indicating complete independence in all of the items, and a score of 13 indicating complete dependence. Worse postdischarge disability was defined as a total disability score (0-13) at the first telephone interview after an ACSC-related hospitalization that was greater than the total disability score from the telephone interview immediately preceding hospitalization.

Outcome Measures

The primary outcome was the number of disabilities in all 13 basic, instrumental, and mobility activities in each of the 6 months following discharge from an ACSC-related hospitalization. To determine whether our findings were consistent across the three functional domains, we also evaluated the number of disabilities in the four basic, five instrumental, and four mobility activities separately. As secondary outcomes, we evaluated: (1) the cumulative probability of recovery within the 6-month follow-up time frame after an ACSC-related hospitalization, with “recovery” defined as return to the participant’s pre-ACSC-related hospitalization total disability score, and (2) the cumulative probability of incident NH admission within the 6 months after an ACSC-related hospitalization. Aligned with CMS and prior literature,21,22 we defined a short-term NH stay as ≤100 days and a long-term NH stay as >100 days.

Statistical Analysis

Pre-ACSC-related hospitalization characteristics were summarized by means (SDs) and frequencies with proportions. We determined the mean number of disabilities in each of the 6 months following hospital discharge, with the prehospitalization value included as a reference point. We also determined the mean (SD) number of disabilities for the three subscales of disability (basic activities of daily living [BADLs], instrumental activities of daily living [IADLs], and mobility activities). We calculated the cumulative probability of recovery within 6 months of hospital discharge. Finally, we determined the cumulative probability of incident NH admission during the 6 months after hospital discharge.

To test the robustness of our main results, we conducted a sensitivity analysis assessing disability scores of the 150 participants that contributed only one ACSC-related hospitalization. All analyses were performed using Stata, version 16.0, statistical software (StataCorp).

RESULTS

Table 1 shows the characteristics of the 251 ACSC-related hospitalizations immediately prior to hospitalization. Participants’ mean (SD) age was 85.1 (6.0) years, and the mean total disability score was 5.4. The majority were female, non-Hispanic White, frail, and lived alone. As shown in Appendix Table 2, the three most common reasons for ACSC-related hospitalizations were congestive heart failure (n = 69), bacterial pneumonia (n = 53), and dehydration (n = 44).

The Figure shows the disability scores during the 6-month follow-up period for total, basic, instrumental, and mobility activities, in panels A, B, C, and D, respectively. The exact values are provided in Appendix Table 3. After hospitalization, disability scores for total, basic, instrumental, and mobility activities peaked at month 1 and tended to improve modestly over the next 5 months, but remained greater, on average, than pre-hospitalization scores. Of the 40 participants who died within the 6-month follow-up period, 36 (90%) had worse disability scores in their last month of life than in the month prior to their ACSC-related hospitalization.

Table 2 shows the cumulative probability of functional recovery after ACSC-related hospitalizations. Recovery was incomplete, with only 70% (95% CI, 64%-76%) of hospitalizations achieving a return to the pre-hospitalization total disability score within 6 months of hospitalization.

Cumulative Monthly Probability of Recovery to Pre-ACSC-Related Hospitalization Functional Status

Table 3 shows the cumulative probability of incident NH admission after an ACSC-related hospitalization. Of the 251 ACSC-related hospitalizations, incident NH admission was experienced by 38% (95% CI, 32%-44%) within 1 month and 50% (95% CI, 43%-56%) within 6 months of discharge. Short-term NH stays accounted for 90 (75.6%) of the 119 incident NH admissions within the 6 months after ACSC-related hospitalizations. Sensitivity analyses yielded comparable disability scores, shown in Appendix Table 4.

DISCUSSION

In this longitudinal study of community-living older persons, we evaluated functional disability, recovery, and incident NH admission within 6 months of hospitalization for an ACSC. Our study has three major findings. First, disability scores for total, basic, instrumental, and mobility activities at months 1 to 6 of follow-up were greater on average than pre-hospitalization scores. Second, functional recovery was not achieved by 3 of 10 participants after an ACSC-related hospitalization. Third, half of them experienced an incident NH admission within 6 months of discharge from an ACSC-related hospitalization, although about three-quarters of these were short-term stays. Our findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.

Prior research involving ACSCs has focused largely on rates of hospitalization as a measure of access to primary care and the associated factors predictive of ACSC-related hospitalizations,23-26 and has not addressed subsequent patient-reported outcomes. The findings in this analysis highlight that older persons experience worsening disability immediately after an ACSC-related hospitalization, which persists for prolonged periods and often results in incomplete recovery. Prior research has assessed pre-hospitalization functional status through retrospective recall approaches,2 included only older adults discharged with incident disability,3 and examined functional status after all-cause medical illness hospitalizations.5 Our prospective analysis extends the literature by reliably capturing pre-hospital disability scores and uniquely assessing the cohort of older persons hospitalized with ACSCs.

Our work is relevant to the continued evaluation of ACSC-related hospitalizations in national quality measurement and payment initiatives among Medicare beneficiaries. In prior evaluations of ACSC-related quality measures, stakeholders have criticized the measures for limited validity due to a lack of evidence linking each utilization outcome to other patient-centered outcomes.10,27 Our work addresses this gap by demonstrating that ACSC-related hospitalizations are linked to persistent disability, incomplete functional recovery, and incident NH admissions. Given the large body of evidence demonstrating the priority older persons place on these patient-reported outcomes,28,29 our work should reassure policymakers seeking to transform quality measurement programs into a more patient-oriented enterprise.

Our findings have several clinical practice, research, and policy implications. First, more-effective clinical strategies to minimize the level of care required for acute exacerbations of ACSC-related illnesses may include: (1) substituting home-based care30 and telehealth interventions31 for traditional inpatient hospitalization, (2) making in-ED resources (ie, case management services, geriatric-focused advanced practice providers) more accessible for older persons with ACSC-related illnesses, thereby enhancing care transitions and follow-up to avoid potential current and subsequent hospitalizations, and (3) ensuring adequate ambulatory care access to all older persons, as prior work has shown variation in ACSC hospital admission rates dependent on population factors such as high-poverty neighborhoods,16 insurance status,16,32 and race/ethnicity.33

Clinical strategies have been narrow and not holistic for ACSCs; for example, many institutions have focused on pneumonia vaccinations to reduce hospitalizations, but our work supports the need to further evaluate the impact of preventing ACSC-related hospitalizations and their associated disabling consequences. For patients admitted to the hospital, clinical strategies, such as in-hospital or post-hospital mobility and activity programs, have been shown to be protective against hospital-associated disability.34,35 Furthermore, hospital discharge planning could include preparing older persons for anticipated functional disabilities, associated recoveries, and NH admission after ACSC-related hospitalizations. Risk factors contributing to post-hospitalization functional disability and recovery have been identified,19,20,36 but future work is needed to: (1) identify target populations (including those most likely to worsen) so that interventions can be offered earlier in the course of care to those who would benefit most, and (2) identify and learn from those who are resilient and have recovered, to better understand factors contributing to their success.

Our study has several strengths. First, the study is unique due to its longitudinal design, with monthly assessments of functional status. Since functional status was assessed prospectively before the ACSC-related hospitalization, we also have avoided any potential concern for recall bias that may be present if assessed after the hospitalization. Additionally, through the use of Medicare claims and the Minimum Data Set, the ascertainment of hospitalizations and NH admissions was likely complete for the studied population.

However, the study has limitations. First, functional measures were based on self-reports rather than objective measurements. Nevertheless, the self-report function is often used to guide coverage determinations in the Medicare program, as it has been shown to be associated with poor health outcomes.37 Second, we are unable to comment on the rate of functional decline or NH admission when an older person was not hospitalized in relation to an ACSC. Future analyses may benefit from using a control group (eg, older adults without an ACSC hospitalization or older adults with a non-ACSC hospitalization). Third, we used strict exclusion criteria to identify a population of older adults without recent hospitalizations to determine the isolated impact of ACSC hospitalization on disability, incident NH admission, and functional recovery. Considering this potential selection bias, our findings are likely conservative estimates of the patient-centered outcomes evaluated. Fourth, participants were not asked about feeding and toileting. However, the incidence of disability in these ADLs is low among nondisabled, community-living older persons, and it is highly uncommon for disability to develop in these ADLs without concurrent disability in the ADLs within this analysis.14,38

Finally, because our study participants were members of a single health plan in a small urban area and included nondisabled older persons living in the community, our findings may not be generalizable to geriatric patients in other settings. Nonetheless, the demographics of our cohort reflect those of older persons in New Haven County, Connecticut, which are similar to the demographics of the US population, with the exception of race and ethnicity. In addition, the generalizability of our results are strengthened by the study’s high participation rate and minimal attrition.

CONCLUSION

Within 6 months of ACSC-related hospitalizations, community-living older persons exhibited greater total disability scores than those immediately preceding hospitalization. In the same time frame, 3 of 10 older persons did not achieve functional recovery, and half experienced incident NH admission. These results provide evidence regarding the continued recognition of ACSC-related hospitalizations in federal quality measurement and payment programs and suggests the need for preventive and comprehensive interventions to meaningfully improve longitudinal outcomes.

Acknowledgments

We thank Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Barbara Foster, and Amy Shelton, MPH, for assistance with data collection; Geraldine Hawthorne, BS, for assistance with data entry and management; Peter Charpentier, MPH, for design and development of the study database and participant tracking system; and Joanne McGloin, MDiv, MBA, for leadership and advice as the Project Director. Each of these persons were paid employees of Yale School of Medicine during the conduct of this study.

Acute illnesses requiring hospitalization serve as a sentinel event, with many older adults requiring assistance with activities of daily living (ADLs) upon discharge.1-3 Older adults who are frail experience even higher rates of hospital-associated disability, and rates of recovery to baseline functional status have varied.4,5 Loss of independence in ADLs has been associated with nursing home (NH) utilization, caregiver burden, and mortality.6

To date, studies have characterized functional trajectories before and after hospitalization in older persons for broad medical conditions, noting persistence of disability and incomplete recovery to baseline functional status.7 Prior evaluations have also noted the long-term disabling impact of critical conditions such as acute myocardial infarction, stroke, and sepsis,8,9 but a knowledge gap exists regarding the subsequent functional disability, recovery, and incident NH admission among older persons who are hospitalized for ambulatory care sensitive conditions (ACSCs). Often considered potentially preventable with optimal ambulatory care,10,11 ACSCs represent acute, chronic, and vaccine-preventable conditions, including urinary tract infection, congestive heart failure, diabetes mellitus, and pneumonia. Investigating the aforementioned patient-centered measures post hospitalization could provide valuable supporting evidence for the continued recognition of ACSC-related hospitalizations in national quality payment programs set forth by the Centers for Medicare & Medicaid Services (CMS).12 Demonstrating adverse outcomes after ACSC-related hospitalizations may help support interventions that target potentially preventable ACSC-related hospitalizations, such as home-based care or telehealth, with the goal of improving functional outcomes and reducing NH admission in older persons.

To address these gaps, we evaluated ACSC-related hospitalizations among participants of the Precipitating Events Project (PEP), a 19-year longitudinal study of community-living persons who were initially nondisabled in their basic functional activities. In the 6 months following an ACSC-related hospitalization, our objectives were to describe: (1) the 6-month course of postdischarge functional disability, (2) the cumulative monthly probability of functional recovery, and (3) the cumulative monthly probability of incident NH admission.

METHODS

Study Population

Participants were drawn from the PEP study, an ongoing, prospective, longitudinal study of 754 community-dwelling persons aged 70 years or older.13 Potential participants were members of a large health plan in greater New Haven, Connecticut, and were enrolled from March 1998 through October 1999. As previously described,14 persons were oversampled if they were physically frail, as denoted by a timed score >10 seconds on the rapid gait test. Exclusion criteria included significant cognitive impairment with no available proxy, life expectancy less than 12 months, plans to leave the area, and inability to speak English. Participants were initially required to be nondisabled in four basic activities of daily living (bathing, dressing, walking across a room, and transferring from a chair). Eligibility was determined during a screening telephone interview and was confirmed during an in-home assessment. Of the eligible members, 75.2% agreed to participate in the project, and persons who declined to participate did not significantly differ in age or sex from those who were enrolled. The Yale Human Investigation Committee approved the study protocol, and all participants provided verbal informed consent.

Data Collection

From 1998 to 2017, comprehensive home-based assessments were completed by trained research nurses at baseline and at 18-month intervals over 234 months (except at 126 months), and telephone interviews were completed monthly through June 2018, to obtain information on disability over time. For participants who had significant cognitive impairment or who were unavailable, we interviewed a proxy informant using a rigorous protocol with demonstrated reliability and validity.14 All incident NH admissions, including both short- and long-term stays, were identified using the CMS Skilled Nursing Facility claims file and Long Term Care Minimum Data Set. Deaths were ascertained by review of obituaries and/or from a proxy informant, with a completion rate of 100%. A total of 688 participants (91.2%) had died after a median follow-up of 108 months, while 43 participants (5.7%) dropped out of the study after a median follow-up of 27 months. Among all participants, data were otherwise available for 99.2% of 85,531 monthly telephone interviews.

Assembly of Analytic Sample

PEP participants were considered for inclusion in the analytic sample if they had a hospitalization with an ACSC as the primary diagnosis on linked Medicare claims data. The complete list of ACSCs was defined using specifications from the Agency for Healthcare Research and Quality,15 and was assembled using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) classification prior to October 1, 2015, and ICD Tenth Revision, Clinical Modification (ICD-10-CM) classification after October 1, 2015 (Appendix Table 1). Examples of ACSCs include congestive heart failure, dehydration, urinary tract infection, and angina without procedure. As performed previously,16,17 two ACSCs (low birthweight; asthma in younger adults 18-39 years) were not included in this analysis because they were not based on full adult populations.

ACSC-related hospitalizations were included through December 2017. Participants could contribute more than one ACSC-related hospitalization over the course of the study based on the following criteria: (1) participant did not have a prior non-ACSC-related hospitalization within an 18-month interval; (2) participant did not have a prior ACSC-related hospitalization or treat-and-release emergency department (ED) visit within an 18-month interval (to ensure independence of observations if the participant was still recovering from the prior event and because some of the characteristics within Table 1 are susceptible to change in the setting of an intervening event and, hence, would not accurately reflect the status of the participant prior to ACSC-related hospitalization); (3) participant was not admitted from a NH; (4) participant did not have an in-hospital intensive care unit (ICU) stay (because persons with critical illness are a distinct population with frequent disability and prolonged recovery, as previously described18), in-hospital death, or death before first follow-up interview (because our aim was to evaluate disability and recovery after the hospitalization7).

Characteristics From the Comprehensive Assessment Immediately Prior to ACSC-Related Hospitalization

Assembly of the primary analytic sample is depicted in the Appendix Figure. Of the 814 patients who were identified with ACSC-related hospitalizations, 107 had a prior non-ACSC-related hospitalization and 275 had a prior ACSC-related hospitalization or a treat-and-release ED visit within an 18-month interval. Of the remaining 432 ACSC-related hospitalizations, 181 were excluded: 114 patients were admitted from a NH, 38 had an in-hospital ICU stay, 3 died in the hospital, 11 died before their first follow-up interview, and 15 had withdrawn from the study. The primary analytic sample included the remaining 251 ACSC-related hospitalizations, contributed by 196 participants. Specifically, nine participants contributed three ACSC-related hospitalizations each, 37 participants contributed two hospitalizations each, and the remaining 150 participants contributed one hospitalization each. During the 6-month follow-up period, 40 participants contributing ACSC-related hospitalizations died after a median (interquartile range [IQR]) of 4 (2-5) months, and 1 person refused continued participation.

Comprehensive Assessments

During the comprehensive in-home assessments, data were obtained on demographic characteristics. Age was measured in years at the time of the ACSC-related hospitalization. In addition, we describe factors from the comprehensive assessment immediately prior to the ACSC-related hospitalization, grouped into two additional domains related to disability19: health-related and cognitive-psychosocial. The health-related factors included nine self-reported, physician-diagnosed chronic conditions and frailty. The cognitive-psychosocial factors included social support, cognitive impairment, and depressive symptoms.

Assessment of Disability

Complete details about the assessment of disability have been previously described.13,14,19,20 Briefly, disability was assessed during the monthly telephone interviews, and included four basic activities (bathing, dressing, walking across a room, and transferring from a chair), five instrumental activities (shopping, housework, meal preparation, taking medications, and managing finances), and three mobility activities (walking a quarter mile, climbing a flight of stairs, and lifting or carrying 10 lb). Participants were asked, “At the present time, do you need help from another person to [complete the task]?” Disability was operationalized as the need for personal assistance or an inability to perform the task. Participants were also asked about a fourth mobility activity, “Have you driven a car during the past month?” Those who responded no were classified as being disabled in driving.19

The number of disabilities overall and for each functional domain (basic, instrumental, and mobility) was summed. Possible disability scores ranged from 0 to 13, with a score of 0 indicating complete independence in all of the items, and a score of 13 indicating complete dependence. Worse postdischarge disability was defined as a total disability score (0-13) at the first telephone interview after an ACSC-related hospitalization that was greater than the total disability score from the telephone interview immediately preceding hospitalization.

Outcome Measures

The primary outcome was the number of disabilities in all 13 basic, instrumental, and mobility activities in each of the 6 months following discharge from an ACSC-related hospitalization. To determine whether our findings were consistent across the three functional domains, we also evaluated the number of disabilities in the four basic, five instrumental, and four mobility activities separately. As secondary outcomes, we evaluated: (1) the cumulative probability of recovery within the 6-month follow-up time frame after an ACSC-related hospitalization, with “recovery” defined as return to the participant’s pre-ACSC-related hospitalization total disability score, and (2) the cumulative probability of incident NH admission within the 6 months after an ACSC-related hospitalization. Aligned with CMS and prior literature,21,22 we defined a short-term NH stay as ≤100 days and a long-term NH stay as >100 days.

Statistical Analysis

Pre-ACSC-related hospitalization characteristics were summarized by means (SDs) and frequencies with proportions. We determined the mean number of disabilities in each of the 6 months following hospital discharge, with the prehospitalization value included as a reference point. We also determined the mean (SD) number of disabilities for the three subscales of disability (basic activities of daily living [BADLs], instrumental activities of daily living [IADLs], and mobility activities). We calculated the cumulative probability of recovery within 6 months of hospital discharge. Finally, we determined the cumulative probability of incident NH admission during the 6 months after hospital discharge.

To test the robustness of our main results, we conducted a sensitivity analysis assessing disability scores of the 150 participants that contributed only one ACSC-related hospitalization. All analyses were performed using Stata, version 16.0, statistical software (StataCorp).

RESULTS

Table 1 shows the characteristics of the 251 ACSC-related hospitalizations immediately prior to hospitalization. Participants’ mean (SD) age was 85.1 (6.0) years, and the mean total disability score was 5.4. The majority were female, non-Hispanic White, frail, and lived alone. As shown in Appendix Table 2, the three most common reasons for ACSC-related hospitalizations were congestive heart failure (n = 69), bacterial pneumonia (n = 53), and dehydration (n = 44).

The Figure shows the disability scores during the 6-month follow-up period for total, basic, instrumental, and mobility activities, in panels A, B, C, and D, respectively. The exact values are provided in Appendix Table 3. After hospitalization, disability scores for total, basic, instrumental, and mobility activities peaked at month 1 and tended to improve modestly over the next 5 months, but remained greater, on average, than pre-hospitalization scores. Of the 40 participants who died within the 6-month follow-up period, 36 (90%) had worse disability scores in their last month of life than in the month prior to their ACSC-related hospitalization.

Table 2 shows the cumulative probability of functional recovery after ACSC-related hospitalizations. Recovery was incomplete, with only 70% (95% CI, 64%-76%) of hospitalizations achieving a return to the pre-hospitalization total disability score within 6 months of hospitalization.

Cumulative Monthly Probability of Recovery to Pre-ACSC-Related Hospitalization Functional Status

Table 3 shows the cumulative probability of incident NH admission after an ACSC-related hospitalization. Of the 251 ACSC-related hospitalizations, incident NH admission was experienced by 38% (95% CI, 32%-44%) within 1 month and 50% (95% CI, 43%-56%) within 6 months of discharge. Short-term NH stays accounted for 90 (75.6%) of the 119 incident NH admissions within the 6 months after ACSC-related hospitalizations. Sensitivity analyses yielded comparable disability scores, shown in Appendix Table 4.

DISCUSSION

In this longitudinal study of community-living older persons, we evaluated functional disability, recovery, and incident NH admission within 6 months of hospitalization for an ACSC. Our study has three major findings. First, disability scores for total, basic, instrumental, and mobility activities at months 1 to 6 of follow-up were greater on average than pre-hospitalization scores. Second, functional recovery was not achieved by 3 of 10 participants after an ACSC-related hospitalization. Third, half of them experienced an incident NH admission within 6 months of discharge from an ACSC-related hospitalization, although about three-quarters of these were short-term stays. Our findings provide evidence that older persons experience clinically meaningful adverse patient-reported outcomes after ACSC-related hospitalizations.

Prior research involving ACSCs has focused largely on rates of hospitalization as a measure of access to primary care and the associated factors predictive of ACSC-related hospitalizations,23-26 and has not addressed subsequent patient-reported outcomes. The findings in this analysis highlight that older persons experience worsening disability immediately after an ACSC-related hospitalization, which persists for prolonged periods and often results in incomplete recovery. Prior research has assessed pre-hospitalization functional status through retrospective recall approaches,2 included only older adults discharged with incident disability,3 and examined functional status after all-cause medical illness hospitalizations.5 Our prospective analysis extends the literature by reliably capturing pre-hospital disability scores and uniquely assessing the cohort of older persons hospitalized with ACSCs.

Our work is relevant to the continued evaluation of ACSC-related hospitalizations in national quality measurement and payment initiatives among Medicare beneficiaries. In prior evaluations of ACSC-related quality measures, stakeholders have criticized the measures for limited validity due to a lack of evidence linking each utilization outcome to other patient-centered outcomes.10,27 Our work addresses this gap by demonstrating that ACSC-related hospitalizations are linked to persistent disability, incomplete functional recovery, and incident NH admissions. Given the large body of evidence demonstrating the priority older persons place on these patient-reported outcomes,28,29 our work should reassure policymakers seeking to transform quality measurement programs into a more patient-oriented enterprise.

Our findings have several clinical practice, research, and policy implications. First, more-effective clinical strategies to minimize the level of care required for acute exacerbations of ACSC-related illnesses may include: (1) substituting home-based care30 and telehealth interventions31 for traditional inpatient hospitalization, (2) making in-ED resources (ie, case management services, geriatric-focused advanced practice providers) more accessible for older persons with ACSC-related illnesses, thereby enhancing care transitions and follow-up to avoid potential current and subsequent hospitalizations, and (3) ensuring adequate ambulatory care access to all older persons, as prior work has shown variation in ACSC hospital admission rates dependent on population factors such as high-poverty neighborhoods,16 insurance status,16,32 and race/ethnicity.33

Clinical strategies have been narrow and not holistic for ACSCs; for example, many institutions have focused on pneumonia vaccinations to reduce hospitalizations, but our work supports the need to further evaluate the impact of preventing ACSC-related hospitalizations and their associated disabling consequences. For patients admitted to the hospital, clinical strategies, such as in-hospital or post-hospital mobility and activity programs, have been shown to be protective against hospital-associated disability.34,35 Furthermore, hospital discharge planning could include preparing older persons for anticipated functional disabilities, associated recoveries, and NH admission after ACSC-related hospitalizations. Risk factors contributing to post-hospitalization functional disability and recovery have been identified,19,20,36 but future work is needed to: (1) identify target populations (including those most likely to worsen) so that interventions can be offered earlier in the course of care to those who would benefit most, and (2) identify and learn from those who are resilient and have recovered, to better understand factors contributing to their success.

Our study has several strengths. First, the study is unique due to its longitudinal design, with monthly assessments of functional status. Since functional status was assessed prospectively before the ACSC-related hospitalization, we also have avoided any potential concern for recall bias that may be present if assessed after the hospitalization. Additionally, through the use of Medicare claims and the Minimum Data Set, the ascertainment of hospitalizations and NH admissions was likely complete for the studied population.

However, the study has limitations. First, functional measures were based on self-reports rather than objective measurements. Nevertheless, the self-report function is often used to guide coverage determinations in the Medicare program, as it has been shown to be associated with poor health outcomes.37 Second, we are unable to comment on the rate of functional decline or NH admission when an older person was not hospitalized in relation to an ACSC. Future analyses may benefit from using a control group (eg, older adults without an ACSC hospitalization or older adults with a non-ACSC hospitalization). Third, we used strict exclusion criteria to identify a population of older adults without recent hospitalizations to determine the isolated impact of ACSC hospitalization on disability, incident NH admission, and functional recovery. Considering this potential selection bias, our findings are likely conservative estimates of the patient-centered outcomes evaluated. Fourth, participants were not asked about feeding and toileting. However, the incidence of disability in these ADLs is low among nondisabled, community-living older persons, and it is highly uncommon for disability to develop in these ADLs without concurrent disability in the ADLs within this analysis.14,38

Finally, because our study participants were members of a single health plan in a small urban area and included nondisabled older persons living in the community, our findings may not be generalizable to geriatric patients in other settings. Nonetheless, the demographics of our cohort reflect those of older persons in New Haven County, Connecticut, which are similar to the demographics of the US population, with the exception of race and ethnicity. In addition, the generalizability of our results are strengthened by the study’s high participation rate and minimal attrition.

CONCLUSION

Within 6 months of ACSC-related hospitalizations, community-living older persons exhibited greater total disability scores than those immediately preceding hospitalization. In the same time frame, 3 of 10 older persons did not achieve functional recovery, and half experienced incident NH admission. These results provide evidence regarding the continued recognition of ACSC-related hospitalizations in federal quality measurement and payment programs and suggests the need for preventive and comprehensive interventions to meaningfully improve longitudinal outcomes.

Acknowledgments

We thank Denise Shepard, BSN, MBA, Andrea Benjamin, BSN, Barbara Foster, and Amy Shelton, MPH, for assistance with data collection; Geraldine Hawthorne, BS, for assistance with data entry and management; Peter Charpentier, MPH, for design and development of the study database and participant tracking system; and Joanne McGloin, MDiv, MBA, for leadership and advice as the Project Director. Each of these persons were paid employees of Yale School of Medicine during the conduct of this study.

References

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2. Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451-458. https://doi.org/10.1046/j.1532-5415.2003.51152.x
3. Barnes DE, Mehta KM, Boscardin WJ, et al. Prediction of recovery, dependence or death in elders who become disabled during hospitalization. J Gen Intern Med. 2013;28(2):261-268. https://doi.org/10.1007/s11606-012-2226-y
4. Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919-1928. https://doi.org/10.1001/jama.2010.1568
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9. Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-1794. https://doi.org/10.1001/jama.2010.1553
10. Hodgson K, Deeny SR, Steventon A. Ambulatory care-sensitive conditions: their potential uses and limitations. BMJ Qual Saf. 2019;28(6):429-433. https://doi.org/10.1136/bmjqs-2018-008820
11. Agency for Healthcare Research and Quality (AHRQ). Quality Indicator User Guide: Prevention Quality Indicators (PQI) Composite Measures. Version 2020. Accessed November 10, 2020. https://www.qualityindicators.ahrq.gov/modules/pqi_resources.aspx.
12. Centers for Medicare & Medicaid Services. 2016 Measure information about the hospital admissions for acute and chronic ambulatory care-sensitive condition (ACSC) composite measures, calculated for the 2018 value-based payment modified program. Accessed November 24, 2020. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeedbackProgram/Downloads/2016-ACSC-MIF.pdf.
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14. Gill TM, Hardy SE, Williams CS. Underestimation of disability in community-living older persons. J Am Geriatr Soc. 2002;50(9):1492-1497. https://doi.org/10.1046/j.1532-5415.2002.50403.x
15. Agency for Healthcare Research and Quality. Prevention Quality Indicators Technical Specifications Updates—Version v2018 and 2018.0.1 (ICD 10-CM/PCS), June 2018. Accessed February 4, 2020. https://www.qualityindicators.ahrq.gov/Modules/PQI_TechSpec_ICD10_v2018.aspx.
16. Johnson PJ, Ghildayal N, Ward AC, Westgard BC, Boland LL, Hokanson JS. Disparities in potentially avoidable emergency department (ED) care: ED visits for ambulatory care sensitive conditions. Med Care. 2012;50(12):1020-1028. https://doi.org/10.1097/MLR.0b013e318270bad4
17. Galarraga JE, Mutter R, Pines JM. Costs associated with ambulatory care sensitive conditions across hospital-based settings. Acad Emerg Med. 2015;22(2):172-181. https://doi.org/10.1111/acem.12579
18. Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med. 2015;175(4):523-529. https://doi.org/10.1001/jamainternmed.2014.7889
19. Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG. Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med. 2012;156(2):131-140. https://doi.org/10.7326/0003-4819-156-2-201201170-00009
20. Hardy SE, Gill TM. Factors associated with recovery of independence among newly disabled older persons. Arch Intern Med. 2005;165(1):106-112. https://doi.org/10.1001/archinte.165.1.106
21. Centers for Medicare & Medicaid Services. Nursing Home Quality Initiative—Quality Measures. Accessed June 13, 2021. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures
22. Goodwin JS, Li S, Zhou J, Graham JE, Karmarkar A, Ottenbacher K. Comparison of methods to identify long term care nursing home residence with administrative data. BMC Health Serv Res. 2017;17(1):376. https://doi.org/10.1186/s12913-017-2318-9
23. Laditka, JN, Laditka SB, Probst JC. More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions. Health Serv Res. 2005;40(4):1148-1166. https://doi.org/10.1111/j.1475-6773.2005.00403.x
24. Ansar Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev. 2006;63(6):719-741. https://doi.org/10.1177/1077558706293637
25. Mackinko J, de Oliveira VB, Turci MA, Guanais FC, Bonolo PF, Lima-Costa MF. The influence of primary care and hospital supply on ambulatory care-sensitive hospitalizations among adults in Brazil, 1999-2007. Am J Public Health. 2011;101(10):1963-1970. https://doi.org/10.2105/AJPH.2010.198887
26. Gibson OR, Segal L, McDermott RA. A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing. BMC Health Serv Res. 2013;13:336. https://doi.org/10.1186/1472-6963-13-336
27. Vuik SI, Fontana G, Mayer E, Darzi A. Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation. BMJ Open. 2017;7(8):e015704. https://doi.org/10.1136/bmjopen-2016-015704
28. Fried TR, Tinetti M, Agostini J, Iannone L, Towle V. Health outcome prioritization to elicit preferences of older persons with multiple health conditions. Patient Educ Couns. 2011;83(2):278-282. https://doi.org/10.1016/j.pec.2010.04.032
29. Reuben DB, Tinetti ME. Goal-oriented patient care—an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777-779. https://doi.org/10.1056/NEJMp1113631
30. Federman AD, Soones T, DeCherrie LV, Leff B, Siu AL. Association of a bundled hospital-at-home and 30-day postacute transitional care program with clinical outcomes and patient experiences. JAMA Intern Med. 2018;178(8):1033-1040. https://doi.org/10.1001/jamainternmed.2018.2562
31. Shah MN, Wasserman EB, Gillespie SM, et al. High-intensity telemedicine decreases emergency department use for ambulatory care sensitive conditions by older adult senior living community residents. J Am Med Dir Assoc. 2015;16(12):1077-1081. https://doi.org/10.1016/j.jamda.2015.07.009
32. Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations. Med Care. 2003;41(2):198-207. https://doi.org/10.1097/01.MLR.0000045021.70297.9F
33. O’Neil SS, Lake T, Merrill A, Wilson A, Mann DA, Bartnyska LM. Racial disparities in hospitalizations for ambulatory care-sensitive conditions. Am J Prev Med. 2010;38(4):381-388. https://doi.org/10.1016/j.amepre.2009.12.026
34. Pavon JM, Sloane RJ, Pieper RF, et al. Accelerometer-measured hospital physical activity and hospital-acquired disability in older adults. J Am Geriatr Soc. 2020;68:261-265. https://doi.org/10.1111/jgs.16231
35. Sunde S, Hesseberg K, Skelton DA, et al. Effects of a multicomponent high intensity exercise program on physical function and health-related quality of life in older adults with or at risk of mobility disability after discharge from hospital: a randomised controlled trial. BMC Geriatr. 2020;20(1):464. https://doi.org/10.1186/s12877-020-01829-9
36. Hardy SE, Gill TM. Recovery from disability among community-dwelling older persons. JAMA. 2004;291(13):1596-1602. https://doi.org/10.1001/jama.291.13.1596
37. Rotenberg J, Kinosian B, Boling P, Taler G, Independence at Home Learning Collaborative Writing Group. Home-based primary care: beyond extension of the independence at home demonstration. J Am Geriatr Soc. 2018;66(4):812-817. https://doi.org/10.1111/jgs.15314
38. Rodgers W, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52:21-36. https://doi.org/10.1093/geronb/52b.special_issue.21

References

1. Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability: “She was probably able to ambulate, but I’m not sure” JAMA. 2011;306(16):1782-1793. https://doi.org/10.1001/jama.2011.1556
2. Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451-458. https://doi.org/10.1046/j.1532-5415.2003.51152.x
3. Barnes DE, Mehta KM, Boscardin WJ, et al. Prediction of recovery, dependence or death in elders who become disabled during hospitalization. J Gen Intern Med. 2013;28(2):261-268. https://doi.org/10.1007/s11606-012-2226-y
4. Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919-1928. https://doi.org/10.1001/jama.2010.1568
5. Boyd CM, Landefeld CS, Counsell SR, et al. Recovery of activities of daily living in older adults after hospitalization for acute medical illness. J Am Geriatr Soc. 2008;56(12):2171-2179. https://doi.org/10.1111/j.1532-5415.2008.02023.x
6. Loyd C, Markland AD, Zhang Y, et al. Prevalence of hospital-associated disability in older adults: a meta-analysis. J Am Med Dir Assoc. 2020;21(4):455-461. https://doi.org/10.1016/j.jamda.2019.09.015
7. Dharmarajan K, Han L, Gahbauer EA, Leo-Summers LS, Gill TM. Disability and recovery after hospitalization for medical illness among community-living older persons: a prospective cohort study. J Am Geriatr Soc. 2020;68(3):486-495. https://doi.org/10.1111/jgs.16350
8. Levine DA, Davydow DS, Hough CL, Langa KM, Rogers MAM, Iwashyna TJ. Functional disability and cognitive impairment after hospitalization for myocardial infarction and stroke. Circ Cardiovasc Qual Outcomes. 2014;7(6):863-871. https://doi.org/10.1161/HCQ.0000000000000008
9. Iwashyna TJ, Ely EW, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-1794. https://doi.org/10.1001/jama.2010.1553
10. Hodgson K, Deeny SR, Steventon A. Ambulatory care-sensitive conditions: their potential uses and limitations. BMJ Qual Saf. 2019;28(6):429-433. https://doi.org/10.1136/bmjqs-2018-008820
11. Agency for Healthcare Research and Quality (AHRQ). Quality Indicator User Guide: Prevention Quality Indicators (PQI) Composite Measures. Version 2020. Accessed November 10, 2020. https://www.qualityindicators.ahrq.gov/modules/pqi_resources.aspx.
12. Centers for Medicare & Medicaid Services. 2016 Measure information about the hospital admissions for acute and chronic ambulatory care-sensitive condition (ACSC) composite measures, calculated for the 2018 value-based payment modified program. Accessed November 24, 2020. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeedbackProgram/Downloads/2016-ACSC-MIF.pdf.
13. Gill TM, Desai MM, Gahbauer EA, Holford TR, Williams CS. Restricted activity among community-living older persons: incidence, precipitants, and health care utilization. Ann Intern Med. 2001;135(5):313-321. https://doi.org/10.7326/0003-4819-135-5-200109040-00007
14. Gill TM, Hardy SE, Williams CS. Underestimation of disability in community-living older persons. J Am Geriatr Soc. 2002;50(9):1492-1497. https://doi.org/10.1046/j.1532-5415.2002.50403.x
15. Agency for Healthcare Research and Quality. Prevention Quality Indicators Technical Specifications Updates—Version v2018 and 2018.0.1 (ICD 10-CM/PCS), June 2018. Accessed February 4, 2020. https://www.qualityindicators.ahrq.gov/Modules/PQI_TechSpec_ICD10_v2018.aspx.
16. Johnson PJ, Ghildayal N, Ward AC, Westgard BC, Boland LL, Hokanson JS. Disparities in potentially avoidable emergency department (ED) care: ED visits for ambulatory care sensitive conditions. Med Care. 2012;50(12):1020-1028. https://doi.org/10.1097/MLR.0b013e318270bad4
17. Galarraga JE, Mutter R, Pines JM. Costs associated with ambulatory care sensitive conditions across hospital-based settings. Acad Emerg Med. 2015;22(2):172-181. https://doi.org/10.1111/acem.12579
18. Ferrante LE, Pisani MA, Murphy TE, Gahbauer EA, Leo-Summers LS, Gill TM. Functional trajectories among older persons before and after critical illness. JAMA Intern Med. 2015;175(4):523-529. https://doi.org/10.1001/jamainternmed.2014.7889
19. Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG. Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med. 2012;156(2):131-140. https://doi.org/10.7326/0003-4819-156-2-201201170-00009
20. Hardy SE, Gill TM. Factors associated with recovery of independence among newly disabled older persons. Arch Intern Med. 2005;165(1):106-112. https://doi.org/10.1001/archinte.165.1.106
21. Centers for Medicare & Medicaid Services. Nursing Home Quality Initiative—Quality Measures. Accessed June 13, 2021. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures
22. Goodwin JS, Li S, Zhou J, Graham JE, Karmarkar A, Ottenbacher K. Comparison of methods to identify long term care nursing home residence with administrative data. BMC Health Serv Res. 2017;17(1):376. https://doi.org/10.1186/s12913-017-2318-9
23. Laditka, JN, Laditka SB, Probst JC. More may be better: evidence of a negative relationship between physician supply and hospitalization for ambulatory care sensitive conditions. Health Serv Res. 2005;40(4):1148-1166. https://doi.org/10.1111/j.1475-6773.2005.00403.x
24. Ansar Z, Laditka JN, Laditka SB. Access to health care and hospitalization for ambulatory care sensitive conditions. Med Care Res Rev. 2006;63(6):719-741. https://doi.org/10.1177/1077558706293637
25. Mackinko J, de Oliveira VB, Turci MA, Guanais FC, Bonolo PF, Lima-Costa MF. The influence of primary care and hospital supply on ambulatory care-sensitive hospitalizations among adults in Brazil, 1999-2007. Am J Public Health. 2011;101(10):1963-1970. https://doi.org/10.2105/AJPH.2010.198887
26. Gibson OR, Segal L, McDermott RA. A systematic review of evidence on the association between hospitalisation for chronic disease related ambulatory care sensitive conditions and primary health care resourcing. BMC Health Serv Res. 2013;13:336. https://doi.org/10.1186/1472-6963-13-336
27. Vuik SI, Fontana G, Mayer E, Darzi A. Do hospitalisations for ambulatory care sensitive conditions reflect low access to primary care? An observational cohort study of primary care usage prior to hospitalisation. BMJ Open. 2017;7(8):e015704. https://doi.org/10.1136/bmjopen-2016-015704
28. Fried TR, Tinetti M, Agostini J, Iannone L, Towle V. Health outcome prioritization to elicit preferences of older persons with multiple health conditions. Patient Educ Couns. 2011;83(2):278-282. https://doi.org/10.1016/j.pec.2010.04.032
29. Reuben DB, Tinetti ME. Goal-oriented patient care—an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777-779. https://doi.org/10.1056/NEJMp1113631
30. Federman AD, Soones T, DeCherrie LV, Leff B, Siu AL. Association of a bundled hospital-at-home and 30-day postacute transitional care program with clinical outcomes and patient experiences. JAMA Intern Med. 2018;178(8):1033-1040. https://doi.org/10.1001/jamainternmed.2018.2562
31. Shah MN, Wasserman EB, Gillespie SM, et al. High-intensity telemedicine decreases emergency department use for ambulatory care sensitive conditions by older adult senior living community residents. J Am Med Dir Assoc. 2015;16(12):1077-1081. https://doi.org/10.1016/j.jamda.2015.07.009
32. Oster A, Bindman AB. Emergency department visits for ambulatory care sensitive conditions: insights into preventable hospitalizations. Med Care. 2003;41(2):198-207. https://doi.org/10.1097/01.MLR.0000045021.70297.9F
33. O’Neil SS, Lake T, Merrill A, Wilson A, Mann DA, Bartnyska LM. Racial disparities in hospitalizations for ambulatory care-sensitive conditions. Am J Prev Med. 2010;38(4):381-388. https://doi.org/10.1016/j.amepre.2009.12.026
34. Pavon JM, Sloane RJ, Pieper RF, et al. Accelerometer-measured hospital physical activity and hospital-acquired disability in older adults. J Am Geriatr Soc. 2020;68:261-265. https://doi.org/10.1111/jgs.16231
35. Sunde S, Hesseberg K, Skelton DA, et al. Effects of a multicomponent high intensity exercise program on physical function and health-related quality of life in older adults with or at risk of mobility disability after discharge from hospital: a randomised controlled trial. BMC Geriatr. 2020;20(1):464. https://doi.org/10.1186/s12877-020-01829-9
36. Hardy SE, Gill TM. Recovery from disability among community-dwelling older persons. JAMA. 2004;291(13):1596-1602. https://doi.org/10.1001/jama.291.13.1596
37. Rotenberg J, Kinosian B, Boling P, Taler G, Independence at Home Learning Collaborative Writing Group. Home-based primary care: beyond extension of the independence at home demonstration. J Am Geriatr Soc. 2018;66(4):812-817. https://doi.org/10.1111/jgs.15314
38. Rodgers W, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52:21-36. https://doi.org/10.1093/geronb/52b.special_issue.21

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A Longitudinal Analysis of Functional Disability, Recovery, and Nursing Home Utilization After Hospitalization for Ambulatory Care Sensitive Conditions Among Community-Living Older Persons
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Morning Discharges Are Also Not Associated With Emergency Department Boarding Times

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Morning Discharges Are Also Not Associated With Emergency Department Boarding Times

We thank Dr Zorian and colleagues for their editorial1 addressing our retrospective multicenter cohort study, “Morning Discharges and Patient Length-of-Stay in Inpatient General Internal Medicine.”2 Dr Zorian and colleagues raised a question about whether morning discharges were associated with emergency department (ED) boarding times (ie, the time between the decision to admit a patient and their departure from the ED). We also received correspondence from other readers expressing interest in this metric.

We measured the association between morning discharges from general internal medicine (GIM) and ED boarding time using the same methodology and cohort as previously described in our article.2 A total of 37 admissions out of 189,781 admissions (<0.1%) did not have an ED boarding time available and were excluded. The mean (SD) boarding time for the remaining cohort (n = 189,744) was 9.63 (11.67) hours. After categorizing days in the study period into quartiles based on the number of morning discharges from GIM, we did not find a strong unadjusted association with ED boarding times (Table). After multivariable adjustment with negative binomial regression models, as previously described,2 there was a weak, statistically significant association between the number of morning discharges and ED boarding time (adjusted rate ratio, 0.995; 95% CI, 0.991-1.000), corresponding to 2.4 minutes less in ED boarding time for every additional morning discharge. Ultimately, we agree with Dr Zorian and colleagues that instead of focusing on discharge-before-noon, hospitals should consider patient flow and discharge quality more holistically.

Association Between Morning Discharges and Emergency Department Boarding Time in General Internal Medicine

References

1. Zorian A, Shine D, Mourad M. Discharge by noon: toward a better understanding of benefits and costs. J Hosp Med. 2021;16(6):384. https://doi.org/10.12788/jhm.3613
2. Kirubarajan A, Shin S, Fralick M, et al. Morning discharges and patient length of stay in inpatient general internal medicine. J Hosp Med. 2021;16(6):333-338. https://10.12788/jhm.3605

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1Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; 2Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; 3Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada; 4Department of Medicine, University of Toronto, Toronto, Ontario, Canada .

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Drs Razak and Verma report personal fees from Ontario Health, outside the submitted work.

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1Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; 2Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; 3Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada; 4Department of Medicine, University of Toronto, Toronto, Ontario, Canada .

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Drs Razak and Verma report personal fees from Ontario Health, outside the submitted work.

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1Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; 2Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; 3Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada; 4Department of Medicine, University of Toronto, Toronto, Ontario, Canada .

Disclosures
Drs Razak and Verma report personal fees from Ontario Health, outside the submitted work.

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We thank Dr Zorian and colleagues for their editorial1 addressing our retrospective multicenter cohort study, “Morning Discharges and Patient Length-of-Stay in Inpatient General Internal Medicine.”2 Dr Zorian and colleagues raised a question about whether morning discharges were associated with emergency department (ED) boarding times (ie, the time between the decision to admit a patient and their departure from the ED). We also received correspondence from other readers expressing interest in this metric.

We measured the association between morning discharges from general internal medicine (GIM) and ED boarding time using the same methodology and cohort as previously described in our article.2 A total of 37 admissions out of 189,781 admissions (<0.1%) did not have an ED boarding time available and were excluded. The mean (SD) boarding time for the remaining cohort (n = 189,744) was 9.63 (11.67) hours. After categorizing days in the study period into quartiles based on the number of morning discharges from GIM, we did not find a strong unadjusted association with ED boarding times (Table). After multivariable adjustment with negative binomial regression models, as previously described,2 there was a weak, statistically significant association between the number of morning discharges and ED boarding time (adjusted rate ratio, 0.995; 95% CI, 0.991-1.000), corresponding to 2.4 minutes less in ED boarding time for every additional morning discharge. Ultimately, we agree with Dr Zorian and colleagues that instead of focusing on discharge-before-noon, hospitals should consider patient flow and discharge quality more holistically.

Association Between Morning Discharges and Emergency Department Boarding Time in General Internal Medicine

We thank Dr Zorian and colleagues for their editorial1 addressing our retrospective multicenter cohort study, “Morning Discharges and Patient Length-of-Stay in Inpatient General Internal Medicine.”2 Dr Zorian and colleagues raised a question about whether morning discharges were associated with emergency department (ED) boarding times (ie, the time between the decision to admit a patient and their departure from the ED). We also received correspondence from other readers expressing interest in this metric.

We measured the association between morning discharges from general internal medicine (GIM) and ED boarding time using the same methodology and cohort as previously described in our article.2 A total of 37 admissions out of 189,781 admissions (<0.1%) did not have an ED boarding time available and were excluded. The mean (SD) boarding time for the remaining cohort (n = 189,744) was 9.63 (11.67) hours. After categorizing days in the study period into quartiles based on the number of morning discharges from GIM, we did not find a strong unadjusted association with ED boarding times (Table). After multivariable adjustment with negative binomial regression models, as previously described,2 there was a weak, statistically significant association between the number of morning discharges and ED boarding time (adjusted rate ratio, 0.995; 95% CI, 0.991-1.000), corresponding to 2.4 minutes less in ED boarding time for every additional morning discharge. Ultimately, we agree with Dr Zorian and colleagues that instead of focusing on discharge-before-noon, hospitals should consider patient flow and discharge quality more holistically.

Association Between Morning Discharges and Emergency Department Boarding Time in General Internal Medicine

References

1. Zorian A, Shine D, Mourad M. Discharge by noon: toward a better understanding of benefits and costs. J Hosp Med. 2021;16(6):384. https://doi.org/10.12788/jhm.3613
2. Kirubarajan A, Shin S, Fralick M, et al. Morning discharges and patient length of stay in inpatient general internal medicine. J Hosp Med. 2021;16(6):333-338. https://10.12788/jhm.3605

References

1. Zorian A, Shine D, Mourad M. Discharge by noon: toward a better understanding of benefits and costs. J Hosp Med. 2021;16(6):384. https://doi.org/10.12788/jhm.3613
2. Kirubarajan A, Shin S, Fralick M, et al. Morning discharges and patient length of stay in inpatient general internal medicine. J Hosp Med. 2021;16(6):333-338. https://10.12788/jhm.3605

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Morning Discharges Are Also Not Associated With Emergency Department Boarding Times
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Amol A Verma, MD, MPhil; Email: amol.verma@mail.utoronto.ca.
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Moment vs Movement: Mission-Based Tweeting for Physician Advocacy

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Moment vs Movement: Mission-Based Tweeting for Physician Advocacy

“We, the members of the world community of physicians, solemnly commit ourselves to . . . advocate for social, economic, educational and political changes that ameliorate suffering and contribute to human well-being.”

— American Medical Association Oath of Professional Responsibility. 1

As individuals and groups spread misinformation on social media platforms, there is a greater need for physician health advocacy.2 We have learned through the COVID-19 pandemic that rapidly evolving information requires public-facing health experts to address misinformation and explain why healthcare providers and experts make certain recommendations.2 Physicians recognize the potential for benefit from crowdsourcing education, positive publicity, and increasing their reach to a larger platform.3

However, despite social media’s need for such expertise and these recognized benefits, many physicians are hesitant to engage on social media, citing lack of time, interest, or the proper skill set to use it effectively.3 Additional barriers may include uncertainty about employer policies, fear of saying something inaccurate or unprofessional, or inadvertently breaching patient privacy.3 While these are valid concerns, a strategic approach to curating a social media presence focuses less on the moments created by provocative tweets and more on the movement the author wishes to amplify. Here, we propose a framework for effective physician advocacy using a strategy we term Mission-Based Tweeting (MBT).

MISSION-BASED TWEETING

Physicians can use Twitter to engage large audiences.4 MBT focuses an individual’s central message by providing a framework upon which to build such engagement.5 The conceptual framework for a meaningful social media strategy through MBT is anchored on the principle that the impact of our Twitter content is more valuable than the number of followers.6 Using this framework, users begin by creating and defining their identity while engaging in meaningful online interactions. Over time, these interactions will lead to generating influence related to their established identity, which can ultimately impact the social micro-society.6 While an individual’s social media impact can be determined and reinforced through MBT, it remains important to know that MBT is not exemplified in one specific tweet, but rather in the body of work shared by an individual that continuously reinforces the mission.

TWEETING FOR THE MOMENT VS FOR THE MOVEMENT: USING MBT FOR ADVOCACY

Advocacy typically involves using one’s voice to publicly support a specific interest. With that in mind, health advocacy can be divided into two categories: (1) agency, which involves advancing the health of individual patients within a system, and (2) activism, which acts to advance the health of communities or populations or change the structure of the healthcare system.7 While many physicians accept agency as part of their day-to-day job, activism is often more difficult. For example, physicians hoping to engage in health advocacy may be unable to travel to their state or federal legislature buildings, or their employers may restrict their ability to interact with elected officials. The emergence of social media and digital technology has lowered these barriers and created more accessible opportunities for physicians to engage in advocacy efforts. 

Social media can provide an opportunity for clinicians to engage with other healthcare professionals, creating movements that have far-reaching effects across the healthcare spectrum. These movements, often driven by common hashtags, have expanded greatly beyond their originators’ intent, thus demonstrating the power of social media for healthcare activism (Table).4 Physician advocacy can provide accurate information about medical conditions and treatments, dispel myths that may affect patient care, and draw attention to conditions that impact their ability to provide that care. For instance, physicians and medical students recently used Twitter during the COVID-19 pandemic to focus on the real consequences of lack of access to personal protective equipment during the pandemic (Table).8,9 In the past year, physicians have used Twitter to highlight how structural racism perpetuates racial disparities in COVID-19 and to call for action against police brutality and the killing of unarmed Black citizens. Such activism has led to media appearances and even congressional testimony—which has, in turn, provided even larger audiences for clinicians’ advocacy efforts.10 Physicians can also use MBT to advocate for the medical profession. Strategic, mission-based, social media campaigns have focused on including women; Black, Indigenous, and People of Color (BIPOC); doctors with disabilities; and LGBTQ+ physicians in the narrative of what a doctor looks like (Table).11,12

Selected Advocacy Topics and Hashtags Related to Healthcare Advocacy on Social Media

When physicians consider their personal mission statement as it applies to their social media presence, it allows them to connect to something bigger than themselves, while helping guide them away from engagements that do not align with their personal or professional values. In this manner, MBT harnesses an individual’s authenticity and helps build their personal branding, which may ultimately result in more opportunities to advance their mission. In our experience, the constant delivery of mission-based content can even accelerate one’s professional work, help amplify others’ successes and voices, and ultimately lead to more meaningful engagement and activism. 

However, it is important to note that there are potential downsides to engaging on social media, particularly for women and BIPOC users. For example, in a recent online survey, almost a quarter of physicians who responded reported personal attacks on social media, with one in six female physicians reporting sexual harassment.13 This risk may increase as an individual’s visibility and reach increase.

DEVELOP YOUR MISSION STATEMENT

To aid in MBT, we have found it useful to define your personal mission statement, which should succinctly describe your core values, the specific population or cause you serve, and your overarching goals or ideals. For example, someone interested in advocating for health justice might have the following mission statement: “To create and support a healthcare workforce and graduate medical education environment that strives for excellence and values Inclusion, Diversity, Access, and Equity as not only important, but necessary, for excellence.”14 Developing a personal mission statement permits more focus in all activities, including clinical, educational, administrative, or scholarship, and allows one to succinctly communicate important values with others.15 Communicating your personal mission statement concisely can improve the quality of your interactions with others and allows you to more precisely define the qualitative and quantitative impact of your social media engagement.

ENGAGING TO AMPLIFY YOUR MISSION

There are several options for creating and delivering effective mission-driven content on Twitter.16 We propose the Five A’s of MBT (Authenticity is key, Amplify other voices, Accelerate your work, Avoid arguments, Always be professional) to provide a general guide to ensuring that your tweets honor your mission (Figure). While each factor is important, we consider authenticity the most important as it guides consistency of the message, addresses your mission, and invites discussion. In this manner, even when physicians tweet about lived experiences or scientific data that may make some individuals uncomfortable, authenticity can still lead to meaningful engagement.17

The Five A’s of Mission-Based Tweeting

There is synergy between amplifying other voices and accelerating your own work, as both provide an opportunity to highlight your specific advocacy interest. In the earlier example, the physician advocating for health justice may create a thread highlighting inequities in COVID-19 vaccination, including their own data and that of other health justice scholars, and in doing so, provide an invaluable repository of references or speakers for a future project.

We caution that not everyone will agree with your mission, so avoiding arguments and remaining professional in these interactions is paramount. Furthermore, it is also possible that a physician’s mission and opinions may not align with those of their employer, so it is important for social media users to review and clarify their employer’s social media policies to avoid violations and related repercussions. Physicians should tweet as if they were speaking into a microphone on the record, and authenticity should ground them into projecting the same personality online as they would offline.

CONCLUSION

We believe that, by the very nature of their chosen careers, physicians should step into the tension of advocacy. We acknowledge that physicians who are otherwise vocal advocates in other areas of life may be reluctant to engage on social media. However, if the measure of “success” on Twitter is meaningful interaction, sharing knowledge, and amplifying other voices according to a specific personal mission, MBT can be a useful framework. This is a call to action for hesitant physicians to take a leap and explore this platform, and for those already using social media to reevaluate their use and reflect on their mission. Physicians have been gifted a megaphone that can be used to combat misinformation, advocate for patients and the healthcare community, and advance needed discussions to benefit those in society who cannot speak for themselves. We advocate for physicians to look beyond the moment of a tweet and consider how your voice can contribute to a movement.

Acknowledgments

The authors thank Dr Vineet Arora for her contribution to early concept development for this manuscript and the JHM editorial staff for their productive feedback and editorial comments.

References

1. Riddick FA Jr. The code of medical ethics of the American Medical Association. Ochsner J. 2003;5(2):6-10. https://doi.org/10.3201/eid2702.203139
2. Vraga EK, Bode L. Addressing COVID-19 misinformation on social media preemptively and responsively. Emerg Infect Dis. 2021;27(2):396-403. https://doi.org/10.3201/eid2702.203139
3. Campbell L, Evans Y, Pumper M, Moreno MA. Social media use by physicians: a qualitative study of the new frontier of medicine. BMC Med Inform Decis Mak. 2016;16:91. https://doi.org/10.1186/s12911-016-0327-y
4. Wetsman N. How Twitter is changing medical research. Nat Med. 2020;26(1):11-13. https://doi.org/10.1038/s41591-019-0697-7
5. Shapiro M. Episode 107: Vinny Arora & Charlie Wray on Social Media & CVs. Explore The Space Podcast. https://www.explorethespaceshow.com/podcasting/vinny-arora-charlie-wray-on-cvs-social-media/
6. Varghese T. i4 (i to the 4th) is a strategy for #SoMe. Accessed April 22, 2021. https://twitter.com/TomVargheseJr/status/1027181443712081920?s=20
7. Dobson S, Voyer S, Regehr G. Perspective: agency and activism: rethinking health advocacy in the medical profession. Acad Med. 2012;87(9):1161-1164. https://doi.org/10.1097/ACM.0b013e3182621c25
8. #GetMePPE. Accessed April 22, 2021. https://twitter.com/hashtag/getmeppe?f=live
9. Ouyang H. At the front lines of coronavirus, turning to social media. The New York Times. March 18, 2020. Accessed April 22, 2021. https://www.nytimes.com/2020/03/18/well/live/coronavirus-doctors-facebook-twitter-social-media-covid.html
10. Blackstock U. Combining social media advocacy with health policy advocacy. Accessed April 22, 2021. https://twitter.com/uche_blackstock/status/1270413367761666048?s=20
11. Meeks LM, Liao P, Kim N. Using Twitter to promote awareness of disabilities in medicine. Med Educ. 2019;53(5):525-526. https://doi.org/10.1111/medu.13836
12. Nolen L. To all the little brown girls out there “you can’t be what you can’t see but I hope you see me now and that you see yourself in me.” Accessed April 22, 2021. https://twitter.com/LashNolen/status/1160901502266777600?s=20.
13. Pendergrast TR, Jain S, Trueger NS, Gottlieb M, Woitowich NC, Arora VM. Prevalence of personal attacks and sexual harassment of physicians on social media. JAMA Intern Med. 2021;181(4):550-552. https://doi.org/10.1001/jamainternmed.2020.7235
14. Marcelin JR. Personal mission statement. Accessed July 6, 2021. https://www.unmc.edu/intmed/residencies-fellowships/residency/diverse-taskforce/index.html.
15. Li S-TT, Frohna JG, Bostwick SB. Using your personal mission statement to INSPIRE and achieve success. Acad Pediatr. 2017;17(2):107-109. https://doi.org/10.1016/j.acap.2016.11.010
16. Alton L. 7 tips for creating engaging content every day. Accessed April 22, 2021. https://business.twitter.com/en/blog/7-tips-creating-engaging-content-every-day.html
17. Boyd R. Is everyone reading this??! Accessed April 22, 2021. https://twitter.com/RheaBoydMD/status/1273006362679578625?s=20

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The authors have no conflicts of interest to disclose.

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1Division of Infectious Diseases, University of Nebraska Medical Center, Omaha, Nebraska; 2Divisions of Infectious Diseases and Critical Care, University of Nebraska Medical Center, Omaha, Nebraska; 3Providence Medical Group-Sonoma County, Santa Rosa California; 4University of Utah, Salt Lake City, Utah; 5Oregon Health & Science University, Portland, Oregon.

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The authors have no conflicts of interest to disclose.

Author and Disclosure Information

1Division of Infectious Diseases, University of Nebraska Medical Center, Omaha, Nebraska; 2Divisions of Infectious Diseases and Critical Care, University of Nebraska Medical Center, Omaha, Nebraska; 3Providence Medical Group-Sonoma County, Santa Rosa California; 4University of Utah, Salt Lake City, Utah; 5Oregon Health & Science University, Portland, Oregon.

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Related Articles

“We, the members of the world community of physicians, solemnly commit ourselves to . . . advocate for social, economic, educational and political changes that ameliorate suffering and contribute to human well-being.”

— American Medical Association Oath of Professional Responsibility. 1

As individuals and groups spread misinformation on social media platforms, there is a greater need for physician health advocacy.2 We have learned through the COVID-19 pandemic that rapidly evolving information requires public-facing health experts to address misinformation and explain why healthcare providers and experts make certain recommendations.2 Physicians recognize the potential for benefit from crowdsourcing education, positive publicity, and increasing their reach to a larger platform.3

However, despite social media’s need for such expertise and these recognized benefits, many physicians are hesitant to engage on social media, citing lack of time, interest, or the proper skill set to use it effectively.3 Additional barriers may include uncertainty about employer policies, fear of saying something inaccurate or unprofessional, or inadvertently breaching patient privacy.3 While these are valid concerns, a strategic approach to curating a social media presence focuses less on the moments created by provocative tweets and more on the movement the author wishes to amplify. Here, we propose a framework for effective physician advocacy using a strategy we term Mission-Based Tweeting (MBT).

MISSION-BASED TWEETING

Physicians can use Twitter to engage large audiences.4 MBT focuses an individual’s central message by providing a framework upon which to build such engagement.5 The conceptual framework for a meaningful social media strategy through MBT is anchored on the principle that the impact of our Twitter content is more valuable than the number of followers.6 Using this framework, users begin by creating and defining their identity while engaging in meaningful online interactions. Over time, these interactions will lead to generating influence related to their established identity, which can ultimately impact the social micro-society.6 While an individual’s social media impact can be determined and reinforced through MBT, it remains important to know that MBT is not exemplified in one specific tweet, but rather in the body of work shared by an individual that continuously reinforces the mission.

TWEETING FOR THE MOMENT VS FOR THE MOVEMENT: USING MBT FOR ADVOCACY

Advocacy typically involves using one’s voice to publicly support a specific interest. With that in mind, health advocacy can be divided into two categories: (1) agency, which involves advancing the health of individual patients within a system, and (2) activism, which acts to advance the health of communities or populations or change the structure of the healthcare system.7 While many physicians accept agency as part of their day-to-day job, activism is often more difficult. For example, physicians hoping to engage in health advocacy may be unable to travel to their state or federal legislature buildings, or their employers may restrict their ability to interact with elected officials. The emergence of social media and digital technology has lowered these barriers and created more accessible opportunities for physicians to engage in advocacy efforts. 

Social media can provide an opportunity for clinicians to engage with other healthcare professionals, creating movements that have far-reaching effects across the healthcare spectrum. These movements, often driven by common hashtags, have expanded greatly beyond their originators’ intent, thus demonstrating the power of social media for healthcare activism (Table).4 Physician advocacy can provide accurate information about medical conditions and treatments, dispel myths that may affect patient care, and draw attention to conditions that impact their ability to provide that care. For instance, physicians and medical students recently used Twitter during the COVID-19 pandemic to focus on the real consequences of lack of access to personal protective equipment during the pandemic (Table).8,9 In the past year, physicians have used Twitter to highlight how structural racism perpetuates racial disparities in COVID-19 and to call for action against police brutality and the killing of unarmed Black citizens. Such activism has led to media appearances and even congressional testimony—which has, in turn, provided even larger audiences for clinicians’ advocacy efforts.10 Physicians can also use MBT to advocate for the medical profession. Strategic, mission-based, social media campaigns have focused on including women; Black, Indigenous, and People of Color (BIPOC); doctors with disabilities; and LGBTQ+ physicians in the narrative of what a doctor looks like (Table).11,12

Selected Advocacy Topics and Hashtags Related to Healthcare Advocacy on Social Media

When physicians consider their personal mission statement as it applies to their social media presence, it allows them to connect to something bigger than themselves, while helping guide them away from engagements that do not align with their personal or professional values. In this manner, MBT harnesses an individual’s authenticity and helps build their personal branding, which may ultimately result in more opportunities to advance their mission. In our experience, the constant delivery of mission-based content can even accelerate one’s professional work, help amplify others’ successes and voices, and ultimately lead to more meaningful engagement and activism. 

However, it is important to note that there are potential downsides to engaging on social media, particularly for women and BIPOC users. For example, in a recent online survey, almost a quarter of physicians who responded reported personal attacks on social media, with one in six female physicians reporting sexual harassment.13 This risk may increase as an individual’s visibility and reach increase.

DEVELOP YOUR MISSION STATEMENT

To aid in MBT, we have found it useful to define your personal mission statement, which should succinctly describe your core values, the specific population or cause you serve, and your overarching goals or ideals. For example, someone interested in advocating for health justice might have the following mission statement: “To create and support a healthcare workforce and graduate medical education environment that strives for excellence and values Inclusion, Diversity, Access, and Equity as not only important, but necessary, for excellence.”14 Developing a personal mission statement permits more focus in all activities, including clinical, educational, administrative, or scholarship, and allows one to succinctly communicate important values with others.15 Communicating your personal mission statement concisely can improve the quality of your interactions with others and allows you to more precisely define the qualitative and quantitative impact of your social media engagement.

ENGAGING TO AMPLIFY YOUR MISSION

There are several options for creating and delivering effective mission-driven content on Twitter.16 We propose the Five A’s of MBT (Authenticity is key, Amplify other voices, Accelerate your work, Avoid arguments, Always be professional) to provide a general guide to ensuring that your tweets honor your mission (Figure). While each factor is important, we consider authenticity the most important as it guides consistency of the message, addresses your mission, and invites discussion. In this manner, even when physicians tweet about lived experiences or scientific data that may make some individuals uncomfortable, authenticity can still lead to meaningful engagement.17

The Five A’s of Mission-Based Tweeting

There is synergy between amplifying other voices and accelerating your own work, as both provide an opportunity to highlight your specific advocacy interest. In the earlier example, the physician advocating for health justice may create a thread highlighting inequities in COVID-19 vaccination, including their own data and that of other health justice scholars, and in doing so, provide an invaluable repository of references or speakers for a future project.

We caution that not everyone will agree with your mission, so avoiding arguments and remaining professional in these interactions is paramount. Furthermore, it is also possible that a physician’s mission and opinions may not align with those of their employer, so it is important for social media users to review and clarify their employer’s social media policies to avoid violations and related repercussions. Physicians should tweet as if they were speaking into a microphone on the record, and authenticity should ground them into projecting the same personality online as they would offline.

CONCLUSION

We believe that, by the very nature of their chosen careers, physicians should step into the tension of advocacy. We acknowledge that physicians who are otherwise vocal advocates in other areas of life may be reluctant to engage on social media. However, if the measure of “success” on Twitter is meaningful interaction, sharing knowledge, and amplifying other voices according to a specific personal mission, MBT can be a useful framework. This is a call to action for hesitant physicians to take a leap and explore this platform, and for those already using social media to reevaluate their use and reflect on their mission. Physicians have been gifted a megaphone that can be used to combat misinformation, advocate for patients and the healthcare community, and advance needed discussions to benefit those in society who cannot speak for themselves. We advocate for physicians to look beyond the moment of a tweet and consider how your voice can contribute to a movement.

Acknowledgments

The authors thank Dr Vineet Arora for her contribution to early concept development for this manuscript and the JHM editorial staff for their productive feedback and editorial comments.

“We, the members of the world community of physicians, solemnly commit ourselves to . . . advocate for social, economic, educational and political changes that ameliorate suffering and contribute to human well-being.”

— American Medical Association Oath of Professional Responsibility. 1

As individuals and groups spread misinformation on social media platforms, there is a greater need for physician health advocacy.2 We have learned through the COVID-19 pandemic that rapidly evolving information requires public-facing health experts to address misinformation and explain why healthcare providers and experts make certain recommendations.2 Physicians recognize the potential for benefit from crowdsourcing education, positive publicity, and increasing their reach to a larger platform.3

However, despite social media’s need for such expertise and these recognized benefits, many physicians are hesitant to engage on social media, citing lack of time, interest, or the proper skill set to use it effectively.3 Additional barriers may include uncertainty about employer policies, fear of saying something inaccurate or unprofessional, or inadvertently breaching patient privacy.3 While these are valid concerns, a strategic approach to curating a social media presence focuses less on the moments created by provocative tweets and more on the movement the author wishes to amplify. Here, we propose a framework for effective physician advocacy using a strategy we term Mission-Based Tweeting (MBT).

MISSION-BASED TWEETING

Physicians can use Twitter to engage large audiences.4 MBT focuses an individual’s central message by providing a framework upon which to build such engagement.5 The conceptual framework for a meaningful social media strategy through MBT is anchored on the principle that the impact of our Twitter content is more valuable than the number of followers.6 Using this framework, users begin by creating and defining their identity while engaging in meaningful online interactions. Over time, these interactions will lead to generating influence related to their established identity, which can ultimately impact the social micro-society.6 While an individual’s social media impact can be determined and reinforced through MBT, it remains important to know that MBT is not exemplified in one specific tweet, but rather in the body of work shared by an individual that continuously reinforces the mission.

TWEETING FOR THE MOMENT VS FOR THE MOVEMENT: USING MBT FOR ADVOCACY

Advocacy typically involves using one’s voice to publicly support a specific interest. With that in mind, health advocacy can be divided into two categories: (1) agency, which involves advancing the health of individual patients within a system, and (2) activism, which acts to advance the health of communities or populations or change the structure of the healthcare system.7 While many physicians accept agency as part of their day-to-day job, activism is often more difficult. For example, physicians hoping to engage in health advocacy may be unable to travel to their state or federal legislature buildings, or their employers may restrict their ability to interact with elected officials. The emergence of social media and digital technology has lowered these barriers and created more accessible opportunities for physicians to engage in advocacy efforts. 

Social media can provide an opportunity for clinicians to engage with other healthcare professionals, creating movements that have far-reaching effects across the healthcare spectrum. These movements, often driven by common hashtags, have expanded greatly beyond their originators’ intent, thus demonstrating the power of social media for healthcare activism (Table).4 Physician advocacy can provide accurate information about medical conditions and treatments, dispel myths that may affect patient care, and draw attention to conditions that impact their ability to provide that care. For instance, physicians and medical students recently used Twitter during the COVID-19 pandemic to focus on the real consequences of lack of access to personal protective equipment during the pandemic (Table).8,9 In the past year, physicians have used Twitter to highlight how structural racism perpetuates racial disparities in COVID-19 and to call for action against police brutality and the killing of unarmed Black citizens. Such activism has led to media appearances and even congressional testimony—which has, in turn, provided even larger audiences for clinicians’ advocacy efforts.10 Physicians can also use MBT to advocate for the medical profession. Strategic, mission-based, social media campaigns have focused on including women; Black, Indigenous, and People of Color (BIPOC); doctors with disabilities; and LGBTQ+ physicians in the narrative of what a doctor looks like (Table).11,12

Selected Advocacy Topics and Hashtags Related to Healthcare Advocacy on Social Media

When physicians consider their personal mission statement as it applies to their social media presence, it allows them to connect to something bigger than themselves, while helping guide them away from engagements that do not align with their personal or professional values. In this manner, MBT harnesses an individual’s authenticity and helps build their personal branding, which may ultimately result in more opportunities to advance their mission. In our experience, the constant delivery of mission-based content can even accelerate one’s professional work, help amplify others’ successes and voices, and ultimately lead to more meaningful engagement and activism. 

However, it is important to note that there are potential downsides to engaging on social media, particularly for women and BIPOC users. For example, in a recent online survey, almost a quarter of physicians who responded reported personal attacks on social media, with one in six female physicians reporting sexual harassment.13 This risk may increase as an individual’s visibility and reach increase.

DEVELOP YOUR MISSION STATEMENT

To aid in MBT, we have found it useful to define your personal mission statement, which should succinctly describe your core values, the specific population or cause you serve, and your overarching goals or ideals. For example, someone interested in advocating for health justice might have the following mission statement: “To create and support a healthcare workforce and graduate medical education environment that strives for excellence and values Inclusion, Diversity, Access, and Equity as not only important, but necessary, for excellence.”14 Developing a personal mission statement permits more focus in all activities, including clinical, educational, administrative, or scholarship, and allows one to succinctly communicate important values with others.15 Communicating your personal mission statement concisely can improve the quality of your interactions with others and allows you to more precisely define the qualitative and quantitative impact of your social media engagement.

ENGAGING TO AMPLIFY YOUR MISSION

There are several options for creating and delivering effective mission-driven content on Twitter.16 We propose the Five A’s of MBT (Authenticity is key, Amplify other voices, Accelerate your work, Avoid arguments, Always be professional) to provide a general guide to ensuring that your tweets honor your mission (Figure). While each factor is important, we consider authenticity the most important as it guides consistency of the message, addresses your mission, and invites discussion. In this manner, even when physicians tweet about lived experiences or scientific data that may make some individuals uncomfortable, authenticity can still lead to meaningful engagement.17

The Five A’s of Mission-Based Tweeting

There is synergy between amplifying other voices and accelerating your own work, as both provide an opportunity to highlight your specific advocacy interest. In the earlier example, the physician advocating for health justice may create a thread highlighting inequities in COVID-19 vaccination, including their own data and that of other health justice scholars, and in doing so, provide an invaluable repository of references or speakers for a future project.

We caution that not everyone will agree with your mission, so avoiding arguments and remaining professional in these interactions is paramount. Furthermore, it is also possible that a physician’s mission and opinions may not align with those of their employer, so it is important for social media users to review and clarify their employer’s social media policies to avoid violations and related repercussions. Physicians should tweet as if they were speaking into a microphone on the record, and authenticity should ground them into projecting the same personality online as they would offline.

CONCLUSION

We believe that, by the very nature of their chosen careers, physicians should step into the tension of advocacy. We acknowledge that physicians who are otherwise vocal advocates in other areas of life may be reluctant to engage on social media. However, if the measure of “success” on Twitter is meaningful interaction, sharing knowledge, and amplifying other voices according to a specific personal mission, MBT can be a useful framework. This is a call to action for hesitant physicians to take a leap and explore this platform, and for those already using social media to reevaluate their use and reflect on their mission. Physicians have been gifted a megaphone that can be used to combat misinformation, advocate for patients and the healthcare community, and advance needed discussions to benefit those in society who cannot speak for themselves. We advocate for physicians to look beyond the moment of a tweet and consider how your voice can contribute to a movement.

Acknowledgments

The authors thank Dr Vineet Arora for her contribution to early concept development for this manuscript and the JHM editorial staff for their productive feedback and editorial comments.

References

1. Riddick FA Jr. The code of medical ethics of the American Medical Association. Ochsner J. 2003;5(2):6-10. https://doi.org/10.3201/eid2702.203139
2. Vraga EK, Bode L. Addressing COVID-19 misinformation on social media preemptively and responsively. Emerg Infect Dis. 2021;27(2):396-403. https://doi.org/10.3201/eid2702.203139
3. Campbell L, Evans Y, Pumper M, Moreno MA. Social media use by physicians: a qualitative study of the new frontier of medicine. BMC Med Inform Decis Mak. 2016;16:91. https://doi.org/10.1186/s12911-016-0327-y
4. Wetsman N. How Twitter is changing medical research. Nat Med. 2020;26(1):11-13. https://doi.org/10.1038/s41591-019-0697-7
5. Shapiro M. Episode 107: Vinny Arora & Charlie Wray on Social Media & CVs. Explore The Space Podcast. https://www.explorethespaceshow.com/podcasting/vinny-arora-charlie-wray-on-cvs-social-media/
6. Varghese T. i4 (i to the 4th) is a strategy for #SoMe. Accessed April 22, 2021. https://twitter.com/TomVargheseJr/status/1027181443712081920?s=20
7. Dobson S, Voyer S, Regehr G. Perspective: agency and activism: rethinking health advocacy in the medical profession. Acad Med. 2012;87(9):1161-1164. https://doi.org/10.1097/ACM.0b013e3182621c25
8. #GetMePPE. Accessed April 22, 2021. https://twitter.com/hashtag/getmeppe?f=live
9. Ouyang H. At the front lines of coronavirus, turning to social media. The New York Times. March 18, 2020. Accessed April 22, 2021. https://www.nytimes.com/2020/03/18/well/live/coronavirus-doctors-facebook-twitter-social-media-covid.html
10. Blackstock U. Combining social media advocacy with health policy advocacy. Accessed April 22, 2021. https://twitter.com/uche_blackstock/status/1270413367761666048?s=20
11. Meeks LM, Liao P, Kim N. Using Twitter to promote awareness of disabilities in medicine. Med Educ. 2019;53(5):525-526. https://doi.org/10.1111/medu.13836
12. Nolen L. To all the little brown girls out there “you can’t be what you can’t see but I hope you see me now and that you see yourself in me.” Accessed April 22, 2021. https://twitter.com/LashNolen/status/1160901502266777600?s=20.
13. Pendergrast TR, Jain S, Trueger NS, Gottlieb M, Woitowich NC, Arora VM. Prevalence of personal attacks and sexual harassment of physicians on social media. JAMA Intern Med. 2021;181(4):550-552. https://doi.org/10.1001/jamainternmed.2020.7235
14. Marcelin JR. Personal mission statement. Accessed July 6, 2021. https://www.unmc.edu/intmed/residencies-fellowships/residency/diverse-taskforce/index.html.
15. Li S-TT, Frohna JG, Bostwick SB. Using your personal mission statement to INSPIRE and achieve success. Acad Pediatr. 2017;17(2):107-109. https://doi.org/10.1016/j.acap.2016.11.010
16. Alton L. 7 tips for creating engaging content every day. Accessed April 22, 2021. https://business.twitter.com/en/blog/7-tips-creating-engaging-content-every-day.html
17. Boyd R. Is everyone reading this??! Accessed April 22, 2021. https://twitter.com/RheaBoydMD/status/1273006362679578625?s=20

References

1. Riddick FA Jr. The code of medical ethics of the American Medical Association. Ochsner J. 2003;5(2):6-10. https://doi.org/10.3201/eid2702.203139
2. Vraga EK, Bode L. Addressing COVID-19 misinformation on social media preemptively and responsively. Emerg Infect Dis. 2021;27(2):396-403. https://doi.org/10.3201/eid2702.203139
3. Campbell L, Evans Y, Pumper M, Moreno MA. Social media use by physicians: a qualitative study of the new frontier of medicine. BMC Med Inform Decis Mak. 2016;16:91. https://doi.org/10.1186/s12911-016-0327-y
4. Wetsman N. How Twitter is changing medical research. Nat Med. 2020;26(1):11-13. https://doi.org/10.1038/s41591-019-0697-7
5. Shapiro M. Episode 107: Vinny Arora & Charlie Wray on Social Media & CVs. Explore The Space Podcast. https://www.explorethespaceshow.com/podcasting/vinny-arora-charlie-wray-on-cvs-social-media/
6. Varghese T. i4 (i to the 4th) is a strategy for #SoMe. Accessed April 22, 2021. https://twitter.com/TomVargheseJr/status/1027181443712081920?s=20
7. Dobson S, Voyer S, Regehr G. Perspective: agency and activism: rethinking health advocacy in the medical profession. Acad Med. 2012;87(9):1161-1164. https://doi.org/10.1097/ACM.0b013e3182621c25
8. #GetMePPE. Accessed April 22, 2021. https://twitter.com/hashtag/getmeppe?f=live
9. Ouyang H. At the front lines of coronavirus, turning to social media. The New York Times. March 18, 2020. Accessed April 22, 2021. https://www.nytimes.com/2020/03/18/well/live/coronavirus-doctors-facebook-twitter-social-media-covid.html
10. Blackstock U. Combining social media advocacy with health policy advocacy. Accessed April 22, 2021. https://twitter.com/uche_blackstock/status/1270413367761666048?s=20
11. Meeks LM, Liao P, Kim N. Using Twitter to promote awareness of disabilities in medicine. Med Educ. 2019;53(5):525-526. https://doi.org/10.1111/medu.13836
12. Nolen L. To all the little brown girls out there “you can’t be what you can’t see but I hope you see me now and that you see yourself in me.” Accessed April 22, 2021. https://twitter.com/LashNolen/status/1160901502266777600?s=20.
13. Pendergrast TR, Jain S, Trueger NS, Gottlieb M, Woitowich NC, Arora VM. Prevalence of personal attacks and sexual harassment of physicians on social media. JAMA Intern Med. 2021;181(4):550-552. https://doi.org/10.1001/jamainternmed.2020.7235
14. Marcelin JR. Personal mission statement. Accessed July 6, 2021. https://www.unmc.edu/intmed/residencies-fellowships/residency/diverse-taskforce/index.html.
15. Li S-TT, Frohna JG, Bostwick SB. Using your personal mission statement to INSPIRE and achieve success. Acad Pediatr. 2017;17(2):107-109. https://doi.org/10.1016/j.acap.2016.11.010
16. Alton L. 7 tips for creating engaging content every day. Accessed April 22, 2021. https://business.twitter.com/en/blog/7-tips-creating-engaging-content-every-day.html
17. Boyd R. Is everyone reading this??! Accessed April 22, 2021. https://twitter.com/RheaBoydMD/status/1273006362679578625?s=20

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A Short-Lived Crisis

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A Short-Lived Crisis

A 79-year-old woman presented to the emergency department with 1 day of nausea and vomiting. On the morning of presentation, she felt mild cramping in her legs and vomited twice. She denied chest or back pain, dyspnea, diaphoresis, cough, fever, dysuria, headache, and abdominal pain. Her medical history included hypertension, osteoporosis, and a right-sided acoustic neuroma treated with radiation 12 years prior. One month before this presentation, type 2 diabetes mellitus was diagnosed (hemoglobin A1c level, 7.3%) on routine testing by her primary care physician. Her medications were losartan and alendronate. She was born in China and immigrated to the United States 50 years prior. Her husband was chronically ill with several recent hospitalizations.

Nausea and vomiting are nonspecific symptoms that can arise from systemic illness, including hyperglycemia, a drug/toxin effect, or injury/inflammation of the gastrointestinal, central nervous system, or cardiovascular systems. An acoustic neuroma recurrence or malignancy in the radiation field could trigger nausea. Muscle cramping could arise from myositis or from hypokalemia secondary to vomiting. Her husband’s recent hospitalizations add an important psychosocial dimension to her care and should prompt consideration of a shared illness depending on the nature of his illness.

The patient’s temperature was 36.7 °C; heart rate, 99 beats per minute; blood pressure, 94/58 mm Hg;respiratory rate, 16 breaths per minute; and oxygen saturation, 98% while breathing room air. Her body mass index (BMI) was 18.7 kg/m2. She appeared comfortable. The heart, lung, jugular venous, and abdominal examinations were normal. She had no lower extremity edema or muscle tenderness.

The white blood cell (WBC) count was 14,500/µL (81% neutrophils, 9% lymphocytes, 8% monocytes), hemoglobin level was 17.5 g/dL (elevated from 14.2 g/dL 8 weeks prior), and platelet count was 238,000/µL. The metabolic panel revealed the following values: sodium, 139 mmol/L; potassium, 5.1 mmol/L; chloride, 96 mmol/L; bicarbonate, 17 mmol/L; blood urea nitrogen, 40 mg/dL; creatinine, 2.2 mg/dL (elevated from 0.7 mg/dL 8 weeks prior); glucose, 564 mg/dL; aspartate transaminase, 108 U/L; alanine transaminase, 130 U/L; total bilirubin, 0.6 mg/dL; and alkaline phosphatase, 105 U/L. Creatine kinase, amylase, and lipase levels were not measured. The urinalysis showed trace ketones, protein 100 mg/dL, glucose >500 mg/dL, and <5 WBCs per high-power field. The venous blood gas demonstrated a pH of 7.20 and lactate level of 13.2 mmol/L. Serum beta-hydroxybutyrate level was 0.27 mmol/L (reference range, 0.02-0.27), serum troponin I level was 8.5 µg/L (reference range, <0.05), and B-type natriuretic peptide level was 1850 pg/mL (reference range, <181).

Chest x-ray showed bilateral perihilar opacities with normal heart size. Electrocardiogram (ECG) revealed new ST-segment depressions in the anterior precordial leads (Figure 1).

Electrocardiogram

Her hypotension may signal septic, cardiogenic, or hypovolemic shock. The leukocytosis, anion gap acidosis, acute kidney injury, and elevated lactate are compatible with sepsis, although there is no identified source of infection. Although diabetic ketoacidosis (DKA) can explain many of these findings, the serum beta-hydroxybutyrate and urine ketones are lower than expected for that condition. Her low-normal BMI makes significant insulin resistance less likely and raises concern about pancreatic adenocarcinoma as a secondary cause of diabetes.

The nausea, ST depressions, elevated troponin and B-type natriuretic peptide levels, and bilateral infiltrates suggest acute coronary syndrome (ACS), complicated by acute heart failure leading to systemic hypoperfusion and associated lactic acidosis and kidney injury. Nonischemic causes of myocardial injury, such as sepsis, myocarditis, and stress cardiomyopathy, should also be considered. Alternatively, she could be experiencing multiorgan injury from widespread embolism (eg, endocarditis), thrombosis (eg, antiphospholipid syndrome), or inflammation (eg, vasculitis). Acute pancreatitis can cause acute hyperglycemia and multisystem disease, but she did not have abdominal pain or tenderness (and her lipase level was not measured). Treatment should include intravenous insulin, intravenous fluids (trying to balance possible sepsis or DKA with heart failure), medical management for non-ST elevation myocardial infarction (NSTEMI), and empiric antibiotics.

ACS was diagnosed, and aspirin, atorvastatin, clopidogrel, and heparin were prescribed. Insulin infusion and intravenous fluids (approximately 3 L overnight) were administered for hyperglycemia (and possible early DKA). On the night of admission, the patient became profoundly diaphoretic without fevers; the WBC count rose to 24,200/µL. Vancomycin and ertapenem were initiated for possible sepsis. Serum troponin I level increased to 11.9 µg/L; the patient did not have chest pain, and the ECG was unchanged.

The next morning, the patient reported new mild diffuse abdominal pain and had mild epigastric tenderness. The WBC count was 28,900/µL; hemoglobin, 13.2 g/dL; venous pH, 7.39; lactate, 2.9 mmol/L; lipase, 48 U/L; aspartate transaminase, 84 U/L; alanine transaminase, 72 U/L; total bilirubin, 0.7 mg/dL; alkaline phosphatase, 64 U/L; and creatinine, 1.2 mg/dL.

Her rising troponin without dynamic ECG changes makes the diagnosis of ACS less likely, although myocardial ischemia can present as abdominal pain. Other causes of myocardial injury to consider (in addition to the previously mentioned sepsis, myocarditis, and stress cardiomyopathy) are pulmonary embolism and proximal aortic dissection. The latter can lead to ischemia in multiple systems (cardiac, mesenteric, renal, and lower extremity, recalling her leg cramps on admission).

The leukocytosis and lactic acidosis in the setting of new abdominal pain raises the question of mesenteric ischemia or intra-abdominal sepsis. Her hemoglobin has decreased by 4 g, and while some of the change may be dilutional, it will be important to consider hemolysis (less likely with a normal bilirubin) or gastrointestinal bleeding (given current anticoagulant and antiplatelet therapy). An echocardiogram and computed tomography (CT) angiogram of the chest, abdomen, and pelvis are indicated to evaluate the vasculature and assess for intra-abdominal pathology.

Coronary angiography revealed a 40% stenosis in the proximal right coronary artery and no other angiographically significant disease; the left ventricular end-diastolic pressure (LVEDP) was 30 mm Hg. Transthoracic echocardiography demonstrated normal left ventricular size, left ventricular ejection fraction of 65% to 70%, impaired left ventricular relaxation, and an inferior vena cava <2 cm in diameter that collapsed with inspiration.

The angiogram shows modest coronary artery disease and points away from plaque rupture as the cause of myocardial injury. Another important consideration given her husband’s recurrent illness is stress cardiomyopathy, but she does not have the typical apical ballooning or left ventricular dysfunction. The increased LVEDP with normal left ventricular size and function with elevated filling pressures is consistent with left-sided heart failure with preserved ejection fraction. Cardiac magnetic resonance imaging could exclude an infiltrative disorder leading to diastolic dysfunction or a myocarditis that explains the troponin elevation, but both diagnoses seem unlikely.

CT of the abdomen and pelvis demonstrated a heterogeneous 3-cm mass in the left adrenal gland (Figure 2).

Computed Tomography Image

An adrenal mass could be a functional or nonfunctional adenoma, primary adrenal carcinoma, a metastatic malignancy, or granulomatous infection such as tuberculosis. Secretion of excess glucocorticoid, mineralocorticoid, or catecholamine should be evaluated.

Cushing syndrome could explain her hyperglycemia, leukocytosis, and heart failure (mediated by the increased risk of atherosclerosis and hypertension with hypercortisolism), although her low BMI is atypical. Primary hyperaldosteronism causes hypertension but does not cause an acute multisystem disease. Pheochromocytoma could account for the diaphoresis, hypertension, hyperglycemia, leukocytosis, and cardiac injury. A more severe form—pheochromocytoma crisis—is characterized by widespread end-organ damage, including cardiomyopathy, bowel ischemia, hepatitis, hyperglycemia with ketoacidosis, and lactic acidosis. Measurement of serum cortisol and plasma and urine fractionated metanephrines, and a dexamethasone suppression test can determine whether the adrenal mass is functional.

The intravenous insulin infusion was changed to subcutaneous dosing on hospital day 2. She had no further nausea, diaphoresis, or abdominal pain, was walking around the hospital unit unassisted, and was consuming a regular diet. By hospital day 3, insulin was discontinued. The patient remained euglycemic for the remainder of her hospitalization; hemoglobin A1c value was 7.0%. Blood cultures were sterile, and the WBC count was 12,000/µL. Thyroid-stimulating hormone level was 0.31 mIU/L (reference range, 0.45-4.12), and the free thyroxine level was 12 pmol/L (reference range, 10-18). Antibiotics were discontinued. She remained euvolemic and never required diuretic therapy. The acute myocardial injury and diastolic dysfunction were attributed to an acute stress cardiomyopathy arising from the strain of her husband’s declining health. She was discharged on hospital day 5 with aspirin, atorvastatin, metoprolol, lisinopril, and outpatient follow-up.

The rapid resolution of her multisystem process suggests a self-limited process or successful treatment of the underlying cause. Although she received antibiotics, a bacterial infection never manifested. Cardiomyopathy with a high troponin level, ECG changes, and early heart failure often requires aggressive supportive measures, which were not required here. The rapid cessation of hyperglycemia and an insulin requirement within 1 day is atypical for DKA.

Pheochromocytoma is a rare secondary cause of diabetes in which excess catecholamines cause insulin resistance and suppress insulin release. It can explain both the adrenal mass and, in the form of pheochromocytoma crisis, the severe multisystem injury. However, the patient’s hypotension (which could be explained by concomitant cardiomyopathy) and older age are not typical for pheochromocytoma.

Results of testing for adrenal biomarkers, which were sent during her hospitalization, returned several days after hospital discharge. The plasma free metanephrine level was 687 pg/mL (reference range, <57) and the plasma free normetanephrine level was 508 pg/mL (reference range, <148). Metoprolol was discontinued by her primary care physician.

Elevated plasma free metanephrine and normetanephrine levels were confirmed in the endocrinology clinic 3 weeks later. The 24-hour urine metanephrine level was 1497 µg/24 hours (reference range, 90-315), and the 24-hour urine normetanephrine level was 379 µg/24 hours (reference range, 122-676). Serum aldosterone level was 8 ng/dL (reference range, 3-16), and morning cortisol level was 8 µg/dL (reference range, 4-19). Lisinopril was discontinued, and phenoxybenzamine was prescribed.

Adrenal-protocol CT of the abdomen demonstrated that the left adrenal mass was enhanced by contrast without definite washout, which could be consistent with a pheochromocytoma.

The diagnosis of pheochromocytoma has been confirmed by biochemistry and imaging. It was appropriate to stop metoprolol, as β-blockade can lead to unopposed α-receptor agonism and hypertension. Implementation of α-blockade with phenoxybenzamine and endocrine surgery referral are indicated.

On the day she intended to fill a phenoxybenzamine prescription, the patient experienced acute generalized weakness and presented to the emergency department with hyperglycemia (glucose, 661 mg/dL), acute kidney injury (creatinine, 1.6 mg/dL), troponin I elevation (0.14 µg/L), and lactic acidosis (4.7 mmol/L). She was admitted to the hospital and rapidly improved with intravenous fluids and insulin. Phenoxybenzamine 10 mg daily was administered, and she was discharged on hospital day 2. The dosage of phenoxybenzamine was gradually increased over 2 months.

Laparoscopic left adrenalectomy was performed, with removal of a 3-cm mass. The pathologic findings confirmed the diagnosis of pheochromocytoma. Two months later she felt well. Her hypertension was controlled with lisinopril 10 mg daily. Transthoracic echocardiography 3 months after adrenalectomy demonstrated a left ventricular ejection fraction of 60% to 65%. Six months later, her hemoglobin A1c was 6.6%.

DISCUSSION

Pheochromocytoma is an abnormal growth of cells of chromaffin origin that arises in the adrenal medulla.1,2 The incidence of these often benign tumors is estimated to be 2 to 8 cases per million in the general population, and 2 to 6 per 1000 in adult patients with hypertension.1,3,4 Although clinicians commonly associate these catecholamine-secreting tumors with intermittent hypertension or diaphoresis, they have a wide spectrum of manifestations, which range from asymptomatic adrenal mass to acute multiorgan illness that mimics other life-threatening conditions. Common signs and symptoms of pheochromocytoma include hypertension (60%-70% incidence), headache (50%), diaphoresis (50%), and palpitations (50%-60%).4 The textbook triad of headache, sweating, and palpitations is seen in fewer than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is often explained by a more common condition.1,4 Approximately 5% of adrenal “incidentalomas” are pheochromocytomas that are minimally symptomatic or asymptomatic.1,3 In a study of 102 patients who underwent pheochromocytoma resection, 33% were diagnosed during evaluation of an adrenal incidentaloma.5 At the other end of the spectrum is a pheochromocytoma crisis with its mimicry of ACS and sepsis, and manifestations including severe hyperglycemia, abdominal pain, acute heart failure, and syncope.2,5-9 Aside from chronic mild hypertension and a single episode of diaphoresis during admission, our patient had none of the classic signs or symptoms of pheochromocytoma. Rather, she presented with the abrupt onset of multiorgan injury.

Diagnostic evaluation for pheochromocytoma typically includes demonstration of elevated catecholamine byproducts (metanephrines) in plasma or urine and an adrenal mass on imaging.2,10 Biopsy is contraindicated because this can lead to release of catecholamines, which can trigger a pheochromocytoma crisis.5 The Endocrine Society guidelines recommend evaluating patients for pheochromocytoma who have: (1) a known or suspected genetic syndrome linked to pheochromocytoma (eg, multiple endocrine neoplasia type 2 or Von Hippel-Lindau syndrome), (2) an adrenal mass incidentally found on imaging, regardless of a history of hypertension, or (3) signs and symptoms of pheochromocytoma.3

Patients in pheochromocytoma crisis are typically very ill, requiring intensive care unit admission for hemodynamic stabilization.1,11 Initial management is typically directed at assessing and treating for common causes of systemic illness and hemodynamic instability, such as ACS and sepsis. Although some patients with pheochromocytoma crisis may have hemodynamic collapse requiring invasive circulatory support, others improve while receiving empiric treatment for mimicking conditions. Our patient had multiorgan injury and hemodynamic instability but returned to her preadmission state within 48 to 72 hours and remained stable after the withdrawal of all therapies, including insulin and antibiotics. This rapid improvement suggested a paroxysmal condition with an “on/off” capacity mediated by endogenous mediators. Once pheochromocytoma crisis is diagnosed, hemodynamic stabilization with α-adrenergic receptor blockade and intravascular volume repletion is essential. Confirmation of the diagnosis with repeat testing after hospital discharge is important because biochemical test results are less specific in the setting of acute illness. Surgery on an elective basis is the definitive treatment. Ongoing α-adrenergic receptor blockade is essential to minimize the risk of an intraoperative pheochromocytoma crisis (because of anesthesia or tumor manipulation) and prevent cardiovascular collapse after resection of tumor.11

Although the biochemical profile of a pheochromocytoma (eg, epinephrine predominant) is not tightly linked to the phenotype, the pattern of organ injury can reflect the pleotropic effects of specific catecholamines.12 While both norepinephrine and epinephrine bind the β1-adrenergic receptor with equal affinity, epinephrine has a higher affinity for the β2-adrenergic receptor. Our patient’s initial relative hypotension was likely caused by hypovolemia from decreased oral intake, vomiting, and hyperglycemia-mediated polyuria. However, β2-adrenergic receptor agonism could have caused vasodilation, and nocardiogenic hypotension has been observed with epinephrine-predominant pheochromocytomas.13 Several of the other clinical findings in this case can be explained by widespread β-adrenergic receptor agonism. Epinephrine (whether endogenously produced or exogenously administered) can lead to cardiac injury with elevated cardiac biomarkers.1,6,14 Epinephrine administration can cause leukocytosis, which is attributed to demargination of leukocyte subsets that express β2-adrenergic receptors.15,16 Lactic acidosis in the absence of tissue hypoxia (type B lactic acidosis) occurs during epinephrine infusions in healthy volunteers.17,18 Hyperglycemia from epinephrine infusions is attributed to β-adrenergic receptor stimulation causing increased gluconeogenesis and glycogenolysis and decreased insulin secretion and tissue glucose uptake.8 Resolution of hyperglycemia and diabetes is observed in the majority of patients after resection of pheochromocytoma, and hypoglycemia immediately after surgery is common, occasionally requiring glucose infusion.19,20

Pheochromocytomas are rare tumors with a wide range of manifestations that extend well beyond the classic triad. Pheochromocytomas can present as an asymptomatic adrenal mass with normal blood pressure, as new onset diabetes, or as multiorgan injury with cardiovascular collapse. Our patient suffered from two episodes of catecholamine excess that required hospitalization, but fortunately each proved to be a short-lived crisis.

TEACHING POINTS

  • The classic triad of headache, sweating, and palpitations occurs in less than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is usually explained by a common medical condition.
  • The presentation of pheochromocytoma varies widely, from asymptomatic adrenal incidentaloma to pheochromocytoma crisis causing multiorgan dysfunction with hemodynamic instability and mimicry of common critical illnesses like ACS, DKA, and sepsis.
  • Biochemical screening for pheochromocytoma is recommended when a patient has a known or suspected genetic syndrome linked to pheochromocytoma, an adrenal mass incidentally found on imaging regardless of blood pressure, or signs and symptoms of a pheochromocytoma.
References

1. Riester A, Weismann D, Quinkler M, et al. Life-threatening events in patients with pheochromocytoma. Eur J Endocrinol. 2015;173(6):757-764. https://doi.org/10.1530/eje-15-0483
2. Whitelaw BC, Prague JK, Mustafa OG, et al. Phaeochromocytoma [corrected] crisis. Clin Endocrinol (Oxf). 2014;80(1):13-22. https://doi.org/10.1111/cen.12324
3. Lenders JW, Duh QY, Eisenhofer G, et al; Endocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2014;99(6):1915-1942. https://doi.org/10.1210/jc.2014-1498
4. Reisch N, Peczkowska M, Januszewicz A, Neumann HP. Pheochromocytoma: presentation, diagnosis and treatment. J Hypertens. 2006;24(12):2331-2339. https://doi.org/10.1097/01.hjh.0000251887.01885.54
5. Shen WT, Grogan R, Vriens M, Clark OH, Duh QY. One hundred two patients with pheochromocytoma treated at a single institution since the introduction of laparoscopic adrenalectomy. Arch Surg. 2010;145(9):893-897. https://doi.org/10.1001/archsurg.2010.159
6. Giavarini A, Chedid A, Bobrie G, Plouin PF, Hagège A, Amar L. Acute catecholamine cardiomyopathy in patients with phaeochromocytoma or functional paraganglioma. Heart. 2013;99(14):1438-1444. https://doi.org/10.1136/heartjnl-2013-304073
7. Lee TW, Lin KH, Chang CJ, Lew WH, Lee TI. Pheochromocytoma mimicking both acute coronary syndrome and sepsis: a case report. Med Princ Pract. 2013;22(4):405-407. https://doi.org/10.1159/000343578
8. Mesmar B, Poola-Kella S, Malek R. The physiology behind diabetes mellitus in patients with pheochromocytoma: a review of the literature. Endocr Pract. 2017;23(8):999-1005. https://doi.org/10.4158/ep171914.ra
9. Ueda T, Oka N, Matsumoto A, et al. Pheochromocytoma presenting as recurrent hypotension and syncope. Intern Med. 2005;44(3):222-227. https://doi.org/10.2169/internalmedicine.44.222
10. Neumann HPH, Young WF Jr, Eng C. Pheochromocytoma and paraganglioma. N Engl J Med. 2019;381(6):552-565. https://doi.org/10.1056/nejmra1806651
11. Scholten A, Cisco RM, Vriens MR, et al. Pheochromocytoma crisis is not a surgical emergency. J Clin Endocrinol Metab. 2013;98(2):581-591. https://doi.org/10.1210/jc.2012-3020
12. Pacak K. Phaeochromocytoma: a catecholamine and oxidative stress disorder. Endocr Regul. 2011;45:65-90.
13. Baxter MA, Hunter P, Thompson GR, London DR. Phaeochromocytomas as a cause of hypotension. Clin Endocrinol (Oxf). 1992;37(3):304-306. https://doi.org/10.1111/j.1365-2265.1992.tb02326.x
14. Campbell RL, Bellolio MF, Knutson BD, et al. Epinephrine in anaphylaxis: higher risk of cardiovascular complications and overdose after administration of intravenous bolus epinephrine compared with intramuscular epinephrine. J Allergy Clin Immunol Pract. 2015;3(1):76-80. https://doi.org/10.1016/j.jaip.2014.06.007
15. Benschop RJ, Rodriguez-Feuerhahn M, Schedlowski M. Catecholamine-induced leukocytosis: early observations, current research, and future directions. Brain Behav Immun. 1996;10(2):77-91. https://doi.org/10.1006/brbi.1996.0009
16. Dimitrov S, Lange T, Born J. Selective mobilization of cytotoxic leukocytes by epinephrine. J Immunol. 2010;184(1):503-511. https://doi.org/10.4049/jimmunol.0902189
17. Andersen LW, Mackenhauer J, Roberts JC, Berg KM, Cocchi MN, Donnino MW. Etiology and therapeutic approach to elevated lactate levels. Mayo Clin Proc. 2013;88(10):1127-1140. https://doi.org/10.1016/j.mayocp.2013.06.012
18. Levy B. Bench-to-bedside review: is there a place for epinephrine in septic shock? Crit Care. 2005;9(6):561-565. https://doi.org/10.1186/cc3901
19. Chen Y, Hodin RA, Pandolfi C, Ruan DT, McKenzie TJ. Hypoglycemia after resection of pheochromocytoma. Surgery. 2014;156:1404-1408; discussion 1408-1409. https://doi.org/10.1016/j.surg.2014.08.020
20. Pogorzelski R, Toutounchi S, Krajewska E, et al. The effect of surgical treatment of phaeochromocytoma on concomitant arterial hypertension and diabetes mellitus in a single-centre retrospective study. Cent European J Urol. 2014;67(4):361-365. https://doi.org/10.5173/ceju.2014.04.art9

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Dr. Dhaliwal reports receiving speaking honoraria from ISMIE Mutual Insurance Company and GE Healthcare. The other authors have nothing to disclose.

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Dr. Dhaliwal reports receiving speaking honoraria from ISMIE Mutual Insurance Company and GE Healthcare. The other authors have nothing to disclose.

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1Division of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas; 2Department of Medicine, University of California San Francisco, San Francisco, California; 3Medical Service, San Francisco VA Medical Center, San Francisco, California; 4Division of Endocrinology and Metabolism, University of California San Francisco, San Francisco, California; 5Division of Infectious Diseases, University of California San Francisco, San Francisco, California.

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Dr. Dhaliwal reports receiving speaking honoraria from ISMIE Mutual Insurance Company and GE Healthcare. The other authors have nothing to disclose.

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A 79-year-old woman presented to the emergency department with 1 day of nausea and vomiting. On the morning of presentation, she felt mild cramping in her legs and vomited twice. She denied chest or back pain, dyspnea, diaphoresis, cough, fever, dysuria, headache, and abdominal pain. Her medical history included hypertension, osteoporosis, and a right-sided acoustic neuroma treated with radiation 12 years prior. One month before this presentation, type 2 diabetes mellitus was diagnosed (hemoglobin A1c level, 7.3%) on routine testing by her primary care physician. Her medications were losartan and alendronate. She was born in China and immigrated to the United States 50 years prior. Her husband was chronically ill with several recent hospitalizations.

Nausea and vomiting are nonspecific symptoms that can arise from systemic illness, including hyperglycemia, a drug/toxin effect, or injury/inflammation of the gastrointestinal, central nervous system, or cardiovascular systems. An acoustic neuroma recurrence or malignancy in the radiation field could trigger nausea. Muscle cramping could arise from myositis or from hypokalemia secondary to vomiting. Her husband’s recent hospitalizations add an important psychosocial dimension to her care and should prompt consideration of a shared illness depending on the nature of his illness.

The patient’s temperature was 36.7 °C; heart rate, 99 beats per minute; blood pressure, 94/58 mm Hg;respiratory rate, 16 breaths per minute; and oxygen saturation, 98% while breathing room air. Her body mass index (BMI) was 18.7 kg/m2. She appeared comfortable. The heart, lung, jugular venous, and abdominal examinations were normal. She had no lower extremity edema or muscle tenderness.

The white blood cell (WBC) count was 14,500/µL (81% neutrophils, 9% lymphocytes, 8% monocytes), hemoglobin level was 17.5 g/dL (elevated from 14.2 g/dL 8 weeks prior), and platelet count was 238,000/µL. The metabolic panel revealed the following values: sodium, 139 mmol/L; potassium, 5.1 mmol/L; chloride, 96 mmol/L; bicarbonate, 17 mmol/L; blood urea nitrogen, 40 mg/dL; creatinine, 2.2 mg/dL (elevated from 0.7 mg/dL 8 weeks prior); glucose, 564 mg/dL; aspartate transaminase, 108 U/L; alanine transaminase, 130 U/L; total bilirubin, 0.6 mg/dL; and alkaline phosphatase, 105 U/L. Creatine kinase, amylase, and lipase levels were not measured. The urinalysis showed trace ketones, protein 100 mg/dL, glucose >500 mg/dL, and <5 WBCs per high-power field. The venous blood gas demonstrated a pH of 7.20 and lactate level of 13.2 mmol/L. Serum beta-hydroxybutyrate level was 0.27 mmol/L (reference range, 0.02-0.27), serum troponin I level was 8.5 µg/L (reference range, <0.05), and B-type natriuretic peptide level was 1850 pg/mL (reference range, <181).

Chest x-ray showed bilateral perihilar opacities with normal heart size. Electrocardiogram (ECG) revealed new ST-segment depressions in the anterior precordial leads (Figure 1).

Electrocardiogram

Her hypotension may signal septic, cardiogenic, or hypovolemic shock. The leukocytosis, anion gap acidosis, acute kidney injury, and elevated lactate are compatible with sepsis, although there is no identified source of infection. Although diabetic ketoacidosis (DKA) can explain many of these findings, the serum beta-hydroxybutyrate and urine ketones are lower than expected for that condition. Her low-normal BMI makes significant insulin resistance less likely and raises concern about pancreatic adenocarcinoma as a secondary cause of diabetes.

The nausea, ST depressions, elevated troponin and B-type natriuretic peptide levels, and bilateral infiltrates suggest acute coronary syndrome (ACS), complicated by acute heart failure leading to systemic hypoperfusion and associated lactic acidosis and kidney injury. Nonischemic causes of myocardial injury, such as sepsis, myocarditis, and stress cardiomyopathy, should also be considered. Alternatively, she could be experiencing multiorgan injury from widespread embolism (eg, endocarditis), thrombosis (eg, antiphospholipid syndrome), or inflammation (eg, vasculitis). Acute pancreatitis can cause acute hyperglycemia and multisystem disease, but she did not have abdominal pain or tenderness (and her lipase level was not measured). Treatment should include intravenous insulin, intravenous fluids (trying to balance possible sepsis or DKA with heart failure), medical management for non-ST elevation myocardial infarction (NSTEMI), and empiric antibiotics.

ACS was diagnosed, and aspirin, atorvastatin, clopidogrel, and heparin were prescribed. Insulin infusion and intravenous fluids (approximately 3 L overnight) were administered for hyperglycemia (and possible early DKA). On the night of admission, the patient became profoundly diaphoretic without fevers; the WBC count rose to 24,200/µL. Vancomycin and ertapenem were initiated for possible sepsis. Serum troponin I level increased to 11.9 µg/L; the patient did not have chest pain, and the ECG was unchanged.

The next morning, the patient reported new mild diffuse abdominal pain and had mild epigastric tenderness. The WBC count was 28,900/µL; hemoglobin, 13.2 g/dL; venous pH, 7.39; lactate, 2.9 mmol/L; lipase, 48 U/L; aspartate transaminase, 84 U/L; alanine transaminase, 72 U/L; total bilirubin, 0.7 mg/dL; alkaline phosphatase, 64 U/L; and creatinine, 1.2 mg/dL.

Her rising troponin without dynamic ECG changes makes the diagnosis of ACS less likely, although myocardial ischemia can present as abdominal pain. Other causes of myocardial injury to consider (in addition to the previously mentioned sepsis, myocarditis, and stress cardiomyopathy) are pulmonary embolism and proximal aortic dissection. The latter can lead to ischemia in multiple systems (cardiac, mesenteric, renal, and lower extremity, recalling her leg cramps on admission).

The leukocytosis and lactic acidosis in the setting of new abdominal pain raises the question of mesenteric ischemia or intra-abdominal sepsis. Her hemoglobin has decreased by 4 g, and while some of the change may be dilutional, it will be important to consider hemolysis (less likely with a normal bilirubin) or gastrointestinal bleeding (given current anticoagulant and antiplatelet therapy). An echocardiogram and computed tomography (CT) angiogram of the chest, abdomen, and pelvis are indicated to evaluate the vasculature and assess for intra-abdominal pathology.

Coronary angiography revealed a 40% stenosis in the proximal right coronary artery and no other angiographically significant disease; the left ventricular end-diastolic pressure (LVEDP) was 30 mm Hg. Transthoracic echocardiography demonstrated normal left ventricular size, left ventricular ejection fraction of 65% to 70%, impaired left ventricular relaxation, and an inferior vena cava <2 cm in diameter that collapsed with inspiration.

The angiogram shows modest coronary artery disease and points away from plaque rupture as the cause of myocardial injury. Another important consideration given her husband’s recurrent illness is stress cardiomyopathy, but she does not have the typical apical ballooning or left ventricular dysfunction. The increased LVEDP with normal left ventricular size and function with elevated filling pressures is consistent with left-sided heart failure with preserved ejection fraction. Cardiac magnetic resonance imaging could exclude an infiltrative disorder leading to diastolic dysfunction or a myocarditis that explains the troponin elevation, but both diagnoses seem unlikely.

CT of the abdomen and pelvis demonstrated a heterogeneous 3-cm mass in the left adrenal gland (Figure 2).

Computed Tomography Image

An adrenal mass could be a functional or nonfunctional adenoma, primary adrenal carcinoma, a metastatic malignancy, or granulomatous infection such as tuberculosis. Secretion of excess glucocorticoid, mineralocorticoid, or catecholamine should be evaluated.

Cushing syndrome could explain her hyperglycemia, leukocytosis, and heart failure (mediated by the increased risk of atherosclerosis and hypertension with hypercortisolism), although her low BMI is atypical. Primary hyperaldosteronism causes hypertension but does not cause an acute multisystem disease. Pheochromocytoma could account for the diaphoresis, hypertension, hyperglycemia, leukocytosis, and cardiac injury. A more severe form—pheochromocytoma crisis—is characterized by widespread end-organ damage, including cardiomyopathy, bowel ischemia, hepatitis, hyperglycemia with ketoacidosis, and lactic acidosis. Measurement of serum cortisol and plasma and urine fractionated metanephrines, and a dexamethasone suppression test can determine whether the adrenal mass is functional.

The intravenous insulin infusion was changed to subcutaneous dosing on hospital day 2. She had no further nausea, diaphoresis, or abdominal pain, was walking around the hospital unit unassisted, and was consuming a regular diet. By hospital day 3, insulin was discontinued. The patient remained euglycemic for the remainder of her hospitalization; hemoglobin A1c value was 7.0%. Blood cultures were sterile, and the WBC count was 12,000/µL. Thyroid-stimulating hormone level was 0.31 mIU/L (reference range, 0.45-4.12), and the free thyroxine level was 12 pmol/L (reference range, 10-18). Antibiotics were discontinued. She remained euvolemic and never required diuretic therapy. The acute myocardial injury and diastolic dysfunction were attributed to an acute stress cardiomyopathy arising from the strain of her husband’s declining health. She was discharged on hospital day 5 with aspirin, atorvastatin, metoprolol, lisinopril, and outpatient follow-up.

The rapid resolution of her multisystem process suggests a self-limited process or successful treatment of the underlying cause. Although she received antibiotics, a bacterial infection never manifested. Cardiomyopathy with a high troponin level, ECG changes, and early heart failure often requires aggressive supportive measures, which were not required here. The rapid cessation of hyperglycemia and an insulin requirement within 1 day is atypical for DKA.

Pheochromocytoma is a rare secondary cause of diabetes in which excess catecholamines cause insulin resistance and suppress insulin release. It can explain both the adrenal mass and, in the form of pheochromocytoma crisis, the severe multisystem injury. However, the patient’s hypotension (which could be explained by concomitant cardiomyopathy) and older age are not typical for pheochromocytoma.

Results of testing for adrenal biomarkers, which were sent during her hospitalization, returned several days after hospital discharge. The plasma free metanephrine level was 687 pg/mL (reference range, <57) and the plasma free normetanephrine level was 508 pg/mL (reference range, <148). Metoprolol was discontinued by her primary care physician.

Elevated plasma free metanephrine and normetanephrine levels were confirmed in the endocrinology clinic 3 weeks later. The 24-hour urine metanephrine level was 1497 µg/24 hours (reference range, 90-315), and the 24-hour urine normetanephrine level was 379 µg/24 hours (reference range, 122-676). Serum aldosterone level was 8 ng/dL (reference range, 3-16), and morning cortisol level was 8 µg/dL (reference range, 4-19). Lisinopril was discontinued, and phenoxybenzamine was prescribed.

Adrenal-protocol CT of the abdomen demonstrated that the left adrenal mass was enhanced by contrast without definite washout, which could be consistent with a pheochromocytoma.

The diagnosis of pheochromocytoma has been confirmed by biochemistry and imaging. It was appropriate to stop metoprolol, as β-blockade can lead to unopposed α-receptor agonism and hypertension. Implementation of α-blockade with phenoxybenzamine and endocrine surgery referral are indicated.

On the day she intended to fill a phenoxybenzamine prescription, the patient experienced acute generalized weakness and presented to the emergency department with hyperglycemia (glucose, 661 mg/dL), acute kidney injury (creatinine, 1.6 mg/dL), troponin I elevation (0.14 µg/L), and lactic acidosis (4.7 mmol/L). She was admitted to the hospital and rapidly improved with intravenous fluids and insulin. Phenoxybenzamine 10 mg daily was administered, and she was discharged on hospital day 2. The dosage of phenoxybenzamine was gradually increased over 2 months.

Laparoscopic left adrenalectomy was performed, with removal of a 3-cm mass. The pathologic findings confirmed the diagnosis of pheochromocytoma. Two months later she felt well. Her hypertension was controlled with lisinopril 10 mg daily. Transthoracic echocardiography 3 months after adrenalectomy demonstrated a left ventricular ejection fraction of 60% to 65%. Six months later, her hemoglobin A1c was 6.6%.

DISCUSSION

Pheochromocytoma is an abnormal growth of cells of chromaffin origin that arises in the adrenal medulla.1,2 The incidence of these often benign tumors is estimated to be 2 to 8 cases per million in the general population, and 2 to 6 per 1000 in adult patients with hypertension.1,3,4 Although clinicians commonly associate these catecholamine-secreting tumors with intermittent hypertension or diaphoresis, they have a wide spectrum of manifestations, which range from asymptomatic adrenal mass to acute multiorgan illness that mimics other life-threatening conditions. Common signs and symptoms of pheochromocytoma include hypertension (60%-70% incidence), headache (50%), diaphoresis (50%), and palpitations (50%-60%).4 The textbook triad of headache, sweating, and palpitations is seen in fewer than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is often explained by a more common condition.1,4 Approximately 5% of adrenal “incidentalomas” are pheochromocytomas that are minimally symptomatic or asymptomatic.1,3 In a study of 102 patients who underwent pheochromocytoma resection, 33% were diagnosed during evaluation of an adrenal incidentaloma.5 At the other end of the spectrum is a pheochromocytoma crisis with its mimicry of ACS and sepsis, and manifestations including severe hyperglycemia, abdominal pain, acute heart failure, and syncope.2,5-9 Aside from chronic mild hypertension and a single episode of diaphoresis during admission, our patient had none of the classic signs or symptoms of pheochromocytoma. Rather, she presented with the abrupt onset of multiorgan injury.

Diagnostic evaluation for pheochromocytoma typically includes demonstration of elevated catecholamine byproducts (metanephrines) in plasma or urine and an adrenal mass on imaging.2,10 Biopsy is contraindicated because this can lead to release of catecholamines, which can trigger a pheochromocytoma crisis.5 The Endocrine Society guidelines recommend evaluating patients for pheochromocytoma who have: (1) a known or suspected genetic syndrome linked to pheochromocytoma (eg, multiple endocrine neoplasia type 2 or Von Hippel-Lindau syndrome), (2) an adrenal mass incidentally found on imaging, regardless of a history of hypertension, or (3) signs and symptoms of pheochromocytoma.3

Patients in pheochromocytoma crisis are typically very ill, requiring intensive care unit admission for hemodynamic stabilization.1,11 Initial management is typically directed at assessing and treating for common causes of systemic illness and hemodynamic instability, such as ACS and sepsis. Although some patients with pheochromocytoma crisis may have hemodynamic collapse requiring invasive circulatory support, others improve while receiving empiric treatment for mimicking conditions. Our patient had multiorgan injury and hemodynamic instability but returned to her preadmission state within 48 to 72 hours and remained stable after the withdrawal of all therapies, including insulin and antibiotics. This rapid improvement suggested a paroxysmal condition with an “on/off” capacity mediated by endogenous mediators. Once pheochromocytoma crisis is diagnosed, hemodynamic stabilization with α-adrenergic receptor blockade and intravascular volume repletion is essential. Confirmation of the diagnosis with repeat testing after hospital discharge is important because biochemical test results are less specific in the setting of acute illness. Surgery on an elective basis is the definitive treatment. Ongoing α-adrenergic receptor blockade is essential to minimize the risk of an intraoperative pheochromocytoma crisis (because of anesthesia or tumor manipulation) and prevent cardiovascular collapse after resection of tumor.11

Although the biochemical profile of a pheochromocytoma (eg, epinephrine predominant) is not tightly linked to the phenotype, the pattern of organ injury can reflect the pleotropic effects of specific catecholamines.12 While both norepinephrine and epinephrine bind the β1-adrenergic receptor with equal affinity, epinephrine has a higher affinity for the β2-adrenergic receptor. Our patient’s initial relative hypotension was likely caused by hypovolemia from decreased oral intake, vomiting, and hyperglycemia-mediated polyuria. However, β2-adrenergic receptor agonism could have caused vasodilation, and nocardiogenic hypotension has been observed with epinephrine-predominant pheochromocytomas.13 Several of the other clinical findings in this case can be explained by widespread β-adrenergic receptor agonism. Epinephrine (whether endogenously produced or exogenously administered) can lead to cardiac injury with elevated cardiac biomarkers.1,6,14 Epinephrine administration can cause leukocytosis, which is attributed to demargination of leukocyte subsets that express β2-adrenergic receptors.15,16 Lactic acidosis in the absence of tissue hypoxia (type B lactic acidosis) occurs during epinephrine infusions in healthy volunteers.17,18 Hyperglycemia from epinephrine infusions is attributed to β-adrenergic receptor stimulation causing increased gluconeogenesis and glycogenolysis and decreased insulin secretion and tissue glucose uptake.8 Resolution of hyperglycemia and diabetes is observed in the majority of patients after resection of pheochromocytoma, and hypoglycemia immediately after surgery is common, occasionally requiring glucose infusion.19,20

Pheochromocytomas are rare tumors with a wide range of manifestations that extend well beyond the classic triad. Pheochromocytomas can present as an asymptomatic adrenal mass with normal blood pressure, as new onset diabetes, or as multiorgan injury with cardiovascular collapse. Our patient suffered from two episodes of catecholamine excess that required hospitalization, but fortunately each proved to be a short-lived crisis.

TEACHING POINTS

  • The classic triad of headache, sweating, and palpitations occurs in less than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is usually explained by a common medical condition.
  • The presentation of pheochromocytoma varies widely, from asymptomatic adrenal incidentaloma to pheochromocytoma crisis causing multiorgan dysfunction with hemodynamic instability and mimicry of common critical illnesses like ACS, DKA, and sepsis.
  • Biochemical screening for pheochromocytoma is recommended when a patient has a known or suspected genetic syndrome linked to pheochromocytoma, an adrenal mass incidentally found on imaging regardless of blood pressure, or signs and symptoms of a pheochromocytoma.

A 79-year-old woman presented to the emergency department with 1 day of nausea and vomiting. On the morning of presentation, she felt mild cramping in her legs and vomited twice. She denied chest or back pain, dyspnea, diaphoresis, cough, fever, dysuria, headache, and abdominal pain. Her medical history included hypertension, osteoporosis, and a right-sided acoustic neuroma treated with radiation 12 years prior. One month before this presentation, type 2 diabetes mellitus was diagnosed (hemoglobin A1c level, 7.3%) on routine testing by her primary care physician. Her medications were losartan and alendronate. She was born in China and immigrated to the United States 50 years prior. Her husband was chronically ill with several recent hospitalizations.

Nausea and vomiting are nonspecific symptoms that can arise from systemic illness, including hyperglycemia, a drug/toxin effect, or injury/inflammation of the gastrointestinal, central nervous system, or cardiovascular systems. An acoustic neuroma recurrence or malignancy in the radiation field could trigger nausea. Muscle cramping could arise from myositis or from hypokalemia secondary to vomiting. Her husband’s recent hospitalizations add an important psychosocial dimension to her care and should prompt consideration of a shared illness depending on the nature of his illness.

The patient’s temperature was 36.7 °C; heart rate, 99 beats per minute; blood pressure, 94/58 mm Hg;respiratory rate, 16 breaths per minute; and oxygen saturation, 98% while breathing room air. Her body mass index (BMI) was 18.7 kg/m2. She appeared comfortable. The heart, lung, jugular venous, and abdominal examinations were normal. She had no lower extremity edema or muscle tenderness.

The white blood cell (WBC) count was 14,500/µL (81% neutrophils, 9% lymphocytes, 8% monocytes), hemoglobin level was 17.5 g/dL (elevated from 14.2 g/dL 8 weeks prior), and platelet count was 238,000/µL. The metabolic panel revealed the following values: sodium, 139 mmol/L; potassium, 5.1 mmol/L; chloride, 96 mmol/L; bicarbonate, 17 mmol/L; blood urea nitrogen, 40 mg/dL; creatinine, 2.2 mg/dL (elevated from 0.7 mg/dL 8 weeks prior); glucose, 564 mg/dL; aspartate transaminase, 108 U/L; alanine transaminase, 130 U/L; total bilirubin, 0.6 mg/dL; and alkaline phosphatase, 105 U/L. Creatine kinase, amylase, and lipase levels were not measured. The urinalysis showed trace ketones, protein 100 mg/dL, glucose >500 mg/dL, and <5 WBCs per high-power field. The venous blood gas demonstrated a pH of 7.20 and lactate level of 13.2 mmol/L. Serum beta-hydroxybutyrate level was 0.27 mmol/L (reference range, 0.02-0.27), serum troponin I level was 8.5 µg/L (reference range, <0.05), and B-type natriuretic peptide level was 1850 pg/mL (reference range, <181).

Chest x-ray showed bilateral perihilar opacities with normal heart size. Electrocardiogram (ECG) revealed new ST-segment depressions in the anterior precordial leads (Figure 1).

Electrocardiogram

Her hypotension may signal septic, cardiogenic, or hypovolemic shock. The leukocytosis, anion gap acidosis, acute kidney injury, and elevated lactate are compatible with sepsis, although there is no identified source of infection. Although diabetic ketoacidosis (DKA) can explain many of these findings, the serum beta-hydroxybutyrate and urine ketones are lower than expected for that condition. Her low-normal BMI makes significant insulin resistance less likely and raises concern about pancreatic adenocarcinoma as a secondary cause of diabetes.

The nausea, ST depressions, elevated troponin and B-type natriuretic peptide levels, and bilateral infiltrates suggest acute coronary syndrome (ACS), complicated by acute heart failure leading to systemic hypoperfusion and associated lactic acidosis and kidney injury. Nonischemic causes of myocardial injury, such as sepsis, myocarditis, and stress cardiomyopathy, should also be considered. Alternatively, she could be experiencing multiorgan injury from widespread embolism (eg, endocarditis), thrombosis (eg, antiphospholipid syndrome), or inflammation (eg, vasculitis). Acute pancreatitis can cause acute hyperglycemia and multisystem disease, but she did not have abdominal pain or tenderness (and her lipase level was not measured). Treatment should include intravenous insulin, intravenous fluids (trying to balance possible sepsis or DKA with heart failure), medical management for non-ST elevation myocardial infarction (NSTEMI), and empiric antibiotics.

ACS was diagnosed, and aspirin, atorvastatin, clopidogrel, and heparin were prescribed. Insulin infusion and intravenous fluids (approximately 3 L overnight) were administered for hyperglycemia (and possible early DKA). On the night of admission, the patient became profoundly diaphoretic without fevers; the WBC count rose to 24,200/µL. Vancomycin and ertapenem were initiated for possible sepsis. Serum troponin I level increased to 11.9 µg/L; the patient did not have chest pain, and the ECG was unchanged.

The next morning, the patient reported new mild diffuse abdominal pain and had mild epigastric tenderness. The WBC count was 28,900/µL; hemoglobin, 13.2 g/dL; venous pH, 7.39; lactate, 2.9 mmol/L; lipase, 48 U/L; aspartate transaminase, 84 U/L; alanine transaminase, 72 U/L; total bilirubin, 0.7 mg/dL; alkaline phosphatase, 64 U/L; and creatinine, 1.2 mg/dL.

Her rising troponin without dynamic ECG changes makes the diagnosis of ACS less likely, although myocardial ischemia can present as abdominal pain. Other causes of myocardial injury to consider (in addition to the previously mentioned sepsis, myocarditis, and stress cardiomyopathy) are pulmonary embolism and proximal aortic dissection. The latter can lead to ischemia in multiple systems (cardiac, mesenteric, renal, and lower extremity, recalling her leg cramps on admission).

The leukocytosis and lactic acidosis in the setting of new abdominal pain raises the question of mesenteric ischemia or intra-abdominal sepsis. Her hemoglobin has decreased by 4 g, and while some of the change may be dilutional, it will be important to consider hemolysis (less likely with a normal bilirubin) or gastrointestinal bleeding (given current anticoagulant and antiplatelet therapy). An echocardiogram and computed tomography (CT) angiogram of the chest, abdomen, and pelvis are indicated to evaluate the vasculature and assess for intra-abdominal pathology.

Coronary angiography revealed a 40% stenosis in the proximal right coronary artery and no other angiographically significant disease; the left ventricular end-diastolic pressure (LVEDP) was 30 mm Hg. Transthoracic echocardiography demonstrated normal left ventricular size, left ventricular ejection fraction of 65% to 70%, impaired left ventricular relaxation, and an inferior vena cava <2 cm in diameter that collapsed with inspiration.

The angiogram shows modest coronary artery disease and points away from plaque rupture as the cause of myocardial injury. Another important consideration given her husband’s recurrent illness is stress cardiomyopathy, but she does not have the typical apical ballooning or left ventricular dysfunction. The increased LVEDP with normal left ventricular size and function with elevated filling pressures is consistent with left-sided heart failure with preserved ejection fraction. Cardiac magnetic resonance imaging could exclude an infiltrative disorder leading to diastolic dysfunction or a myocarditis that explains the troponin elevation, but both diagnoses seem unlikely.

CT of the abdomen and pelvis demonstrated a heterogeneous 3-cm mass in the left adrenal gland (Figure 2).

Computed Tomography Image

An adrenal mass could be a functional or nonfunctional adenoma, primary adrenal carcinoma, a metastatic malignancy, or granulomatous infection such as tuberculosis. Secretion of excess glucocorticoid, mineralocorticoid, or catecholamine should be evaluated.

Cushing syndrome could explain her hyperglycemia, leukocytosis, and heart failure (mediated by the increased risk of atherosclerosis and hypertension with hypercortisolism), although her low BMI is atypical. Primary hyperaldosteronism causes hypertension but does not cause an acute multisystem disease. Pheochromocytoma could account for the diaphoresis, hypertension, hyperglycemia, leukocytosis, and cardiac injury. A more severe form—pheochromocytoma crisis—is characterized by widespread end-organ damage, including cardiomyopathy, bowel ischemia, hepatitis, hyperglycemia with ketoacidosis, and lactic acidosis. Measurement of serum cortisol and plasma and urine fractionated metanephrines, and a dexamethasone suppression test can determine whether the adrenal mass is functional.

The intravenous insulin infusion was changed to subcutaneous dosing on hospital day 2. She had no further nausea, diaphoresis, or abdominal pain, was walking around the hospital unit unassisted, and was consuming a regular diet. By hospital day 3, insulin was discontinued. The patient remained euglycemic for the remainder of her hospitalization; hemoglobin A1c value was 7.0%. Blood cultures were sterile, and the WBC count was 12,000/µL. Thyroid-stimulating hormone level was 0.31 mIU/L (reference range, 0.45-4.12), and the free thyroxine level was 12 pmol/L (reference range, 10-18). Antibiotics were discontinued. She remained euvolemic and never required diuretic therapy. The acute myocardial injury and diastolic dysfunction were attributed to an acute stress cardiomyopathy arising from the strain of her husband’s declining health. She was discharged on hospital day 5 with aspirin, atorvastatin, metoprolol, lisinopril, and outpatient follow-up.

The rapid resolution of her multisystem process suggests a self-limited process or successful treatment of the underlying cause. Although she received antibiotics, a bacterial infection never manifested. Cardiomyopathy with a high troponin level, ECG changes, and early heart failure often requires aggressive supportive measures, which were not required here. The rapid cessation of hyperglycemia and an insulin requirement within 1 day is atypical for DKA.

Pheochromocytoma is a rare secondary cause of diabetes in which excess catecholamines cause insulin resistance and suppress insulin release. It can explain both the adrenal mass and, in the form of pheochromocytoma crisis, the severe multisystem injury. However, the patient’s hypotension (which could be explained by concomitant cardiomyopathy) and older age are not typical for pheochromocytoma.

Results of testing for adrenal biomarkers, which were sent during her hospitalization, returned several days after hospital discharge. The plasma free metanephrine level was 687 pg/mL (reference range, <57) and the plasma free normetanephrine level was 508 pg/mL (reference range, <148). Metoprolol was discontinued by her primary care physician.

Elevated plasma free metanephrine and normetanephrine levels were confirmed in the endocrinology clinic 3 weeks later. The 24-hour urine metanephrine level was 1497 µg/24 hours (reference range, 90-315), and the 24-hour urine normetanephrine level was 379 µg/24 hours (reference range, 122-676). Serum aldosterone level was 8 ng/dL (reference range, 3-16), and morning cortisol level was 8 µg/dL (reference range, 4-19). Lisinopril was discontinued, and phenoxybenzamine was prescribed.

Adrenal-protocol CT of the abdomen demonstrated that the left adrenal mass was enhanced by contrast without definite washout, which could be consistent with a pheochromocytoma.

The diagnosis of pheochromocytoma has been confirmed by biochemistry and imaging. It was appropriate to stop metoprolol, as β-blockade can lead to unopposed α-receptor agonism and hypertension. Implementation of α-blockade with phenoxybenzamine and endocrine surgery referral are indicated.

On the day she intended to fill a phenoxybenzamine prescription, the patient experienced acute generalized weakness and presented to the emergency department with hyperglycemia (glucose, 661 mg/dL), acute kidney injury (creatinine, 1.6 mg/dL), troponin I elevation (0.14 µg/L), and lactic acidosis (4.7 mmol/L). She was admitted to the hospital and rapidly improved with intravenous fluids and insulin. Phenoxybenzamine 10 mg daily was administered, and she was discharged on hospital day 2. The dosage of phenoxybenzamine was gradually increased over 2 months.

Laparoscopic left adrenalectomy was performed, with removal of a 3-cm mass. The pathologic findings confirmed the diagnosis of pheochromocytoma. Two months later she felt well. Her hypertension was controlled with lisinopril 10 mg daily. Transthoracic echocardiography 3 months after adrenalectomy demonstrated a left ventricular ejection fraction of 60% to 65%. Six months later, her hemoglobin A1c was 6.6%.

DISCUSSION

Pheochromocytoma is an abnormal growth of cells of chromaffin origin that arises in the adrenal medulla.1,2 The incidence of these often benign tumors is estimated to be 2 to 8 cases per million in the general population, and 2 to 6 per 1000 in adult patients with hypertension.1,3,4 Although clinicians commonly associate these catecholamine-secreting tumors with intermittent hypertension or diaphoresis, they have a wide spectrum of manifestations, which range from asymptomatic adrenal mass to acute multiorgan illness that mimics other life-threatening conditions. Common signs and symptoms of pheochromocytoma include hypertension (60%-70% incidence), headache (50%), diaphoresis (50%), and palpitations (50%-60%).4 The textbook triad of headache, sweating, and palpitations is seen in fewer than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is often explained by a more common condition.1,4 Approximately 5% of adrenal “incidentalomas” are pheochromocytomas that are minimally symptomatic or asymptomatic.1,3 In a study of 102 patients who underwent pheochromocytoma resection, 33% were diagnosed during evaluation of an adrenal incidentaloma.5 At the other end of the spectrum is a pheochromocytoma crisis with its mimicry of ACS and sepsis, and manifestations including severe hyperglycemia, abdominal pain, acute heart failure, and syncope.2,5-9 Aside from chronic mild hypertension and a single episode of diaphoresis during admission, our patient had none of the classic signs or symptoms of pheochromocytoma. Rather, she presented with the abrupt onset of multiorgan injury.

Diagnostic evaluation for pheochromocytoma typically includes demonstration of elevated catecholamine byproducts (metanephrines) in plasma or urine and an adrenal mass on imaging.2,10 Biopsy is contraindicated because this can lead to release of catecholamines, which can trigger a pheochromocytoma crisis.5 The Endocrine Society guidelines recommend evaluating patients for pheochromocytoma who have: (1) a known or suspected genetic syndrome linked to pheochromocytoma (eg, multiple endocrine neoplasia type 2 or Von Hippel-Lindau syndrome), (2) an adrenal mass incidentally found on imaging, regardless of a history of hypertension, or (3) signs and symptoms of pheochromocytoma.3

Patients in pheochromocytoma crisis are typically very ill, requiring intensive care unit admission for hemodynamic stabilization.1,11 Initial management is typically directed at assessing and treating for common causes of systemic illness and hemodynamic instability, such as ACS and sepsis. Although some patients with pheochromocytoma crisis may have hemodynamic collapse requiring invasive circulatory support, others improve while receiving empiric treatment for mimicking conditions. Our patient had multiorgan injury and hemodynamic instability but returned to her preadmission state within 48 to 72 hours and remained stable after the withdrawal of all therapies, including insulin and antibiotics. This rapid improvement suggested a paroxysmal condition with an “on/off” capacity mediated by endogenous mediators. Once pheochromocytoma crisis is diagnosed, hemodynamic stabilization with α-adrenergic receptor blockade and intravascular volume repletion is essential. Confirmation of the diagnosis with repeat testing after hospital discharge is important because biochemical test results are less specific in the setting of acute illness. Surgery on an elective basis is the definitive treatment. Ongoing α-adrenergic receptor blockade is essential to minimize the risk of an intraoperative pheochromocytoma crisis (because of anesthesia or tumor manipulation) and prevent cardiovascular collapse after resection of tumor.11

Although the biochemical profile of a pheochromocytoma (eg, epinephrine predominant) is not tightly linked to the phenotype, the pattern of organ injury can reflect the pleotropic effects of specific catecholamines.12 While both norepinephrine and epinephrine bind the β1-adrenergic receptor with equal affinity, epinephrine has a higher affinity for the β2-adrenergic receptor. Our patient’s initial relative hypotension was likely caused by hypovolemia from decreased oral intake, vomiting, and hyperglycemia-mediated polyuria. However, β2-adrenergic receptor agonism could have caused vasodilation, and nocardiogenic hypotension has been observed with epinephrine-predominant pheochromocytomas.13 Several of the other clinical findings in this case can be explained by widespread β-adrenergic receptor agonism. Epinephrine (whether endogenously produced or exogenously administered) can lead to cardiac injury with elevated cardiac biomarkers.1,6,14 Epinephrine administration can cause leukocytosis, which is attributed to demargination of leukocyte subsets that express β2-adrenergic receptors.15,16 Lactic acidosis in the absence of tissue hypoxia (type B lactic acidosis) occurs during epinephrine infusions in healthy volunteers.17,18 Hyperglycemia from epinephrine infusions is attributed to β-adrenergic receptor stimulation causing increased gluconeogenesis and glycogenolysis and decreased insulin secretion and tissue glucose uptake.8 Resolution of hyperglycemia and diabetes is observed in the majority of patients after resection of pheochromocytoma, and hypoglycemia immediately after surgery is common, occasionally requiring glucose infusion.19,20

Pheochromocytomas are rare tumors with a wide range of manifestations that extend well beyond the classic triad. Pheochromocytomas can present as an asymptomatic adrenal mass with normal blood pressure, as new onset diabetes, or as multiorgan injury with cardiovascular collapse. Our patient suffered from two episodes of catecholamine excess that required hospitalization, but fortunately each proved to be a short-lived crisis.

TEACHING POINTS

  • The classic triad of headache, sweating, and palpitations occurs in less than 25% of patients with pheochromocytoma; among unselected general medicine patients who have this triad, each symptom is usually explained by a common medical condition.
  • The presentation of pheochromocytoma varies widely, from asymptomatic adrenal incidentaloma to pheochromocytoma crisis causing multiorgan dysfunction with hemodynamic instability and mimicry of common critical illnesses like ACS, DKA, and sepsis.
  • Biochemical screening for pheochromocytoma is recommended when a patient has a known or suspected genetic syndrome linked to pheochromocytoma, an adrenal mass incidentally found on imaging regardless of blood pressure, or signs and symptoms of a pheochromocytoma.
References

1. Riester A, Weismann D, Quinkler M, et al. Life-threatening events in patients with pheochromocytoma. Eur J Endocrinol. 2015;173(6):757-764. https://doi.org/10.1530/eje-15-0483
2. Whitelaw BC, Prague JK, Mustafa OG, et al. Phaeochromocytoma [corrected] crisis. Clin Endocrinol (Oxf). 2014;80(1):13-22. https://doi.org/10.1111/cen.12324
3. Lenders JW, Duh QY, Eisenhofer G, et al; Endocrine Society. Pheochromocytoma and paraganglioma: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2014;99(6):1915-1942. https://doi.org/10.1210/jc.2014-1498
4. Reisch N, Peczkowska M, Januszewicz A, Neumann HP. Pheochromocytoma: presentation, diagnosis and treatment. J Hypertens. 2006;24(12):2331-2339. https://doi.org/10.1097/01.hjh.0000251887.01885.54
5. Shen WT, Grogan R, Vriens M, Clark OH, Duh QY. One hundred two patients with pheochromocytoma treated at a single institution since the introduction of laparoscopic adrenalectomy. Arch Surg. 2010;145(9):893-897. https://doi.org/10.1001/archsurg.2010.159
6. Giavarini A, Chedid A, Bobrie G, Plouin PF, Hagège A, Amar L. Acute catecholamine cardiomyopathy in patients with phaeochromocytoma or functional paraganglioma. Heart. 2013;99(14):1438-1444. https://doi.org/10.1136/heartjnl-2013-304073
7. Lee TW, Lin KH, Chang CJ, Lew WH, Lee TI. Pheochromocytoma mimicking both acute coronary syndrome and sepsis: a case report. Med Princ Pract. 2013;22(4):405-407. https://doi.org/10.1159/000343578
8. Mesmar B, Poola-Kella S, Malek R. The physiology behind diabetes mellitus in patients with pheochromocytoma: a review of the literature. Endocr Pract. 2017;23(8):999-1005. https://doi.org/10.4158/ep171914.ra
9. Ueda T, Oka N, Matsumoto A, et al. Pheochromocytoma presenting as recurrent hypotension and syncope. Intern Med. 2005;44(3):222-227. https://doi.org/10.2169/internalmedicine.44.222
10. Neumann HPH, Young WF Jr, Eng C. Pheochromocytoma and paraganglioma. N Engl J Med. 2019;381(6):552-565. https://doi.org/10.1056/nejmra1806651
11. Scholten A, Cisco RM, Vriens MR, et al. Pheochromocytoma crisis is not a surgical emergency. J Clin Endocrinol Metab. 2013;98(2):581-591. https://doi.org/10.1210/jc.2012-3020
12. Pacak K. Phaeochromocytoma: a catecholamine and oxidative stress disorder. Endocr Regul. 2011;45:65-90.
13. Baxter MA, Hunter P, Thompson GR, London DR. Phaeochromocytomas as a cause of hypotension. Clin Endocrinol (Oxf). 1992;37(3):304-306. https://doi.org/10.1111/j.1365-2265.1992.tb02326.x
14. Campbell RL, Bellolio MF, Knutson BD, et al. Epinephrine in anaphylaxis: higher risk of cardiovascular complications and overdose after administration of intravenous bolus epinephrine compared with intramuscular epinephrine. J Allergy Clin Immunol Pract. 2015;3(1):76-80. https://doi.org/10.1016/j.jaip.2014.06.007
15. Benschop RJ, Rodriguez-Feuerhahn M, Schedlowski M. Catecholamine-induced leukocytosis: early observations, current research, and future directions. Brain Behav Immun. 1996;10(2):77-91. https://doi.org/10.1006/brbi.1996.0009
16. Dimitrov S, Lange T, Born J. Selective mobilization of cytotoxic leukocytes by epinephrine. J Immunol. 2010;184(1):503-511. https://doi.org/10.4049/jimmunol.0902189
17. Andersen LW, Mackenhauer J, Roberts JC, Berg KM, Cocchi MN, Donnino MW. Etiology and therapeutic approach to elevated lactate levels. Mayo Clin Proc. 2013;88(10):1127-1140. https://doi.org/10.1016/j.mayocp.2013.06.012
18. Levy B. Bench-to-bedside review: is there a place for epinephrine in septic shock? Crit Care. 2005;9(6):561-565. https://doi.org/10.1186/cc3901
19. Chen Y, Hodin RA, Pandolfi C, Ruan DT, McKenzie TJ. Hypoglycemia after resection of pheochromocytoma. Surgery. 2014;156:1404-1408; discussion 1408-1409. https://doi.org/10.1016/j.surg.2014.08.020
20. Pogorzelski R, Toutounchi S, Krajewska E, et al. The effect of surgical treatment of phaeochromocytoma on concomitant arterial hypertension and diabetes mellitus in a single-centre retrospective study. Cent European J Urol. 2014;67(4):361-365. https://doi.org/10.5173/ceju.2014.04.art9

References

1. Riester A, Weismann D, Quinkler M, et al. Life-threatening events in patients with pheochromocytoma. Eur J Endocrinol. 2015;173(6):757-764. https://doi.org/10.1530/eje-15-0483
2. Whitelaw BC, Prague JK, Mustafa OG, et al. Phaeochromocytoma [corrected] crisis. Clin Endocrinol (Oxf). 2014;80(1):13-22. https://doi.org/10.1111/cen.12324
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Issue
Journal of Hospital Medicine 16(10)
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Journal of Hospital Medicine 16(10)
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623-627. Published Online First July 21, 2021
Page Number
623-627. Published Online First July 21, 2021
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A Short-Lived Crisis
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Kapil Saxena, MD; Email: ksaxena@mdanderson.org; Telephone: 832-696-4297.
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