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Hospitalizations for VAP rose prior to pandemic
Health care–associated infections are a significant burden, and “ventilator associated-pneumonia is a contributor to that,” said Namratha S. Meda, MBBS, in a presentation at the annual meeting of the American College of Chest Physicians.
VAP can affect length of stay and other costs, but factors related to VAP hospitalization have not been well studied, said Dr. Meda, of Medstar Health/Georgetown University Hospital, Washington.
To examine trends in hospitalization for VAP, Dr. Meda and colleagues reviewed data from the National Inpatient Sample from January 2013 to December 2019. The study population included adult patients with VAP as a primary or secondary diagnosis based on ICD-9 or ICD-10 codes.
Overall, the trend in hospitalizations showed a consistent increase, said Dr. Meda.
The researchers identified 128,025 adult hospitalizations with VAP during the study period, with an increase from 50 VAP cases per 100,000 hospitalizations in 2013 to 75 cases per 100,000 hospitalizations in 2019.
A total of 42,120 hospitalizations were associated with tracheostomy, ventilator dependence, or both. Hospitalizations in these categories increased by 80% during the study period, from 15 cases per 100,000 hospitalizations in 2013 to 27 cases per 100,000 hospitalizations in 2019.
The median cost for each hospitalization was $83,311, and showed a 2.9% increase from 2013 to 2019. The estimated annual cost of VAP hospitalizations was approximately $2.8 billion in 2019, Dr. Meda emphasized. However, all-cause hospital mortality remained unchanged over the study period, at approximately 20%.
The mean age of the hospitalized VAP patients was 58 years across all VAP-related hospitalizations, and 36.5% were women. More than half (58%) were White, 21% were Black, and 12% were Hispanic.
The researchers noted some sex and racial disparities; the median age was lower for Black and Hispanic patients, compared with White patients, but all-cause mortality was lower. Men had a significantly longer median length of stay, compared with women (21 days vs. 19 days), and higher median costs ($87,981 vs. $74,889) with a P <.001 for both, but the all-cause in-hospital mortality was not significantly different between sexes.
The steady increase in hospitalization for VAP without a significant change in all-cause mortality, might be driven by hospitals with higher levels of tracheostomy and ventilator dependence, but more research is needed, Dr. Meda noted.
The study was limited by the observational design, which allowed the researchers to report an association, but not causality, said Dr. Meda. However, the results reflect the ongoing financial burden of VAP on the health care system, although “it would be interesting to see how the trend might change if we just looked at the clinical definition versus billing data,” she noted.
The study did not include data since the advent of COVID-19, but COVID is likely to drive the trend of increasing VAP hospitalization higher, Dr. Meda added.
The study received no outside funding. The researchers had no financial conflicts to disclose.
Health care–associated infections are a significant burden, and “ventilator associated-pneumonia is a contributor to that,” said Namratha S. Meda, MBBS, in a presentation at the annual meeting of the American College of Chest Physicians.
VAP can affect length of stay and other costs, but factors related to VAP hospitalization have not been well studied, said Dr. Meda, of Medstar Health/Georgetown University Hospital, Washington.
To examine trends in hospitalization for VAP, Dr. Meda and colleagues reviewed data from the National Inpatient Sample from January 2013 to December 2019. The study population included adult patients with VAP as a primary or secondary diagnosis based on ICD-9 or ICD-10 codes.
Overall, the trend in hospitalizations showed a consistent increase, said Dr. Meda.
The researchers identified 128,025 adult hospitalizations with VAP during the study period, with an increase from 50 VAP cases per 100,000 hospitalizations in 2013 to 75 cases per 100,000 hospitalizations in 2019.
A total of 42,120 hospitalizations were associated with tracheostomy, ventilator dependence, or both. Hospitalizations in these categories increased by 80% during the study period, from 15 cases per 100,000 hospitalizations in 2013 to 27 cases per 100,000 hospitalizations in 2019.
The median cost for each hospitalization was $83,311, and showed a 2.9% increase from 2013 to 2019. The estimated annual cost of VAP hospitalizations was approximately $2.8 billion in 2019, Dr. Meda emphasized. However, all-cause hospital mortality remained unchanged over the study period, at approximately 20%.
The mean age of the hospitalized VAP patients was 58 years across all VAP-related hospitalizations, and 36.5% were women. More than half (58%) were White, 21% were Black, and 12% were Hispanic.
The researchers noted some sex and racial disparities; the median age was lower for Black and Hispanic patients, compared with White patients, but all-cause mortality was lower. Men had a significantly longer median length of stay, compared with women (21 days vs. 19 days), and higher median costs ($87,981 vs. $74,889) with a P <.001 for both, but the all-cause in-hospital mortality was not significantly different between sexes.
The steady increase in hospitalization for VAP without a significant change in all-cause mortality, might be driven by hospitals with higher levels of tracheostomy and ventilator dependence, but more research is needed, Dr. Meda noted.
The study was limited by the observational design, which allowed the researchers to report an association, but not causality, said Dr. Meda. However, the results reflect the ongoing financial burden of VAP on the health care system, although “it would be interesting to see how the trend might change if we just looked at the clinical definition versus billing data,” she noted.
The study did not include data since the advent of COVID-19, but COVID is likely to drive the trend of increasing VAP hospitalization higher, Dr. Meda added.
The study received no outside funding. The researchers had no financial conflicts to disclose.
Health care–associated infections are a significant burden, and “ventilator associated-pneumonia is a contributor to that,” said Namratha S. Meda, MBBS, in a presentation at the annual meeting of the American College of Chest Physicians.
VAP can affect length of stay and other costs, but factors related to VAP hospitalization have not been well studied, said Dr. Meda, of Medstar Health/Georgetown University Hospital, Washington.
To examine trends in hospitalization for VAP, Dr. Meda and colleagues reviewed data from the National Inpatient Sample from January 2013 to December 2019. The study population included adult patients with VAP as a primary or secondary diagnosis based on ICD-9 or ICD-10 codes.
Overall, the trend in hospitalizations showed a consistent increase, said Dr. Meda.
The researchers identified 128,025 adult hospitalizations with VAP during the study period, with an increase from 50 VAP cases per 100,000 hospitalizations in 2013 to 75 cases per 100,000 hospitalizations in 2019.
A total of 42,120 hospitalizations were associated with tracheostomy, ventilator dependence, or both. Hospitalizations in these categories increased by 80% during the study period, from 15 cases per 100,000 hospitalizations in 2013 to 27 cases per 100,000 hospitalizations in 2019.
The median cost for each hospitalization was $83,311, and showed a 2.9% increase from 2013 to 2019. The estimated annual cost of VAP hospitalizations was approximately $2.8 billion in 2019, Dr. Meda emphasized. However, all-cause hospital mortality remained unchanged over the study period, at approximately 20%.
The mean age of the hospitalized VAP patients was 58 years across all VAP-related hospitalizations, and 36.5% were women. More than half (58%) were White, 21% were Black, and 12% were Hispanic.
The researchers noted some sex and racial disparities; the median age was lower for Black and Hispanic patients, compared with White patients, but all-cause mortality was lower. Men had a significantly longer median length of stay, compared with women (21 days vs. 19 days), and higher median costs ($87,981 vs. $74,889) with a P <.001 for both, but the all-cause in-hospital mortality was not significantly different between sexes.
The steady increase in hospitalization for VAP without a significant change in all-cause mortality, might be driven by hospitals with higher levels of tracheostomy and ventilator dependence, but more research is needed, Dr. Meda noted.
The study was limited by the observational design, which allowed the researchers to report an association, but not causality, said Dr. Meda. However, the results reflect the ongoing financial burden of VAP on the health care system, although “it would be interesting to see how the trend might change if we just looked at the clinical definition versus billing data,” she noted.
The study did not include data since the advent of COVID-19, but COVID is likely to drive the trend of increasing VAP hospitalization higher, Dr. Meda added.
The study received no outside funding. The researchers had no financial conflicts to disclose.
FROM CHEST 2022
Sepsis transition program may lower mortality in patients discharged to post-acute care
Sepsis survivors discharged to post-acute care facilities are at high risk for mortality and hospital readmission, according to Nicholas Colucciello, MD, and few interventions have been shown to reduce these adverse outcomes.
Dr. Colucciello and colleagues compared the effects of a Sepsis Transition And Recovery (STAR) program versus Usual Care (UC) alone on 30-day mortality and hospital readmission among sepsis survivors discharged to post-acute care.
In a study presented at the annual meeting of the American College of Chest Physicians (CHEST), Dr. Colucciello, a primary care physician in Toledo, Ohio, presented data suggesting that
Study of IMPACTS
The study was a secondary analysis of patients from the IMPACTS (Improving Morbidity During Post-Acute Care Transitions for Sepsis) randomized clinical trial, focusing only on those patients who were discharged to a post-acute care facility. IMPACTS evaluated the effectiveness of STAR, a post-sepsis transition program using nurse navigators to deliver best-practice post-sepsis care during and after hospitalization, Dr. Colucciello said. The interventions included comorbidity monitoring, medication review, evaluation for new impairments/symptoms, and goals of care assessment.
“Over one-third of sepsis survivors are discharged to post-acute care as they are not stable enough to go home,” said Dr. Colucciello, and among these patients there is a high risk for mortality and hospital readmission.
Dr. Colucciello and his colleagues randomly assigned patients hospitalized with sepsis and deemed high risk for post-discharge readmission or mortality to either STAR or usual care. The primary outcome was a composite of 30-day readmission and mortality, which was assessed from the electronic health record and social security death master file.
Of the 175 (21%) IMPACTS patients discharged to post-acute care facilities, 143 (82%) were sent to skilled nursing facilities, and 12 (7%) were sent to long-term acute care hospitals. The remaining 20 patients (11%) were sent to inpatient rehabilitation. A total of 88 of these patients received the STAR intervention and 87 received usual care.
Suggestive results
The study showed that the composite primary endpoint occurred in 26 (30.6%) patients in the usual care group versus 18 (20.7%) patients in the STAR group, for a risk difference of –9.9% (95% CI, –22.9 to 3.1), according to Dr. Colucciello. As individual factors, 30-day all-cause mortality was 8.2% in the UC group, compared with 5.8% in the STAR group, for a risk difference of –2.5% (95% CI, –10.1 to 5.0) and the 30-day all-cause readmission was 27.1% in the UC group, compared with 17.2% in the STAR program, for a risk difference of –9.8% (95% CI, –22.2 to 2.5). On average, patients receiving UC experienced 26.5 hospital-free days, compared with 27.4 hospital-free days in the STAR group, he added.
The biggest limitation of the study was the fact that it was underpowered to detect statistically significant differences, despite the suggestive results, said Dr. Colucciello. However, he added: “This secondary analysis of the IMPACTS randomized trial found that the STAR intervention may decrease 30-day mortality and readmission rates among sepsis patients discharged to a post-acute care facility,” he concluded.
Dr. Colucciello and colleagues report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Sepsis survivors discharged to post-acute care facilities are at high risk for mortality and hospital readmission, according to Nicholas Colucciello, MD, and few interventions have been shown to reduce these adverse outcomes.
Dr. Colucciello and colleagues compared the effects of a Sepsis Transition And Recovery (STAR) program versus Usual Care (UC) alone on 30-day mortality and hospital readmission among sepsis survivors discharged to post-acute care.
In a study presented at the annual meeting of the American College of Chest Physicians (CHEST), Dr. Colucciello, a primary care physician in Toledo, Ohio, presented data suggesting that
Study of IMPACTS
The study was a secondary analysis of patients from the IMPACTS (Improving Morbidity During Post-Acute Care Transitions for Sepsis) randomized clinical trial, focusing only on those patients who were discharged to a post-acute care facility. IMPACTS evaluated the effectiveness of STAR, a post-sepsis transition program using nurse navigators to deliver best-practice post-sepsis care during and after hospitalization, Dr. Colucciello said. The interventions included comorbidity monitoring, medication review, evaluation for new impairments/symptoms, and goals of care assessment.
“Over one-third of sepsis survivors are discharged to post-acute care as they are not stable enough to go home,” said Dr. Colucciello, and among these patients there is a high risk for mortality and hospital readmission.
Dr. Colucciello and his colleagues randomly assigned patients hospitalized with sepsis and deemed high risk for post-discharge readmission or mortality to either STAR or usual care. The primary outcome was a composite of 30-day readmission and mortality, which was assessed from the electronic health record and social security death master file.
Of the 175 (21%) IMPACTS patients discharged to post-acute care facilities, 143 (82%) were sent to skilled nursing facilities, and 12 (7%) were sent to long-term acute care hospitals. The remaining 20 patients (11%) were sent to inpatient rehabilitation. A total of 88 of these patients received the STAR intervention and 87 received usual care.
Suggestive results
The study showed that the composite primary endpoint occurred in 26 (30.6%) patients in the usual care group versus 18 (20.7%) patients in the STAR group, for a risk difference of –9.9% (95% CI, –22.9 to 3.1), according to Dr. Colucciello. As individual factors, 30-day all-cause mortality was 8.2% in the UC group, compared with 5.8% in the STAR group, for a risk difference of –2.5% (95% CI, –10.1 to 5.0) and the 30-day all-cause readmission was 27.1% in the UC group, compared with 17.2% in the STAR program, for a risk difference of –9.8% (95% CI, –22.2 to 2.5). On average, patients receiving UC experienced 26.5 hospital-free days, compared with 27.4 hospital-free days in the STAR group, he added.
The biggest limitation of the study was the fact that it was underpowered to detect statistically significant differences, despite the suggestive results, said Dr. Colucciello. However, he added: “This secondary analysis of the IMPACTS randomized trial found that the STAR intervention may decrease 30-day mortality and readmission rates among sepsis patients discharged to a post-acute care facility,” he concluded.
Dr. Colucciello and colleagues report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Sepsis survivors discharged to post-acute care facilities are at high risk for mortality and hospital readmission, according to Nicholas Colucciello, MD, and few interventions have been shown to reduce these adverse outcomes.
Dr. Colucciello and colleagues compared the effects of a Sepsis Transition And Recovery (STAR) program versus Usual Care (UC) alone on 30-day mortality and hospital readmission among sepsis survivors discharged to post-acute care.
In a study presented at the annual meeting of the American College of Chest Physicians (CHEST), Dr. Colucciello, a primary care physician in Toledo, Ohio, presented data suggesting that
Study of IMPACTS
The study was a secondary analysis of patients from the IMPACTS (Improving Morbidity During Post-Acute Care Transitions for Sepsis) randomized clinical trial, focusing only on those patients who were discharged to a post-acute care facility. IMPACTS evaluated the effectiveness of STAR, a post-sepsis transition program using nurse navigators to deliver best-practice post-sepsis care during and after hospitalization, Dr. Colucciello said. The interventions included comorbidity monitoring, medication review, evaluation for new impairments/symptoms, and goals of care assessment.
“Over one-third of sepsis survivors are discharged to post-acute care as they are not stable enough to go home,” said Dr. Colucciello, and among these patients there is a high risk for mortality and hospital readmission.
Dr. Colucciello and his colleagues randomly assigned patients hospitalized with sepsis and deemed high risk for post-discharge readmission or mortality to either STAR or usual care. The primary outcome was a composite of 30-day readmission and mortality, which was assessed from the electronic health record and social security death master file.
Of the 175 (21%) IMPACTS patients discharged to post-acute care facilities, 143 (82%) were sent to skilled nursing facilities, and 12 (7%) were sent to long-term acute care hospitals. The remaining 20 patients (11%) were sent to inpatient rehabilitation. A total of 88 of these patients received the STAR intervention and 87 received usual care.
Suggestive results
The study showed that the composite primary endpoint occurred in 26 (30.6%) patients in the usual care group versus 18 (20.7%) patients in the STAR group, for a risk difference of –9.9% (95% CI, –22.9 to 3.1), according to Dr. Colucciello. As individual factors, 30-day all-cause mortality was 8.2% in the UC group, compared with 5.8% in the STAR group, for a risk difference of –2.5% (95% CI, –10.1 to 5.0) and the 30-day all-cause readmission was 27.1% in the UC group, compared with 17.2% in the STAR program, for a risk difference of –9.8% (95% CI, –22.2 to 2.5). On average, patients receiving UC experienced 26.5 hospital-free days, compared with 27.4 hospital-free days in the STAR group, he added.
The biggest limitation of the study was the fact that it was underpowered to detect statistically significant differences, despite the suggestive results, said Dr. Colucciello. However, he added: “This secondary analysis of the IMPACTS randomized trial found that the STAR intervention may decrease 30-day mortality and readmission rates among sepsis patients discharged to a post-acute care facility,” he concluded.
Dr. Colucciello and colleagues report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
FROM CHEST 2022
Sepsis predictor tool falls short in emergency setting
Use of a sepsis predictor made little difference in time to antibiotic administration for septic patients in the emergency department, based on data from more than 200 patients.
“One of the big problems with sepsis is the lack of current tools for early and accurate diagnoses,” said Daniel Burgin, MD, an internal medicine resident at Louisiana State University, Baton Rouge, in a presentation at the annual meeting of the American College of Chest Physicians.
The EPIC Sepsis Model (ESM) was designed to help facilitate earlier detection of sepsis and speed time to the start of antibiotics, but its effectiveness has not been well studied, Dr. Burgin said.
In Dr. Burgin’s facility, the ESM is mainly driven by systemic inflammatory response syndrome (SIRS) and blood pressure and is calculated every 15 minutes; the system triggers a best-practice advisory if needed, with an alert that sepsis may be suspected.
To assess the impact of ESM on time to antibiotics, Dr. Burgin and colleagues reviewed data from 226 adult patients who presented to a single emergency department between February 2019 and June 2019. All patients presented with at least two criteria for SIRS. An ESM threshold of 6 was designed to trigger a set of orders to guide providers on a treatment plan that included antibiotics.
The researchers compared times to the ordering and the administration of antibiotics for patients with ESM scores of 6 or higher vs. less than 6 within 6 hours of triage in the ED. A total of 109 patients (48.2%) received antibiotics in the ED. Of these, 71 (74.5%) had ESM less than 6 and 38 (40.6%) had ESM of 6 or higher. The times from triage to antibiotics ordered and administered was significantly less in patients with ESM of 6 or higher (90.5 minutes vs. 131.5 minutes; 136 minutes vs. 186 minutes, respectively; P = .011 for both).
A total of 188 patients were evaluated for infection, and 86 met Sepsis-2 criteria based on physician chart review. These patients were significantly more likely than those not meeting the Sepsis-2 criteria to receive antibiotics in the ED (76.7% vs. 22.8%; P <.001).
Another 21 patients met criteria for Sepsis-3 based on a physician panel. Although all 21 received antibiotics, 5 did not receive them within 6 hours of triage in the ED, Dr. Burgin said. The median times to ordering and administration of antibiotics for Sepsis-3 patients with an ESM of 6 or higher were –5 and 38.5 (interquartile range), respectively.
“We hope that the ESM would prompt providers to start the order [for antibiotics],” Dr. Burgin said in his presentation. However, the researchers found no consistent patterns, and in many cases the ESM alerts occurred after the orders had been initiated, he noted.
The study findings were limited by the use of data from a single center; the implementation of the EPIC tool is hospital specific, said Dr. Burgin. However, the results suggest that he said.
“While this research proved useful in assessing the impact of ESM on time to antibiotics, more research is needed to understand how to operationalize predictive analytics,” Dr. Burgin said of the study findings. “The goal is to find the balance between early identification of sepsis and timely antimicrobial therapy and the potential harm of overalerting treatment teams.”
The study was supported in part by Cytovale, a sepsis diagnostics company. Several coauthors disclosed financial relationships with Cytovale. Dr. Burgin reports no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Use of a sepsis predictor made little difference in time to antibiotic administration for septic patients in the emergency department, based on data from more than 200 patients.
“One of the big problems with sepsis is the lack of current tools for early and accurate diagnoses,” said Daniel Burgin, MD, an internal medicine resident at Louisiana State University, Baton Rouge, in a presentation at the annual meeting of the American College of Chest Physicians.
The EPIC Sepsis Model (ESM) was designed to help facilitate earlier detection of sepsis and speed time to the start of antibiotics, but its effectiveness has not been well studied, Dr. Burgin said.
In Dr. Burgin’s facility, the ESM is mainly driven by systemic inflammatory response syndrome (SIRS) and blood pressure and is calculated every 15 minutes; the system triggers a best-practice advisory if needed, with an alert that sepsis may be suspected.
To assess the impact of ESM on time to antibiotics, Dr. Burgin and colleagues reviewed data from 226 adult patients who presented to a single emergency department between February 2019 and June 2019. All patients presented with at least two criteria for SIRS. An ESM threshold of 6 was designed to trigger a set of orders to guide providers on a treatment plan that included antibiotics.
The researchers compared times to the ordering and the administration of antibiotics for patients with ESM scores of 6 or higher vs. less than 6 within 6 hours of triage in the ED. A total of 109 patients (48.2%) received antibiotics in the ED. Of these, 71 (74.5%) had ESM less than 6 and 38 (40.6%) had ESM of 6 or higher. The times from triage to antibiotics ordered and administered was significantly less in patients with ESM of 6 or higher (90.5 minutes vs. 131.5 minutes; 136 minutes vs. 186 minutes, respectively; P = .011 for both).
A total of 188 patients were evaluated for infection, and 86 met Sepsis-2 criteria based on physician chart review. These patients were significantly more likely than those not meeting the Sepsis-2 criteria to receive antibiotics in the ED (76.7% vs. 22.8%; P <.001).
Another 21 patients met criteria for Sepsis-3 based on a physician panel. Although all 21 received antibiotics, 5 did not receive them within 6 hours of triage in the ED, Dr. Burgin said. The median times to ordering and administration of antibiotics for Sepsis-3 patients with an ESM of 6 or higher were –5 and 38.5 (interquartile range), respectively.
“We hope that the ESM would prompt providers to start the order [for antibiotics],” Dr. Burgin said in his presentation. However, the researchers found no consistent patterns, and in many cases the ESM alerts occurred after the orders had been initiated, he noted.
The study findings were limited by the use of data from a single center; the implementation of the EPIC tool is hospital specific, said Dr. Burgin. However, the results suggest that he said.
“While this research proved useful in assessing the impact of ESM on time to antibiotics, more research is needed to understand how to operationalize predictive analytics,” Dr. Burgin said of the study findings. “The goal is to find the balance between early identification of sepsis and timely antimicrobial therapy and the potential harm of overalerting treatment teams.”
The study was supported in part by Cytovale, a sepsis diagnostics company. Several coauthors disclosed financial relationships with Cytovale. Dr. Burgin reports no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Use of a sepsis predictor made little difference in time to antibiotic administration for septic patients in the emergency department, based on data from more than 200 patients.
“One of the big problems with sepsis is the lack of current tools for early and accurate diagnoses,” said Daniel Burgin, MD, an internal medicine resident at Louisiana State University, Baton Rouge, in a presentation at the annual meeting of the American College of Chest Physicians.
The EPIC Sepsis Model (ESM) was designed to help facilitate earlier detection of sepsis and speed time to the start of antibiotics, but its effectiveness has not been well studied, Dr. Burgin said.
In Dr. Burgin’s facility, the ESM is mainly driven by systemic inflammatory response syndrome (SIRS) and blood pressure and is calculated every 15 minutes; the system triggers a best-practice advisory if needed, with an alert that sepsis may be suspected.
To assess the impact of ESM on time to antibiotics, Dr. Burgin and colleagues reviewed data from 226 adult patients who presented to a single emergency department between February 2019 and June 2019. All patients presented with at least two criteria for SIRS. An ESM threshold of 6 was designed to trigger a set of orders to guide providers on a treatment plan that included antibiotics.
The researchers compared times to the ordering and the administration of antibiotics for patients with ESM scores of 6 or higher vs. less than 6 within 6 hours of triage in the ED. A total of 109 patients (48.2%) received antibiotics in the ED. Of these, 71 (74.5%) had ESM less than 6 and 38 (40.6%) had ESM of 6 or higher. The times from triage to antibiotics ordered and administered was significantly less in patients with ESM of 6 or higher (90.5 minutes vs. 131.5 minutes; 136 minutes vs. 186 minutes, respectively; P = .011 for both).
A total of 188 patients were evaluated for infection, and 86 met Sepsis-2 criteria based on physician chart review. These patients were significantly more likely than those not meeting the Sepsis-2 criteria to receive antibiotics in the ED (76.7% vs. 22.8%; P <.001).
Another 21 patients met criteria for Sepsis-3 based on a physician panel. Although all 21 received antibiotics, 5 did not receive them within 6 hours of triage in the ED, Dr. Burgin said. The median times to ordering and administration of antibiotics for Sepsis-3 patients with an ESM of 6 or higher were –5 and 38.5 (interquartile range), respectively.
“We hope that the ESM would prompt providers to start the order [for antibiotics],” Dr. Burgin said in his presentation. However, the researchers found no consistent patterns, and in many cases the ESM alerts occurred after the orders had been initiated, he noted.
The study findings were limited by the use of data from a single center; the implementation of the EPIC tool is hospital specific, said Dr. Burgin. However, the results suggest that he said.
“While this research proved useful in assessing the impact of ESM on time to antibiotics, more research is needed to understand how to operationalize predictive analytics,” Dr. Burgin said of the study findings. “The goal is to find the balance between early identification of sepsis and timely antimicrobial therapy and the potential harm of overalerting treatment teams.”
The study was supported in part by Cytovale, a sepsis diagnostics company. Several coauthors disclosed financial relationships with Cytovale. Dr. Burgin reports no relevant financial relationships.
A version of this article first appeared on Medscape.com.
FROM CHEST 2022