AMI and Heavy Drinking

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Alcohol‐related diagnoses and increased mortality in acute myocardial infarction patients: An analysis of the nationwide inpatient sample

Moderate alcohol consumption has been associated with lower risk of coronary heart disease death.[1, 2, 3] This benefit has been shown across all age groups, both sexes, in low‐risk patients (without prior cardiovascular disease [CVD], diabetics and even in patients with established CVD.[3, 4, 5, 6, 7, 8, 9, 10, 11, 12] The relationship between the dose of alcohol and total mortality has been depicted in many observational studies as a J‐shaped curve, attributed to a combined effect of both benefits and harms.[3, 4, 13] Unlike moderate drinking, heavy drinking and particularly binge drinking may have net negative cardiovascular effects. For example, higher levels of intake of alcohol were associated with increased mortality in men with previous myocardial infarction,[14] whereas some reports suggest a continued beneficial association with acute myocardial infarction (AMI).[15, 16, 17] In other studies, the association between AMI and binge or chronic heavy drinking is inconsistent or lacks enough power to report the risk/benefit estimates.[3] Data are sparse on the effects of alcoholism on outcomes in patients hospitalized due to an AMI. Therefore, we sought to investigate the prevalence and association of alcohol‐related diagnoses with in‐hospital mortality in patients presenting with AMI in the United States.

METHODS

This study was a cross‐sectional analysis of the 2011 Nationwide Inpatient Sample (NIS). The NIS is a publicly available deidentified database of hospital discharges in the United States.[18] It contains data from approximately 8 million hospital stays that were selected using a complex probability sampling design and weighting scheme intended to represent all discharges from nonfederal hospitals in the United States. Each record includes 1 primary diagnosis and up to 24 secondary diagnoses.

Analysis was conducted for all patients aged 21 years and greater with a primary discharge diagnosis of AMI based on International Classification of Diseases, 9th Revision (ICD‐9) codes. ST‐elevation myocardial infarction (STEMI) and nonST‐elevation myocardial infarction (NSTEMI) were recorded when the principal diagnosis included the appropriate ICD‐9 codes (see Supporting Table 1 in the online version of this article). Alcohol‐related diagnosis was categorized as the presence of alcohol use disorders or other chronic conditions caused by heavy drinking such as alcoholic cardiomyopathy and alcoholic liver disease among others. Variables reflecting acute effects and chronic effects of alcohol use were created for analytic purposes. Acute effects that increase the risk for acute withdrawal syndrome and hemodynamic instability (and may thereby effect mortality) were characterized by alcohol withdrawal, acute alcoholic hepatitis, alcoholic gastritis, or acute alcohol intoxication. Chronic effects of alcohol were characterized by alcohol dependence, alcoholic polyneuropathy, alcoholic cardiomyopathy, or alcoholic liver damage other than acute hepatitis. A number of comorbidities were generated from ICD‐9 codes including smoking, chronic liver disease, peripheral vascular disease, hypertension, diabetes, renal failure, drug abuse, arrhythmia, and gastrointestinal bleeding using Clinical Classification Software codes provided by the Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality[19] (see Supporting Table 1 in the online version of this article).

The risk for alcohol‐related diagnoses in AMI patients adjusting for age and sex was estimated using all adult discharge records. All other analyses included only AMI discharges. The principal outcome measure was in‐hospital mortality. Secondary outcomes included having a cardiac procedure (diagnostic catheterization, percutaneous coronary angioplasty, or coronary bypass grafting), and length of stay.

All statistical analyses were performed using Statistical Analysis Software version 9.4 (SAS Inc., Cary, NC). Logistic regression methods appropriate for the NIS sample design were utilized to predict AMI mortality risk associated with alcohol‐related diagnoses (overall and separately for acute and chronic alcohol‐related diagnoses). Mortality risk was evaluated in all AMI discharges and again for STEMI and NSTEMI discharges. To control for factors frequently associated with alcoholism, adjustment was made for age, sex, liver disease, hypertension, diabetes, renal failure, peripheral vascular disease, arrhythmias, drug abuse, gastrointestinal bleed, and smoking. For secondary outcomes, odds ratios were calculated for having a cardiac procedure performed during the hospital admission and length of stay above the median.

RESULTS

Table 1 lists characteristics of AMI patients stratified by in‐hospital mortality. In 2011, AMI accounted for 610,963 (1.9%) of overall adult hospital admissions, with an in‐hospital mortality of 5.3%. Thirty‐two percent were STEMI admissions and 68% were NSTEMI admissions with in‐hospital mortality of 8.5% and 3.8%, respectively. Patients with alcohol‐related diagnoses comprised 18,684 (3.1%) of all AMI admissions. This prevalence was significantly lower relative to non‐AMI admissions (4.9%), even after age and sex adjustment (adjusted odds ratio [OR]: 0.7, 95% confidence interval [CI]: 0.6‐0.7, P 0.001).

Baseline Characteristics of AMI Patients
Variables AMI, In‐hospital Death AMI, Alive at Discharge P Value
  • NOTE: Values are expressed as weighted number of patient's (%) for dichotomous variables and mean for continuous variables. Abbreviations: AMI, acute myocardial infarction; NSTEMI, NonST‐elevation myocardial infarction; SD, standard deviation; STEMI, ST‐elevation myocardial infarction.

No. 32,399 (5.3) 578,564 (94.7) 0.0001
Age, y (SD) 76 (7577) 67 (6668)
Sex
Males 17,483 (54) 352,943 (61) 0.0001
Females 14,916 (46) 225,621 (39) 0.0001
Race
White 22,517 (70) 387,816 (67) 0.0001
Black 2,580 (7.9) 56,735 (9.8) 0.0001
Hispanic 2,002 (6.1) 41,399 (7.2) 0.0001
Asian 685 (2) 11,160 (1.9) 0.0001
Native American 146 (0.3) 2,240 (0.4) 0.0001
Others 991 (3) 17,711 (3.2) 0.0001
Unspecified 3,478 (10.7) 61,503 (10.5) 0.0001
STEMI 16,437 (50.7) 177,240 (30.6) 0.0001
NSTEMI 15,962 (49.3) 401,324 (69.4) 0.0001
Alcohol diagnoses
Acute drinking 110 (0.3) 2,615 (0.5) 0.1389
Chronic drinking 816 (2.5) 15,143 (2.6) 0.2473
Comorbidities
Diabetes mellitus 11,497 (35.5) 211,321 (36.5) 0.5963
Hypertension 20,068 (61.9) 411,853 (71.2) 0.0001
Peripheral vascular disease 4,962 (15.3) 70,024 (12.1) 0.0001
Renal failure 9,929 (30.6) 113,714 (19.7) 0.0001
Drug abuse 330 (1.0) 13,263 (2.3) 0.0001
Arrhythmias 14,977 (46.2) 167,286 (28.9) 0.0001
Liver disease 442 (1.4) 6,493 (1.1) 0.0753
Smoking history 6,736 (20.8) 210,205 (36.3) 0.0001
Gastrointestinal bleed 1,982 (6.1) 12,086 (2.1) 0.0001

Table 2 lists the characteristics of AMI patients stratified by alcohol status. Patients with alcohol‐related disorders presenting with AMI were younger, overwhelmingly male, and had a higher prevalence of the following comorbid conditions: drug abuse, liver disease, gastrointestinal bleeding, and smoking history. They had a lower prevalence of diabetes, hypertension, and renal failure.

Acute Myocardial Infarction Patient Characteristics With and Without Alcohol‐Related Diagnoses
Variables Alcohol‐Related Diagnoses No Alcohol‐Related Diagnoses P Value
  • NOTE: Values are expressed as weighted number of patient's (%) for dichotomous variables and mean for continuous variables. Abbreviations: NSTEMI, nonST‐elevation myocardial infarction; STEMI, ST‐elevation myocardial infarction.

No. 18,684 (3.1) 592,279 (96.9) 0.0001
Age, y, mean 59 (5860) 68 (6769) 0.0001
Sex
Males 16,315 (87.3) 354,051 (59.8) 0.0001
Females 2,369 (12.7) 238,228 (40.2) 0.0001
Race
White 11,917 (63.8) 398,766 (67.2) 0.0001
Black 2,613 (13.9) 56,723 (9.6) 0.0001
Hispanic 1,400 (7.5) 42,052 (7.1) 0.0001
Asian 125 (0.7) 11,724 (1.9) 0.0001
Native American 165 (0.9) 2,221 (0.4) 0.0001
Others 570 (2.9) 18,139 (3.2) 0.0001
Unspecified 1,894 (10.1) 62,654 (10.6) 0.0001
STEMI 6,541 (35.1) 187,136 (31.2) 0.0001
NSTEMI 12,143 (64.9) 405,143 (68.8) 0.0001
Died 881 (4.7) 31,518 (5.3) 0.1312
Comorbidities
Diabetes mellitus 4,663 (24.9) 218,446 (36.8) 0.0001
Hypertension 12,501 (66.8) 420,001 (70.8) 0.0001
Peripheral vascular disease 2,269 (12.1) 72,773 (12.3) 0.7987
Renal failure 1,937 (10.4) 121,925 (20.6) 0.0001
Drug abuse 2,894 (15.5) 10,708 (1.8) 0.0001
Arrhythmias 5,476 (29.3) 177,088 (29.9) 0.4076
Liver disease 887 (4.7) 6,053 (1.0) 0.0001
Smoking history 12,771 (68.3) 204,390 (34.5) 0.0001
Gastrointestinal bleed 730 (3.9) 13,347 (2.3) 0.0001

Among AMI patients, unadjusted in‐hospital mortality was observed to be similar in the alcohol use disorder group (4.7% vs 5.3%, P = 0.131), STEMI hospitalizations (7.9% vs 8.5%, P = 0.475), and lower in NSTEMI hospitalizations (3% vs 3.9%, P = 0.035). However, as shown in Table 2, there were a number of factors that may have influenced death in AMI patients that differed between those with and without alcohol diagnoses. Table 3 shows the adjusted risk for death and each secondary outcome. After adjusting for factors associated with alcoholism, including age, sex, liver disease, hypertension, diabetes, renal failure, drug abuse, gastrointestinal bleed, and smoking, alcohol‐related diagnoses were associated with increased mortality in AMI hospitalizations (adjusted OR: 1.5, 95% CI: 1.2‐1.7, P 0.001). Contrary to our expectations, however, acute alcohol‐related diagnoses were not independently associated with mortality. The association with alcohol‐related diagnoses was significant in both STEMI (adjusted OR: 1.7, 95% CI: 1.4‐2.2, P 0.001) and NSTEMI patients (adjusted OR: 1.3, 95% CI: 1.0‐1.7, P = 0.025).

Multivariate Regression Analysis Predicting Odds of Mortality, Increased Length of Stay, and Cardiac Procedures
Adjusted Odds Ratio* 95% Confidence Intervals P Value
  • NOTE: Abbreviations: AMI, Acute myocardial infarction; CABG, coronary artery by‐pass grafting; NSTEMI, nonST‐elevation myocardial infarction; STEMI, ST‐elevation myocardial infarction. *Adjusted for age, sex, hypertension, diabetes, liver disease, renal failure, gastrointestinal bleeding, drug abuse, and smoking. Acute effects of alcohol characterized by alcohol withdrawal, acute alcoholic hepatitis, alcoholic gastritis, or acute alcohol intoxication. Chronic effects of alcohol characterized by alcohol dependence, alcoholic polyneuropathy, alcoholic cardiomyopathy, or alcoholic liver damage.

Primary outcome: death
AMI
Alcohol diagnoses 1.5 1.21.7 0.001
Acute alcohol diagnoses 1.0 0.71.5 0.886
Chronic alcohol diagnoses 1.5 1.21.8 0.001
STEMI
Alcohol diagnoses 1.7 1.42.2 0.001
Acute alcohol diagnoses 1.1 0.61.9 0.835
Chronic alcohol diagnoses 1.6 1.22.1 0.001
NSTEMI
Alcohol diagnoses 1.3 1.01.7 0.025
Acute alcohol diagnoses 1.2 0.72.1 0.581
Chronic alcohol diagnoses 1.4 1.11.9 0.022
Secondary outcomes
AMI
Length of stay 1.5 1.31.6 0.001
All cardiac procedures 0.6 0.60.7 0.001
CABG 1.2 1.01.3 0.008
Angioplasty 0.6 0.60.7 0.001
Diagnostic angiogram 0.7 0.60.8 0.001
STEMI
Length of stay 1.2 1.11.4 0.001
All cardiac procedures 0.6 0.50.7 0.001
CABG 1.2 0.91.5 0.125
Angioplasty 0.6 0.50.7 0.001
Diagnostic angiogram 0.7 0.60.9 0.001
NSTEMI
Length of stay 1.6 1.51.8 0.001
All cardiac procedures 0.7 0.60.8 0.001
CABG 1.1 0.91.5 0.125
Angioplasty 0.6 0.60.7 0.001
Diagnostic angiogram 0.7 0.60.8 0.001

Regarding secondary outcomes, alcohol‐related diagnoses were associated with an increased length of stay, fewer diagnostic catheterizations and angioplasties, but higher coronary artery bypass grafting (CABG) procedures (Table 3).

DISCUSSION

In this analysis of AMI discharges, a modestly increased risk of in‐hospital mortality was found for patients with alcohol‐related diagnoses, although AMI patients were less likely to have a diagnosis related to alcohol. This increased risk of in‐hospital mortality was present in both STEMI and NSTEMI patients with alcohol‐related diagnoses, and was present in patients with chronic alcohol‐related diagnoses but not with withdrawal or intoxication. In addition to mortality differences, AMI patients with alcohol‐related diagnoses had a higher length of stay, but were less likely to have a cardiac procedure.

The association of alcohol‐related diagnoses with cardiovascular outcomes is not as well defined as the beneficial association between coronary heart disease and moderate alcohol use. Heavy drinking has been associated with greater risk of sudden cardiac death in subjects with preexisting coronary heart disease.[20, 21] Data from the Nurses Health Study demonstrated a U‐shaped curve between alcohol use and sudden cardiac death, but with limited power for assessing heavy drinking patterns.[22] In the Physicians Health Study, there was no significant increase in the risk of sudden cardiac death in men with higher intake of alcohol (2 drinks/day), but again with limited power for evaluating truly heavy drinking.[23] More recently, as shown by Mukamal et al., there was a trend toward higher overall cardiovascular deaths (OR: 1.07, 95% CI: 0.94‐1.22) but lower coronary heart disease mortality (OR: 0.80, 95% CI: 0.61‐1.05) in heavy drinkers, but results were not statistically significant even after adjusting for age, sex, and race.[3] One study demonstrated that heavy episodic drinking within the preceding 24 hours was associated with an increased risk of myocardial infarction (OR: 1.4, 95% confidence interval: 1.1‐1.9), particularly in the elderly (>65 years old) (OR: 5.3, 95% CI: 1.6‐18),[24] but the study did not consider mortality. The more recent study done by Mostofsky et al. has shown higher incidence of AMI onset within 1 hour after alcohol consumption among people who are not daily drinkers,[25] but the study did not consider mortality outcomes.

As an extension of knowledge regarding the association of alcohol‐related diagnoses with cardiovascular outcomes, we believe that our analysis of the NIS is the first to show a statistically significant positive age‐adjusted association of in‐hospital mortality with alcohol‐related diagnoses in AMI patients. Episodic or binge drinking has been noted to have proarrhythmogenic effects leading to sudden cardiac death.[26] This would often occur prior to hospitalization, but once hospitalized the presence of rhythm abnormalities was not associated with alcohol diagnoses. Alcohol effects might also be expected to lead to increased AMI mortality due to autonomic instability, gastrointestinal bleeding, or liver disease, but intoxication, withdrawal, gastrointestinal bleeding, liver disease, or comorbid tobacco or drug abuse did not account for excess alcohol‐associated AMI mortality in this study. Additional research will be required to determine the reasons underlying the increased age‐adjusted mortality.

The important strength of the present study includes the use of a large national database that allowed us to link alcohol‐related diagnoses to AMI death in the hospital, and to explore potential confounders of this association (eg, gastrointestinal bleeding, withdrawal, liver disease). However, a number of limitations merit consideration. The NIS sampling frame is limited to hospital discharges. As such, we have no data on prehospital AMI death and alcohol use pattern immediately preceding hospitalization. Similarly, we were unable to consider mortality immediately beyond the hospital discharge. Other important predictors that are not recorded in the NIS are details regarding a patient's physical activity and medications such as statins and ‐blockers that could affect survivorship in AMI patients. Another potential limitation of our analysis is the lack of differentiating between type 2 myocardial infarction, occurring from sepsis or acute kidney injury, from a true NSTEMI. However, we included only primary discharge diagnoses of AMI, and results for STEMI and NSTEMI discharges were similar. Regarding the cross‐sectional study design, we are unable to establish a cause and effect relationship between in‐hospital AMI mortality and alcohol‐related diagnoses. The NIS data were abstracted from administrative databases that may lack important details on alcohol‐related problems. In particular, it seems likely that heavy drinkers with less obvious alcohol‐related problems would be underidentified in clinical settings, and this may have biased our results toward an overestimation of the alcohol‐associated risk. Due to these limitations, AMI mortality will need to be evaluated in other samples to definitively evaluate associations with diagnoses related to heavy drinking and determine the reasons underlying the association. The increased death and CABG despite decreased angiography and angioplasty suggests that these patients presentations may be with more severe coronary heart disease, which is a question requiring further study. Finally, an alcohol user who presents with an AMI is less likely to have cardiac risk factors like diabetes, renal failure, and possibly hypertension. Rather, alcohol diagnoses in AMI patients associate with tobacco and drug abuse, liver disease, and higher age‐adjusted risk for death. It is important for a practicing hospitalist to have a high index of suspicion for these atypical AMI patients.

CONCLUSION

Although alcohol‐related diagnoses are less commonly documented in AMI patients relative to other admission diagnoses, results of this study suggest that they independently predict in‐hospital mortality. More research is needed to definitively measure the risk of such death attributable to alcohol and determine the mechanisms underlying the association.

Disclosure

Nothing to report.

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References
  1. Corrao G, Rubbiati L, Bagnardi V, Zambon A, Poikolainen K. Alcohol and coronary heart disease: a meta‐analysis. Addiction. 2000;95(10):15051523.
  2. Heidenreich PA, Trogdon JG, Khavjou OA, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933944.
  3. Mukamal KJ, Chen CM, Rao SR, Breslow RA. Alcohol consumption and cardiovascular mortality among U.S. adults, 1987 to 2002. J Am Coll Cardiol. 2010;55(13):13281335.
  4. Castelnuovo A, Costanzo S, Bagnardi V, Donati MB, Iacoviello L, Gaetano G. Alcohol dosing and total mortality in men and women: an updated meta‐analysis of 34 prospective studies. Arch Intern Med. 2006;166(22):24372445.
  5. Hvidtfeldt UA, Tolstrup JS, Jakobsen MU, et al. Alcohol intake and risk of coronary heart disease in younger, middle‐aged, and older adults. Circulation. 2010;121(14):15891597.
  6. Mukamal KJ, Maclure M, Muller JE, Mittleman MA. Binge drinking and mortality after acute myocardial infarction. Circulation. 2005;112(25):38393845.
  7. Carter MD, Lee JH, Buchanan DM, et al. Comparison of outcomes among moderate alcohol drinkers before acute myocardial infarction to effect of continued versus discontinuing alcohol intake after the infarct. Am J Cardiol. 2010;105(12):16511654.
  8. Costanzo S, Castelnuovo A, Donati MB, Iacoviello L, Gaetano G. Alcohol consumption and mortality in patients with cardiovascular disease: a meta‐analysis. J Am Coll Cardiol. 2010;55(13):13391347.
  9. Mukamal KJ, Maclure M, Muller JE, Sherwood JB, Mittleman MA. Prior alcohol consumption and mortality following acute myocardial infarction. JAMA. 2001;285(15):19651970.
  10. Rizzuto D, Orsini N, Qiu C, Wang HX, Fratiglioni L. Lifestyle, social factors, and survival after age 75: population based study. BMJ. 2012;345:e5568.
  11. Marfella R, Cacciapuoti F, Siniscalchi M, et al. Effect of moderate red wine intake on cardiac prognosis after recent acute myocardial infarction of subjects with Type 2 diabetes mellitus. Diabet Med. 2006;23(9):974981.
  12. Koppes LL, Dekker JM, Hendriks HF, Bouter LM, Heine RJ. Meta‐analysis of the relationship between alcohol consumption and coronary heart disease and mortality in type 2 diabetic patients. Diabetologia. 2006;49(4):648652.
  13. O'Keefe JH, Bhatti SK, Bajwa A, DiNicolantonio JJ, Lavie CJ. Alcohol and cardiovascular health: the dose makes the poison…or the remedy. Mayo Clin Proc. 2014;89(3):382393.
  14. Shaper AG, Wannamethee SG. Alcohol intake and mortality in middle aged men with diagnosed coronary heart disease. Heart. 2000;83(4):394399.
  15. Arriola L, Martinez‐Camblor P, Larranaga N, et al. Alcohol intake and the risk of coronary heart disease in the Spanish EPIC cohort study. Heart. 2010;96(2):124130.
  16. Jackson R, Scragg R, Beaglehole R. Does recent alcohol consumption reduce the risk of acute myocardial infarction and coronary death in regular drinkers? Am J Epidemiol. 1992;136(7):819824.
  17. McElduff P, Dobson AJ. How much alcohol and how often? Population based case‐control study of alcohol consumption and risk of a major coronary event. BMJ. 1997;314(7088):11591164.
  18. HCUP Nationwide Inpatient Sample. Healthcare Cost and Utilization Project. Rockville, MD; Agency for Healthcare Research and Quality, 2011. Available at: http://www.hcup‐us.ahrq.gov/nisoverview.jsp.
  19. HCUP Clinical Classifications Software for Services and Procedures. Healthcare Cost and Utilization Project. Rockville, MD: Agency for Healthcare Research and Quality; 2008. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs_svcsproc/ccssvcproc.jsp. Accessed May 10th, 2014.
  20. Gordon T, Kannel WB. Drinking habits and cardiovascular disease: the Framingham Study. Am Heart J. 1983;105(4):667673.
  21. Wannamethee G, Shaper AG. Alcohol and sudden cardiac death. Br Heart J. 1992;68(5):443448.
  22. Chiuve SE, Rimm EB, Mukamal KJ, et al. Light‐to‐moderate alcohol consumption and risk of sudden cardiac death in women. Heart Rhythm. 2010;7(10):13741380.
  23. Albert CM, Manson JE, Cook NR, Ajani UA, Gaziano JM, Hennekens CH. Moderate alcohol consumption and the risk of sudden cardiac death among US male physicians. Circulation. 1999;100(9):944950.
  24. Leong DP, Smyth A, Teo KK, et al. Patterns of alcohol consumption and myocardial infarction risk: observations from 52 countries in the INTERHEART case‐control study. Circulation. 2014;130(5):390398.
  25. Mostofsky E, Bom JG, Mukamal KJ, et al. Risk of myocardial infarction immediately after alcohol consumption. Epidemiology. 2015;26(2):143150.
  26. Kozarevic D, Demirovic J, Gordon T, Kaelber CT, McGee D, Zukel WJ. Drinking habits and coronary heart disease: the Yugoslavia cardiovascular disease study. Am J Epidemiol. 1982;116(5):748758.
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Moderate alcohol consumption has been associated with lower risk of coronary heart disease death.[1, 2, 3] This benefit has been shown across all age groups, both sexes, in low‐risk patients (without prior cardiovascular disease [CVD], diabetics and even in patients with established CVD.[3, 4, 5, 6, 7, 8, 9, 10, 11, 12] The relationship between the dose of alcohol and total mortality has been depicted in many observational studies as a J‐shaped curve, attributed to a combined effect of both benefits and harms.[3, 4, 13] Unlike moderate drinking, heavy drinking and particularly binge drinking may have net negative cardiovascular effects. For example, higher levels of intake of alcohol were associated with increased mortality in men with previous myocardial infarction,[14] whereas some reports suggest a continued beneficial association with acute myocardial infarction (AMI).[15, 16, 17] In other studies, the association between AMI and binge or chronic heavy drinking is inconsistent or lacks enough power to report the risk/benefit estimates.[3] Data are sparse on the effects of alcoholism on outcomes in patients hospitalized due to an AMI. Therefore, we sought to investigate the prevalence and association of alcohol‐related diagnoses with in‐hospital mortality in patients presenting with AMI in the United States.

METHODS

This study was a cross‐sectional analysis of the 2011 Nationwide Inpatient Sample (NIS). The NIS is a publicly available deidentified database of hospital discharges in the United States.[18] It contains data from approximately 8 million hospital stays that were selected using a complex probability sampling design and weighting scheme intended to represent all discharges from nonfederal hospitals in the United States. Each record includes 1 primary diagnosis and up to 24 secondary diagnoses.

Analysis was conducted for all patients aged 21 years and greater with a primary discharge diagnosis of AMI based on International Classification of Diseases, 9th Revision (ICD‐9) codes. ST‐elevation myocardial infarction (STEMI) and nonST‐elevation myocardial infarction (NSTEMI) were recorded when the principal diagnosis included the appropriate ICD‐9 codes (see Supporting Table 1 in the online version of this article). Alcohol‐related diagnosis was categorized as the presence of alcohol use disorders or other chronic conditions caused by heavy drinking such as alcoholic cardiomyopathy and alcoholic liver disease among others. Variables reflecting acute effects and chronic effects of alcohol use were created for analytic purposes. Acute effects that increase the risk for acute withdrawal syndrome and hemodynamic instability (and may thereby effect mortality) were characterized by alcohol withdrawal, acute alcoholic hepatitis, alcoholic gastritis, or acute alcohol intoxication. Chronic effects of alcohol were characterized by alcohol dependence, alcoholic polyneuropathy, alcoholic cardiomyopathy, or alcoholic liver damage other than acute hepatitis. A number of comorbidities were generated from ICD‐9 codes including smoking, chronic liver disease, peripheral vascular disease, hypertension, diabetes, renal failure, drug abuse, arrhythmia, and gastrointestinal bleeding using Clinical Classification Software codes provided by the Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality[19] (see Supporting Table 1 in the online version of this article).

The risk for alcohol‐related diagnoses in AMI patients adjusting for age and sex was estimated using all adult discharge records. All other analyses included only AMI discharges. The principal outcome measure was in‐hospital mortality. Secondary outcomes included having a cardiac procedure (diagnostic catheterization, percutaneous coronary angioplasty, or coronary bypass grafting), and length of stay.

All statistical analyses were performed using Statistical Analysis Software version 9.4 (SAS Inc., Cary, NC). Logistic regression methods appropriate for the NIS sample design were utilized to predict AMI mortality risk associated with alcohol‐related diagnoses (overall and separately for acute and chronic alcohol‐related diagnoses). Mortality risk was evaluated in all AMI discharges and again for STEMI and NSTEMI discharges. To control for factors frequently associated with alcoholism, adjustment was made for age, sex, liver disease, hypertension, diabetes, renal failure, peripheral vascular disease, arrhythmias, drug abuse, gastrointestinal bleed, and smoking. For secondary outcomes, odds ratios were calculated for having a cardiac procedure performed during the hospital admission and length of stay above the median.

RESULTS

Table 1 lists characteristics of AMI patients stratified by in‐hospital mortality. In 2011, AMI accounted for 610,963 (1.9%) of overall adult hospital admissions, with an in‐hospital mortality of 5.3%. Thirty‐two percent were STEMI admissions and 68% were NSTEMI admissions with in‐hospital mortality of 8.5% and 3.8%, respectively. Patients with alcohol‐related diagnoses comprised 18,684 (3.1%) of all AMI admissions. This prevalence was significantly lower relative to non‐AMI admissions (4.9%), even after age and sex adjustment (adjusted odds ratio [OR]: 0.7, 95% confidence interval [CI]: 0.6‐0.7, P 0.001).

Baseline Characteristics of AMI Patients
Variables AMI, In‐hospital Death AMI, Alive at Discharge P Value
  • NOTE: Values are expressed as weighted number of patient's (%) for dichotomous variables and mean for continuous variables. Abbreviations: AMI, acute myocardial infarction; NSTEMI, NonST‐elevation myocardial infarction; SD, standard deviation; STEMI, ST‐elevation myocardial infarction.

No. 32,399 (5.3) 578,564 (94.7) 0.0001
Age, y (SD) 76 (7577) 67 (6668)
Sex
Males 17,483 (54) 352,943 (61) 0.0001
Females 14,916 (46) 225,621 (39) 0.0001
Race
White 22,517 (70) 387,816 (67) 0.0001
Black 2,580 (7.9) 56,735 (9.8) 0.0001
Hispanic 2,002 (6.1) 41,399 (7.2) 0.0001
Asian 685 (2) 11,160 (1.9) 0.0001
Native American 146 (0.3) 2,240 (0.4) 0.0001
Others 991 (3) 17,711 (3.2) 0.0001
Unspecified 3,478 (10.7) 61,503 (10.5) 0.0001
STEMI 16,437 (50.7) 177,240 (30.6) 0.0001
NSTEMI 15,962 (49.3) 401,324 (69.4) 0.0001
Alcohol diagnoses
Acute drinking 110 (0.3) 2,615 (0.5) 0.1389
Chronic drinking 816 (2.5) 15,143 (2.6) 0.2473
Comorbidities
Diabetes mellitus 11,497 (35.5) 211,321 (36.5) 0.5963
Hypertension 20,068 (61.9) 411,853 (71.2) 0.0001
Peripheral vascular disease 4,962 (15.3) 70,024 (12.1) 0.0001
Renal failure 9,929 (30.6) 113,714 (19.7) 0.0001
Drug abuse 330 (1.0) 13,263 (2.3) 0.0001
Arrhythmias 14,977 (46.2) 167,286 (28.9) 0.0001
Liver disease 442 (1.4) 6,493 (1.1) 0.0753
Smoking history 6,736 (20.8) 210,205 (36.3) 0.0001
Gastrointestinal bleed 1,982 (6.1) 12,086 (2.1) 0.0001

Table 2 lists the characteristics of AMI patients stratified by alcohol status. Patients with alcohol‐related disorders presenting with AMI were younger, overwhelmingly male, and had a higher prevalence of the following comorbid conditions: drug abuse, liver disease, gastrointestinal bleeding, and smoking history. They had a lower prevalence of diabetes, hypertension, and renal failure.

Acute Myocardial Infarction Patient Characteristics With and Without Alcohol‐Related Diagnoses
Variables Alcohol‐Related Diagnoses No Alcohol‐Related Diagnoses P Value
  • NOTE: Values are expressed as weighted number of patient's (%) for dichotomous variables and mean for continuous variables. Abbreviations: NSTEMI, nonST‐elevation myocardial infarction; STEMI, ST‐elevation myocardial infarction.

No. 18,684 (3.1) 592,279 (96.9) 0.0001
Age, y, mean 59 (5860) 68 (6769) 0.0001
Sex
Males 16,315 (87.3) 354,051 (59.8) 0.0001
Females 2,369 (12.7) 238,228 (40.2) 0.0001
Race
White 11,917 (63.8) 398,766 (67.2) 0.0001
Black 2,613 (13.9) 56,723 (9.6) 0.0001
Hispanic 1,400 (7.5) 42,052 (7.1) 0.0001
Asian 125 (0.7) 11,724 (1.9) 0.0001
Native American 165 (0.9) 2,221 (0.4) 0.0001
Others 570 (2.9) 18,139 (3.2) 0.0001
Unspecified 1,894 (10.1) 62,654 (10.6) 0.0001
STEMI 6,541 (35.1) 187,136 (31.2) 0.0001
NSTEMI 12,143 (64.9) 405,143 (68.8) 0.0001
Died 881 (4.7) 31,518 (5.3) 0.1312
Comorbidities
Diabetes mellitus 4,663 (24.9) 218,446 (36.8) 0.0001
Hypertension 12,501 (66.8) 420,001 (70.8) 0.0001
Peripheral vascular disease 2,269 (12.1) 72,773 (12.3) 0.7987
Renal failure 1,937 (10.4) 121,925 (20.6) 0.0001
Drug abuse 2,894 (15.5) 10,708 (1.8) 0.0001
Arrhythmias 5,476 (29.3) 177,088 (29.9) 0.4076
Liver disease 887 (4.7) 6,053 (1.0) 0.0001
Smoking history 12,771 (68.3) 204,390 (34.5) 0.0001
Gastrointestinal bleed 730 (3.9) 13,347 (2.3) 0.0001

Among AMI patients, unadjusted in‐hospital mortality was observed to be similar in the alcohol use disorder group (4.7% vs 5.3%, P = 0.131), STEMI hospitalizations (7.9% vs 8.5%, P = 0.475), and lower in NSTEMI hospitalizations (3% vs 3.9%, P = 0.035). However, as shown in Table 2, there were a number of factors that may have influenced death in AMI patients that differed between those with and without alcohol diagnoses. Table 3 shows the adjusted risk for death and each secondary outcome. After adjusting for factors associated with alcoholism, including age, sex, liver disease, hypertension, diabetes, renal failure, drug abuse, gastrointestinal bleed, and smoking, alcohol‐related diagnoses were associated with increased mortality in AMI hospitalizations (adjusted OR: 1.5, 95% CI: 1.2‐1.7, P 0.001). Contrary to our expectations, however, acute alcohol‐related diagnoses were not independently associated with mortality. The association with alcohol‐related diagnoses was significant in both STEMI (adjusted OR: 1.7, 95% CI: 1.4‐2.2, P 0.001) and NSTEMI patients (adjusted OR: 1.3, 95% CI: 1.0‐1.7, P = 0.025).

Multivariate Regression Analysis Predicting Odds of Mortality, Increased Length of Stay, and Cardiac Procedures
Adjusted Odds Ratio* 95% Confidence Intervals P Value
  • NOTE: Abbreviations: AMI, Acute myocardial infarction; CABG, coronary artery by‐pass grafting; NSTEMI, nonST‐elevation myocardial infarction; STEMI, ST‐elevation myocardial infarction. *Adjusted for age, sex, hypertension, diabetes, liver disease, renal failure, gastrointestinal bleeding, drug abuse, and smoking. Acute effects of alcohol characterized by alcohol withdrawal, acute alcoholic hepatitis, alcoholic gastritis, or acute alcohol intoxication. Chronic effects of alcohol characterized by alcohol dependence, alcoholic polyneuropathy, alcoholic cardiomyopathy, or alcoholic liver damage.

Primary outcome: death
AMI
Alcohol diagnoses 1.5 1.21.7 0.001
Acute alcohol diagnoses 1.0 0.71.5 0.886
Chronic alcohol diagnoses 1.5 1.21.8 0.001
STEMI
Alcohol diagnoses 1.7 1.42.2 0.001
Acute alcohol diagnoses 1.1 0.61.9 0.835
Chronic alcohol diagnoses 1.6 1.22.1 0.001
NSTEMI
Alcohol diagnoses 1.3 1.01.7 0.025
Acute alcohol diagnoses 1.2 0.72.1 0.581
Chronic alcohol diagnoses 1.4 1.11.9 0.022
Secondary outcomes
AMI
Length of stay 1.5 1.31.6 0.001
All cardiac procedures 0.6 0.60.7 0.001
CABG 1.2 1.01.3 0.008
Angioplasty 0.6 0.60.7 0.001
Diagnostic angiogram 0.7 0.60.8 0.001
STEMI
Length of stay 1.2 1.11.4 0.001
All cardiac procedures 0.6 0.50.7 0.001
CABG 1.2 0.91.5 0.125
Angioplasty 0.6 0.50.7 0.001
Diagnostic angiogram 0.7 0.60.9 0.001
NSTEMI
Length of stay 1.6 1.51.8 0.001
All cardiac procedures 0.7 0.60.8 0.001
CABG 1.1 0.91.5 0.125
Angioplasty 0.6 0.60.7 0.001
Diagnostic angiogram 0.7 0.60.8 0.001

Regarding secondary outcomes, alcohol‐related diagnoses were associated with an increased length of stay, fewer diagnostic catheterizations and angioplasties, but higher coronary artery bypass grafting (CABG) procedures (Table 3).

DISCUSSION

In this analysis of AMI discharges, a modestly increased risk of in‐hospital mortality was found for patients with alcohol‐related diagnoses, although AMI patients were less likely to have a diagnosis related to alcohol. This increased risk of in‐hospital mortality was present in both STEMI and NSTEMI patients with alcohol‐related diagnoses, and was present in patients with chronic alcohol‐related diagnoses but not with withdrawal or intoxication. In addition to mortality differences, AMI patients with alcohol‐related diagnoses had a higher length of stay, but were less likely to have a cardiac procedure.

The association of alcohol‐related diagnoses with cardiovascular outcomes is not as well defined as the beneficial association between coronary heart disease and moderate alcohol use. Heavy drinking has been associated with greater risk of sudden cardiac death in subjects with preexisting coronary heart disease.[20, 21] Data from the Nurses Health Study demonstrated a U‐shaped curve between alcohol use and sudden cardiac death, but with limited power for assessing heavy drinking patterns.[22] In the Physicians Health Study, there was no significant increase in the risk of sudden cardiac death in men with higher intake of alcohol (2 drinks/day), but again with limited power for evaluating truly heavy drinking.[23] More recently, as shown by Mukamal et al., there was a trend toward higher overall cardiovascular deaths (OR: 1.07, 95% CI: 0.94‐1.22) but lower coronary heart disease mortality (OR: 0.80, 95% CI: 0.61‐1.05) in heavy drinkers, but results were not statistically significant even after adjusting for age, sex, and race.[3] One study demonstrated that heavy episodic drinking within the preceding 24 hours was associated with an increased risk of myocardial infarction (OR: 1.4, 95% confidence interval: 1.1‐1.9), particularly in the elderly (>65 years old) (OR: 5.3, 95% CI: 1.6‐18),[24] but the study did not consider mortality. The more recent study done by Mostofsky et al. has shown higher incidence of AMI onset within 1 hour after alcohol consumption among people who are not daily drinkers,[25] but the study did not consider mortality outcomes.

As an extension of knowledge regarding the association of alcohol‐related diagnoses with cardiovascular outcomes, we believe that our analysis of the NIS is the first to show a statistically significant positive age‐adjusted association of in‐hospital mortality with alcohol‐related diagnoses in AMI patients. Episodic or binge drinking has been noted to have proarrhythmogenic effects leading to sudden cardiac death.[26] This would often occur prior to hospitalization, but once hospitalized the presence of rhythm abnormalities was not associated with alcohol diagnoses. Alcohol effects might also be expected to lead to increased AMI mortality due to autonomic instability, gastrointestinal bleeding, or liver disease, but intoxication, withdrawal, gastrointestinal bleeding, liver disease, or comorbid tobacco or drug abuse did not account for excess alcohol‐associated AMI mortality in this study. Additional research will be required to determine the reasons underlying the increased age‐adjusted mortality.

The important strength of the present study includes the use of a large national database that allowed us to link alcohol‐related diagnoses to AMI death in the hospital, and to explore potential confounders of this association (eg, gastrointestinal bleeding, withdrawal, liver disease). However, a number of limitations merit consideration. The NIS sampling frame is limited to hospital discharges. As such, we have no data on prehospital AMI death and alcohol use pattern immediately preceding hospitalization. Similarly, we were unable to consider mortality immediately beyond the hospital discharge. Other important predictors that are not recorded in the NIS are details regarding a patient's physical activity and medications such as statins and ‐blockers that could affect survivorship in AMI patients. Another potential limitation of our analysis is the lack of differentiating between type 2 myocardial infarction, occurring from sepsis or acute kidney injury, from a true NSTEMI. However, we included only primary discharge diagnoses of AMI, and results for STEMI and NSTEMI discharges were similar. Regarding the cross‐sectional study design, we are unable to establish a cause and effect relationship between in‐hospital AMI mortality and alcohol‐related diagnoses. The NIS data were abstracted from administrative databases that may lack important details on alcohol‐related problems. In particular, it seems likely that heavy drinkers with less obvious alcohol‐related problems would be underidentified in clinical settings, and this may have biased our results toward an overestimation of the alcohol‐associated risk. Due to these limitations, AMI mortality will need to be evaluated in other samples to definitively evaluate associations with diagnoses related to heavy drinking and determine the reasons underlying the association. The increased death and CABG despite decreased angiography and angioplasty suggests that these patients presentations may be with more severe coronary heart disease, which is a question requiring further study. Finally, an alcohol user who presents with an AMI is less likely to have cardiac risk factors like diabetes, renal failure, and possibly hypertension. Rather, alcohol diagnoses in AMI patients associate with tobacco and drug abuse, liver disease, and higher age‐adjusted risk for death. It is important for a practicing hospitalist to have a high index of suspicion for these atypical AMI patients.

CONCLUSION

Although alcohol‐related diagnoses are less commonly documented in AMI patients relative to other admission diagnoses, results of this study suggest that they independently predict in‐hospital mortality. More research is needed to definitively measure the risk of such death attributable to alcohol and determine the mechanisms underlying the association.

Disclosure

Nothing to report.

Moderate alcohol consumption has been associated with lower risk of coronary heart disease death.[1, 2, 3] This benefit has been shown across all age groups, both sexes, in low‐risk patients (without prior cardiovascular disease [CVD], diabetics and even in patients with established CVD.[3, 4, 5, 6, 7, 8, 9, 10, 11, 12] The relationship between the dose of alcohol and total mortality has been depicted in many observational studies as a J‐shaped curve, attributed to a combined effect of both benefits and harms.[3, 4, 13] Unlike moderate drinking, heavy drinking and particularly binge drinking may have net negative cardiovascular effects. For example, higher levels of intake of alcohol were associated with increased mortality in men with previous myocardial infarction,[14] whereas some reports suggest a continued beneficial association with acute myocardial infarction (AMI).[15, 16, 17] In other studies, the association between AMI and binge or chronic heavy drinking is inconsistent or lacks enough power to report the risk/benefit estimates.[3] Data are sparse on the effects of alcoholism on outcomes in patients hospitalized due to an AMI. Therefore, we sought to investigate the prevalence and association of alcohol‐related diagnoses with in‐hospital mortality in patients presenting with AMI in the United States.

METHODS

This study was a cross‐sectional analysis of the 2011 Nationwide Inpatient Sample (NIS). The NIS is a publicly available deidentified database of hospital discharges in the United States.[18] It contains data from approximately 8 million hospital stays that were selected using a complex probability sampling design and weighting scheme intended to represent all discharges from nonfederal hospitals in the United States. Each record includes 1 primary diagnosis and up to 24 secondary diagnoses.

Analysis was conducted for all patients aged 21 years and greater with a primary discharge diagnosis of AMI based on International Classification of Diseases, 9th Revision (ICD‐9) codes. ST‐elevation myocardial infarction (STEMI) and nonST‐elevation myocardial infarction (NSTEMI) were recorded when the principal diagnosis included the appropriate ICD‐9 codes (see Supporting Table 1 in the online version of this article). Alcohol‐related diagnosis was categorized as the presence of alcohol use disorders or other chronic conditions caused by heavy drinking such as alcoholic cardiomyopathy and alcoholic liver disease among others. Variables reflecting acute effects and chronic effects of alcohol use were created for analytic purposes. Acute effects that increase the risk for acute withdrawal syndrome and hemodynamic instability (and may thereby effect mortality) were characterized by alcohol withdrawal, acute alcoholic hepatitis, alcoholic gastritis, or acute alcohol intoxication. Chronic effects of alcohol were characterized by alcohol dependence, alcoholic polyneuropathy, alcoholic cardiomyopathy, or alcoholic liver damage other than acute hepatitis. A number of comorbidities were generated from ICD‐9 codes including smoking, chronic liver disease, peripheral vascular disease, hypertension, diabetes, renal failure, drug abuse, arrhythmia, and gastrointestinal bleeding using Clinical Classification Software codes provided by the Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality[19] (see Supporting Table 1 in the online version of this article).

The risk for alcohol‐related diagnoses in AMI patients adjusting for age and sex was estimated using all adult discharge records. All other analyses included only AMI discharges. The principal outcome measure was in‐hospital mortality. Secondary outcomes included having a cardiac procedure (diagnostic catheterization, percutaneous coronary angioplasty, or coronary bypass grafting), and length of stay.

All statistical analyses were performed using Statistical Analysis Software version 9.4 (SAS Inc., Cary, NC). Logistic regression methods appropriate for the NIS sample design were utilized to predict AMI mortality risk associated with alcohol‐related diagnoses (overall and separately for acute and chronic alcohol‐related diagnoses). Mortality risk was evaluated in all AMI discharges and again for STEMI and NSTEMI discharges. To control for factors frequently associated with alcoholism, adjustment was made for age, sex, liver disease, hypertension, diabetes, renal failure, peripheral vascular disease, arrhythmias, drug abuse, gastrointestinal bleed, and smoking. For secondary outcomes, odds ratios were calculated for having a cardiac procedure performed during the hospital admission and length of stay above the median.

RESULTS

Table 1 lists characteristics of AMI patients stratified by in‐hospital mortality. In 2011, AMI accounted for 610,963 (1.9%) of overall adult hospital admissions, with an in‐hospital mortality of 5.3%. Thirty‐two percent were STEMI admissions and 68% were NSTEMI admissions with in‐hospital mortality of 8.5% and 3.8%, respectively. Patients with alcohol‐related diagnoses comprised 18,684 (3.1%) of all AMI admissions. This prevalence was significantly lower relative to non‐AMI admissions (4.9%), even after age and sex adjustment (adjusted odds ratio [OR]: 0.7, 95% confidence interval [CI]: 0.6‐0.7, P 0.001).

Baseline Characteristics of AMI Patients
Variables AMI, In‐hospital Death AMI, Alive at Discharge P Value
  • NOTE: Values are expressed as weighted number of patient's (%) for dichotomous variables and mean for continuous variables. Abbreviations: AMI, acute myocardial infarction; NSTEMI, NonST‐elevation myocardial infarction; SD, standard deviation; STEMI, ST‐elevation myocardial infarction.

No. 32,399 (5.3) 578,564 (94.7) 0.0001
Age, y (SD) 76 (7577) 67 (6668)
Sex
Males 17,483 (54) 352,943 (61) 0.0001
Females 14,916 (46) 225,621 (39) 0.0001
Race
White 22,517 (70) 387,816 (67) 0.0001
Black 2,580 (7.9) 56,735 (9.8) 0.0001
Hispanic 2,002 (6.1) 41,399 (7.2) 0.0001
Asian 685 (2) 11,160 (1.9) 0.0001
Native American 146 (0.3) 2,240 (0.4) 0.0001
Others 991 (3) 17,711 (3.2) 0.0001
Unspecified 3,478 (10.7) 61,503 (10.5) 0.0001
STEMI 16,437 (50.7) 177,240 (30.6) 0.0001
NSTEMI 15,962 (49.3) 401,324 (69.4) 0.0001
Alcohol diagnoses
Acute drinking 110 (0.3) 2,615 (0.5) 0.1389
Chronic drinking 816 (2.5) 15,143 (2.6) 0.2473
Comorbidities
Diabetes mellitus 11,497 (35.5) 211,321 (36.5) 0.5963
Hypertension 20,068 (61.9) 411,853 (71.2) 0.0001
Peripheral vascular disease 4,962 (15.3) 70,024 (12.1) 0.0001
Renal failure 9,929 (30.6) 113,714 (19.7) 0.0001
Drug abuse 330 (1.0) 13,263 (2.3) 0.0001
Arrhythmias 14,977 (46.2) 167,286 (28.9) 0.0001
Liver disease 442 (1.4) 6,493 (1.1) 0.0753
Smoking history 6,736 (20.8) 210,205 (36.3) 0.0001
Gastrointestinal bleed 1,982 (6.1) 12,086 (2.1) 0.0001

Table 2 lists the characteristics of AMI patients stratified by alcohol status. Patients with alcohol‐related disorders presenting with AMI were younger, overwhelmingly male, and had a higher prevalence of the following comorbid conditions: drug abuse, liver disease, gastrointestinal bleeding, and smoking history. They had a lower prevalence of diabetes, hypertension, and renal failure.

Acute Myocardial Infarction Patient Characteristics With and Without Alcohol‐Related Diagnoses
Variables Alcohol‐Related Diagnoses No Alcohol‐Related Diagnoses P Value
  • NOTE: Values are expressed as weighted number of patient's (%) for dichotomous variables and mean for continuous variables. Abbreviations: NSTEMI, nonST‐elevation myocardial infarction; STEMI, ST‐elevation myocardial infarction.

No. 18,684 (3.1) 592,279 (96.9) 0.0001
Age, y, mean 59 (5860) 68 (6769) 0.0001
Sex
Males 16,315 (87.3) 354,051 (59.8) 0.0001
Females 2,369 (12.7) 238,228 (40.2) 0.0001
Race
White 11,917 (63.8) 398,766 (67.2) 0.0001
Black 2,613 (13.9) 56,723 (9.6) 0.0001
Hispanic 1,400 (7.5) 42,052 (7.1) 0.0001
Asian 125 (0.7) 11,724 (1.9) 0.0001
Native American 165 (0.9) 2,221 (0.4) 0.0001
Others 570 (2.9) 18,139 (3.2) 0.0001
Unspecified 1,894 (10.1) 62,654 (10.6) 0.0001
STEMI 6,541 (35.1) 187,136 (31.2) 0.0001
NSTEMI 12,143 (64.9) 405,143 (68.8) 0.0001
Died 881 (4.7) 31,518 (5.3) 0.1312
Comorbidities
Diabetes mellitus 4,663 (24.9) 218,446 (36.8) 0.0001
Hypertension 12,501 (66.8) 420,001 (70.8) 0.0001
Peripheral vascular disease 2,269 (12.1) 72,773 (12.3) 0.7987
Renal failure 1,937 (10.4) 121,925 (20.6) 0.0001
Drug abuse 2,894 (15.5) 10,708 (1.8) 0.0001
Arrhythmias 5,476 (29.3) 177,088 (29.9) 0.4076
Liver disease 887 (4.7) 6,053 (1.0) 0.0001
Smoking history 12,771 (68.3) 204,390 (34.5) 0.0001
Gastrointestinal bleed 730 (3.9) 13,347 (2.3) 0.0001

Among AMI patients, unadjusted in‐hospital mortality was observed to be similar in the alcohol use disorder group (4.7% vs 5.3%, P = 0.131), STEMI hospitalizations (7.9% vs 8.5%, P = 0.475), and lower in NSTEMI hospitalizations (3% vs 3.9%, P = 0.035). However, as shown in Table 2, there were a number of factors that may have influenced death in AMI patients that differed between those with and without alcohol diagnoses. Table 3 shows the adjusted risk for death and each secondary outcome. After adjusting for factors associated with alcoholism, including age, sex, liver disease, hypertension, diabetes, renal failure, drug abuse, gastrointestinal bleed, and smoking, alcohol‐related diagnoses were associated with increased mortality in AMI hospitalizations (adjusted OR: 1.5, 95% CI: 1.2‐1.7, P 0.001). Contrary to our expectations, however, acute alcohol‐related diagnoses were not independently associated with mortality. The association with alcohol‐related diagnoses was significant in both STEMI (adjusted OR: 1.7, 95% CI: 1.4‐2.2, P 0.001) and NSTEMI patients (adjusted OR: 1.3, 95% CI: 1.0‐1.7, P = 0.025).

Multivariate Regression Analysis Predicting Odds of Mortality, Increased Length of Stay, and Cardiac Procedures
Adjusted Odds Ratio* 95% Confidence Intervals P Value
  • NOTE: Abbreviations: AMI, Acute myocardial infarction; CABG, coronary artery by‐pass grafting; NSTEMI, nonST‐elevation myocardial infarction; STEMI, ST‐elevation myocardial infarction. *Adjusted for age, sex, hypertension, diabetes, liver disease, renal failure, gastrointestinal bleeding, drug abuse, and smoking. Acute effects of alcohol characterized by alcohol withdrawal, acute alcoholic hepatitis, alcoholic gastritis, or acute alcohol intoxication. Chronic effects of alcohol characterized by alcohol dependence, alcoholic polyneuropathy, alcoholic cardiomyopathy, or alcoholic liver damage.

Primary outcome: death
AMI
Alcohol diagnoses 1.5 1.21.7 0.001
Acute alcohol diagnoses 1.0 0.71.5 0.886
Chronic alcohol diagnoses 1.5 1.21.8 0.001
STEMI
Alcohol diagnoses 1.7 1.42.2 0.001
Acute alcohol diagnoses 1.1 0.61.9 0.835
Chronic alcohol diagnoses 1.6 1.22.1 0.001
NSTEMI
Alcohol diagnoses 1.3 1.01.7 0.025
Acute alcohol diagnoses 1.2 0.72.1 0.581
Chronic alcohol diagnoses 1.4 1.11.9 0.022
Secondary outcomes
AMI
Length of stay 1.5 1.31.6 0.001
All cardiac procedures 0.6 0.60.7 0.001
CABG 1.2 1.01.3 0.008
Angioplasty 0.6 0.60.7 0.001
Diagnostic angiogram 0.7 0.60.8 0.001
STEMI
Length of stay 1.2 1.11.4 0.001
All cardiac procedures 0.6 0.50.7 0.001
CABG 1.2 0.91.5 0.125
Angioplasty 0.6 0.50.7 0.001
Diagnostic angiogram 0.7 0.60.9 0.001
NSTEMI
Length of stay 1.6 1.51.8 0.001
All cardiac procedures 0.7 0.60.8 0.001
CABG 1.1 0.91.5 0.125
Angioplasty 0.6 0.60.7 0.001
Diagnostic angiogram 0.7 0.60.8 0.001

Regarding secondary outcomes, alcohol‐related diagnoses were associated with an increased length of stay, fewer diagnostic catheterizations and angioplasties, but higher coronary artery bypass grafting (CABG) procedures (Table 3).

DISCUSSION

In this analysis of AMI discharges, a modestly increased risk of in‐hospital mortality was found for patients with alcohol‐related diagnoses, although AMI patients were less likely to have a diagnosis related to alcohol. This increased risk of in‐hospital mortality was present in both STEMI and NSTEMI patients with alcohol‐related diagnoses, and was present in patients with chronic alcohol‐related diagnoses but not with withdrawal or intoxication. In addition to mortality differences, AMI patients with alcohol‐related diagnoses had a higher length of stay, but were less likely to have a cardiac procedure.

The association of alcohol‐related diagnoses with cardiovascular outcomes is not as well defined as the beneficial association between coronary heart disease and moderate alcohol use. Heavy drinking has been associated with greater risk of sudden cardiac death in subjects with preexisting coronary heart disease.[20, 21] Data from the Nurses Health Study demonstrated a U‐shaped curve between alcohol use and sudden cardiac death, but with limited power for assessing heavy drinking patterns.[22] In the Physicians Health Study, there was no significant increase in the risk of sudden cardiac death in men with higher intake of alcohol (2 drinks/day), but again with limited power for evaluating truly heavy drinking.[23] More recently, as shown by Mukamal et al., there was a trend toward higher overall cardiovascular deaths (OR: 1.07, 95% CI: 0.94‐1.22) but lower coronary heart disease mortality (OR: 0.80, 95% CI: 0.61‐1.05) in heavy drinkers, but results were not statistically significant even after adjusting for age, sex, and race.[3] One study demonstrated that heavy episodic drinking within the preceding 24 hours was associated with an increased risk of myocardial infarction (OR: 1.4, 95% confidence interval: 1.1‐1.9), particularly in the elderly (>65 years old) (OR: 5.3, 95% CI: 1.6‐18),[24] but the study did not consider mortality. The more recent study done by Mostofsky et al. has shown higher incidence of AMI onset within 1 hour after alcohol consumption among people who are not daily drinkers,[25] but the study did not consider mortality outcomes.

As an extension of knowledge regarding the association of alcohol‐related diagnoses with cardiovascular outcomes, we believe that our analysis of the NIS is the first to show a statistically significant positive age‐adjusted association of in‐hospital mortality with alcohol‐related diagnoses in AMI patients. Episodic or binge drinking has been noted to have proarrhythmogenic effects leading to sudden cardiac death.[26] This would often occur prior to hospitalization, but once hospitalized the presence of rhythm abnormalities was not associated with alcohol diagnoses. Alcohol effects might also be expected to lead to increased AMI mortality due to autonomic instability, gastrointestinal bleeding, or liver disease, but intoxication, withdrawal, gastrointestinal bleeding, liver disease, or comorbid tobacco or drug abuse did not account for excess alcohol‐associated AMI mortality in this study. Additional research will be required to determine the reasons underlying the increased age‐adjusted mortality.

The important strength of the present study includes the use of a large national database that allowed us to link alcohol‐related diagnoses to AMI death in the hospital, and to explore potential confounders of this association (eg, gastrointestinal bleeding, withdrawal, liver disease). However, a number of limitations merit consideration. The NIS sampling frame is limited to hospital discharges. As such, we have no data on prehospital AMI death and alcohol use pattern immediately preceding hospitalization. Similarly, we were unable to consider mortality immediately beyond the hospital discharge. Other important predictors that are not recorded in the NIS are details regarding a patient's physical activity and medications such as statins and ‐blockers that could affect survivorship in AMI patients. Another potential limitation of our analysis is the lack of differentiating between type 2 myocardial infarction, occurring from sepsis or acute kidney injury, from a true NSTEMI. However, we included only primary discharge diagnoses of AMI, and results for STEMI and NSTEMI discharges were similar. Regarding the cross‐sectional study design, we are unable to establish a cause and effect relationship between in‐hospital AMI mortality and alcohol‐related diagnoses. The NIS data were abstracted from administrative databases that may lack important details on alcohol‐related problems. In particular, it seems likely that heavy drinkers with less obvious alcohol‐related problems would be underidentified in clinical settings, and this may have biased our results toward an overestimation of the alcohol‐associated risk. Due to these limitations, AMI mortality will need to be evaluated in other samples to definitively evaluate associations with diagnoses related to heavy drinking and determine the reasons underlying the association. The increased death and CABG despite decreased angiography and angioplasty suggests that these patients presentations may be with more severe coronary heart disease, which is a question requiring further study. Finally, an alcohol user who presents with an AMI is less likely to have cardiac risk factors like diabetes, renal failure, and possibly hypertension. Rather, alcohol diagnoses in AMI patients associate with tobacco and drug abuse, liver disease, and higher age‐adjusted risk for death. It is important for a practicing hospitalist to have a high index of suspicion for these atypical AMI patients.

CONCLUSION

Although alcohol‐related diagnoses are less commonly documented in AMI patients relative to other admission diagnoses, results of this study suggest that they independently predict in‐hospital mortality. More research is needed to definitively measure the risk of such death attributable to alcohol and determine the mechanisms underlying the association.

Disclosure

Nothing to report.

References
  1. Corrao G, Rubbiati L, Bagnardi V, Zambon A, Poikolainen K. Alcohol and coronary heart disease: a meta‐analysis. Addiction. 2000;95(10):15051523.
  2. Heidenreich PA, Trogdon JG, Khavjou OA, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933944.
  3. Mukamal KJ, Chen CM, Rao SR, Breslow RA. Alcohol consumption and cardiovascular mortality among U.S. adults, 1987 to 2002. J Am Coll Cardiol. 2010;55(13):13281335.
  4. Castelnuovo A, Costanzo S, Bagnardi V, Donati MB, Iacoviello L, Gaetano G. Alcohol dosing and total mortality in men and women: an updated meta‐analysis of 34 prospective studies. Arch Intern Med. 2006;166(22):24372445.
  5. Hvidtfeldt UA, Tolstrup JS, Jakobsen MU, et al. Alcohol intake and risk of coronary heart disease in younger, middle‐aged, and older adults. Circulation. 2010;121(14):15891597.
  6. Mukamal KJ, Maclure M, Muller JE, Mittleman MA. Binge drinking and mortality after acute myocardial infarction. Circulation. 2005;112(25):38393845.
  7. Carter MD, Lee JH, Buchanan DM, et al. Comparison of outcomes among moderate alcohol drinkers before acute myocardial infarction to effect of continued versus discontinuing alcohol intake after the infarct. Am J Cardiol. 2010;105(12):16511654.
  8. Costanzo S, Castelnuovo A, Donati MB, Iacoviello L, Gaetano G. Alcohol consumption and mortality in patients with cardiovascular disease: a meta‐analysis. J Am Coll Cardiol. 2010;55(13):13391347.
  9. Mukamal KJ, Maclure M, Muller JE, Sherwood JB, Mittleman MA. Prior alcohol consumption and mortality following acute myocardial infarction. JAMA. 2001;285(15):19651970.
  10. Rizzuto D, Orsini N, Qiu C, Wang HX, Fratiglioni L. Lifestyle, social factors, and survival after age 75: population based study. BMJ. 2012;345:e5568.
  11. Marfella R, Cacciapuoti F, Siniscalchi M, et al. Effect of moderate red wine intake on cardiac prognosis after recent acute myocardial infarction of subjects with Type 2 diabetes mellitus. Diabet Med. 2006;23(9):974981.
  12. Koppes LL, Dekker JM, Hendriks HF, Bouter LM, Heine RJ. Meta‐analysis of the relationship between alcohol consumption and coronary heart disease and mortality in type 2 diabetic patients. Diabetologia. 2006;49(4):648652.
  13. O'Keefe JH, Bhatti SK, Bajwa A, DiNicolantonio JJ, Lavie CJ. Alcohol and cardiovascular health: the dose makes the poison…or the remedy. Mayo Clin Proc. 2014;89(3):382393.
  14. Shaper AG, Wannamethee SG. Alcohol intake and mortality in middle aged men with diagnosed coronary heart disease. Heart. 2000;83(4):394399.
  15. Arriola L, Martinez‐Camblor P, Larranaga N, et al. Alcohol intake and the risk of coronary heart disease in the Spanish EPIC cohort study. Heart. 2010;96(2):124130.
  16. Jackson R, Scragg R, Beaglehole R. Does recent alcohol consumption reduce the risk of acute myocardial infarction and coronary death in regular drinkers? Am J Epidemiol. 1992;136(7):819824.
  17. McElduff P, Dobson AJ. How much alcohol and how often? Population based case‐control study of alcohol consumption and risk of a major coronary event. BMJ. 1997;314(7088):11591164.
  18. HCUP Nationwide Inpatient Sample. Healthcare Cost and Utilization Project. Rockville, MD; Agency for Healthcare Research and Quality, 2011. Available at: http://www.hcup‐us.ahrq.gov/nisoverview.jsp.
  19. HCUP Clinical Classifications Software for Services and Procedures. Healthcare Cost and Utilization Project. Rockville, MD: Agency for Healthcare Research and Quality; 2008. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs_svcsproc/ccssvcproc.jsp. Accessed May 10th, 2014.
  20. Gordon T, Kannel WB. Drinking habits and cardiovascular disease: the Framingham Study. Am Heart J. 1983;105(4):667673.
  21. Wannamethee G, Shaper AG. Alcohol and sudden cardiac death. Br Heart J. 1992;68(5):443448.
  22. Chiuve SE, Rimm EB, Mukamal KJ, et al. Light‐to‐moderate alcohol consumption and risk of sudden cardiac death in women. Heart Rhythm. 2010;7(10):13741380.
  23. Albert CM, Manson JE, Cook NR, Ajani UA, Gaziano JM, Hennekens CH. Moderate alcohol consumption and the risk of sudden cardiac death among US male physicians. Circulation. 1999;100(9):944950.
  24. Leong DP, Smyth A, Teo KK, et al. Patterns of alcohol consumption and myocardial infarction risk: observations from 52 countries in the INTERHEART case‐control study. Circulation. 2014;130(5):390398.
  25. Mostofsky E, Bom JG, Mukamal KJ, et al. Risk of myocardial infarction immediately after alcohol consumption. Epidemiology. 2015;26(2):143150.
  26. Kozarevic D, Demirovic J, Gordon T, Kaelber CT, McGee D, Zukel WJ. Drinking habits and coronary heart disease: the Yugoslavia cardiovascular disease study. Am J Epidemiol. 1982;116(5):748758.
References
  1. Corrao G, Rubbiati L, Bagnardi V, Zambon A, Poikolainen K. Alcohol and coronary heart disease: a meta‐analysis. Addiction. 2000;95(10):15051523.
  2. Heidenreich PA, Trogdon JG, Khavjou OA, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933944.
  3. Mukamal KJ, Chen CM, Rao SR, Breslow RA. Alcohol consumption and cardiovascular mortality among U.S. adults, 1987 to 2002. J Am Coll Cardiol. 2010;55(13):13281335.
  4. Castelnuovo A, Costanzo S, Bagnardi V, Donati MB, Iacoviello L, Gaetano G. Alcohol dosing and total mortality in men and women: an updated meta‐analysis of 34 prospective studies. Arch Intern Med. 2006;166(22):24372445.
  5. Hvidtfeldt UA, Tolstrup JS, Jakobsen MU, et al. Alcohol intake and risk of coronary heart disease in younger, middle‐aged, and older adults. Circulation. 2010;121(14):15891597.
  6. Mukamal KJ, Maclure M, Muller JE, Mittleman MA. Binge drinking and mortality after acute myocardial infarction. Circulation. 2005;112(25):38393845.
  7. Carter MD, Lee JH, Buchanan DM, et al. Comparison of outcomes among moderate alcohol drinkers before acute myocardial infarction to effect of continued versus discontinuing alcohol intake after the infarct. Am J Cardiol. 2010;105(12):16511654.
  8. Costanzo S, Castelnuovo A, Donati MB, Iacoviello L, Gaetano G. Alcohol consumption and mortality in patients with cardiovascular disease: a meta‐analysis. J Am Coll Cardiol. 2010;55(13):13391347.
  9. Mukamal KJ, Maclure M, Muller JE, Sherwood JB, Mittleman MA. Prior alcohol consumption and mortality following acute myocardial infarction. JAMA. 2001;285(15):19651970.
  10. Rizzuto D, Orsini N, Qiu C, Wang HX, Fratiglioni L. Lifestyle, social factors, and survival after age 75: population based study. BMJ. 2012;345:e5568.
  11. Marfella R, Cacciapuoti F, Siniscalchi M, et al. Effect of moderate red wine intake on cardiac prognosis after recent acute myocardial infarction of subjects with Type 2 diabetes mellitus. Diabet Med. 2006;23(9):974981.
  12. Koppes LL, Dekker JM, Hendriks HF, Bouter LM, Heine RJ. Meta‐analysis of the relationship between alcohol consumption and coronary heart disease and mortality in type 2 diabetic patients. Diabetologia. 2006;49(4):648652.
  13. O'Keefe JH, Bhatti SK, Bajwa A, DiNicolantonio JJ, Lavie CJ. Alcohol and cardiovascular health: the dose makes the poison…or the remedy. Mayo Clin Proc. 2014;89(3):382393.
  14. Shaper AG, Wannamethee SG. Alcohol intake and mortality in middle aged men with diagnosed coronary heart disease. Heart. 2000;83(4):394399.
  15. Arriola L, Martinez‐Camblor P, Larranaga N, et al. Alcohol intake and the risk of coronary heart disease in the Spanish EPIC cohort study. Heart. 2010;96(2):124130.
  16. Jackson R, Scragg R, Beaglehole R. Does recent alcohol consumption reduce the risk of acute myocardial infarction and coronary death in regular drinkers? Am J Epidemiol. 1992;136(7):819824.
  17. McElduff P, Dobson AJ. How much alcohol and how often? Population based case‐control study of alcohol consumption and risk of a major coronary event. BMJ. 1997;314(7088):11591164.
  18. HCUP Nationwide Inpatient Sample. Healthcare Cost and Utilization Project. Rockville, MD; Agency for Healthcare Research and Quality, 2011. Available at: http://www.hcup‐us.ahrq.gov/nisoverview.jsp.
  19. HCUP Clinical Classifications Software for Services and Procedures. Healthcare Cost and Utilization Project. Rockville, MD: Agency for Healthcare Research and Quality; 2008. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs_svcsproc/ccssvcproc.jsp. Accessed May 10th, 2014.
  20. Gordon T, Kannel WB. Drinking habits and cardiovascular disease: the Framingham Study. Am Heart J. 1983;105(4):667673.
  21. Wannamethee G, Shaper AG. Alcohol and sudden cardiac death. Br Heart J. 1992;68(5):443448.
  22. Chiuve SE, Rimm EB, Mukamal KJ, et al. Light‐to‐moderate alcohol consumption and risk of sudden cardiac death in women. Heart Rhythm. 2010;7(10):13741380.
  23. Albert CM, Manson JE, Cook NR, Ajani UA, Gaziano JM, Hennekens CH. Moderate alcohol consumption and the risk of sudden cardiac death among US male physicians. Circulation. 1999;100(9):944950.
  24. Leong DP, Smyth A, Teo KK, et al. Patterns of alcohol consumption and myocardial infarction risk: observations from 52 countries in the INTERHEART case‐control study. Circulation. 2014;130(5):390398.
  25. Mostofsky E, Bom JG, Mukamal KJ, et al. Risk of myocardial infarction immediately after alcohol consumption. Epidemiology. 2015;26(2):143150.
  26. Kozarevic D, Demirovic J, Gordon T, Kaelber CT, McGee D, Zukel WJ. Drinking habits and coronary heart disease: the Yugoslavia cardiovascular disease study. Am J Epidemiol. 1982;116(5):748758.
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Interhospital transfer handoff practices among US tertiary care centers: A descriptive survey

Transitions of care are major sources of preventable medical errors. Incomplete or inaccurate communication during handoffs is the root cause of many adverse events.[1] In a prospective study, adverse events were found to occur during interhospital transfer up to 30% of the time.[2] Furthermore, patients subject to interhospital transfer have longer length of stay and higher inpatient mortality, even after adjusting for mortality risk predictors.[3] Standardizing intrahospital handoff structures and communication practices has been shown to reduce medical errors.[4, 5, 6] Interhospital transfer is an understudied area among the transitions of care literature. Little is known about institutional variations in the process of information transfer and its association with patient outcomes. Although it is challenging to ascertain the total burden of transferred patients, it has been estimated that 1.6 million inpatients originated at another facility.[7] Additionally, approximately 5.9% of admissions to a representative sample of US intensive care units (ICU) originated from other hospitals.[8] Patients are transferred between hospitals for multiple reasons beyond medical necessity, for example, to adjust for patient preferences, bed availability, and hospital staffing patterns. This creates a setting in which complex and often critically ill patients are subject to variable and sometimes ambiguous handoff processes.[9]

This survey of 32 tertiary care centers in the United States was undertaken to identify common practices in communication and documentation during interhospital patient transfers. Additional goals were to understand the structure of the handoff process, the role of the transfer center, and how electronic medical records (EMR) and interhospital communication play a role in this care transition. Subsequently, common challenges in coordinating interhospital transfers were identified to provide a conceptual framework for process improvement.

METHODS

Survey Process

The survey was initiated in September 2013 and concluded in September 2015, and was designed to quantify patient volume and identify common as well as unique practices to improve communication across the transfer process. The respondents were transfer center directors or managers, typically with a nursing background. Mass e‐mail generated a very poor response rate and did not allow for discussion and clarification of responses. The strategy was then modified to contact individual institutions directly. The survey was performed via phone whenever possible. Figure 1 represents purposeful sampling conducted on 2 different groups of hospitals. These hospitals represent a convenience sample of institutions from a nationally ranked list of hospitals as well as others comparable to our own institutions. Hospitals were selected based on status as academic tertiary care centers with roughly similar bed sizes (600). Several were selected based on similar EMR capabilities. Geographic diversity was also taken into account. Thirty‐two academic tertiary care centers were ultimately included in the survey. Data were entered into a survey form and deidentified. The RutgersRobert Wood Johnson Medical School Institutional Review Board approved this study.

Figure 1
Purposeful sampling conducted on 2 different groups of hospitals.

Survey Content

Qualitative and quantitative data were collected by the study team. Data included number and origin of transfers (including those from inpatient facilities and emergency departments), staff characteristics, transfer process, documentation received prior to transfer, EMR access and type, outcomes, and clinical status tracking (see Supporting Figure 1 in the online version of this article for the complete survey tool).

Measurement and Data Analysis

Descriptive statistics are presented in unweighted fashion as a number and percentage for dichotomous variables, or a numeric range for ordinal variables. When a range was given by survey participants, the lower end of the range was used to calculate the population median. Several institutions surveyed were unable to provide specific numeric values, but instead cited how many requests for transfer they received either daily or monthly; these were omitted from the demographics analysis.

Respondents also provided a description of their overall triage and acceptance process for qualitative analysis. Unique strategies were identified by the study personnel at the time of each interview and amassed at the end of the interview period. These strategies were then discussed by the study team, and separated into categories that addressed the main challenges associated with interhospital transfers. Five general tenants of the transfer process were identified: acceptance and transport, need for clinical updates, provider handoffs and coordination of care, information availability, and feedback.

RESULTS

Based on a survey question asking respondents to estimate the total number of interhospital transfers received per month, the annual burden of patients transferred into these 32 hospitals represented approximately 247,000 patients yearly. The median number of patients transferred per month, based on a point estimate if given or the lower end of the range if a range was provided, was 700 (range, 2502500). On average, 28% (range, 10%50%) were transferred directly to an ICU, representing approximately 69,000 critically ill patients. A majority of hospitals polled (65%) received patients from more than 100 referring institutions, and a minority (23%) identified EMR interoperability for more than a quarter of the sending facilities. The overall acceptance rate ranged from 50% to 95%.

Table 1 represents common transition elements of participating institutions. Thirty‐eight percent of hospitals utilize a critical caretrained registered nurse as the initial triage point of contact. The process and quality controls for coordinating transfers from outside hospitals were highly variable. Although clinical updates from acceptance to arrival were required in a majority of hospitals (81%), the acceptable time interval was inconsistent, varying from 2 to 4 hours (13%) to 24 hours (38%). A mandatory 3‐way recorded discussion (between transfer center staff, and referring and accepting physician) was nearly uniform. Objective clinical information to assist the handoff (ie, current labs, radiology images, history and physical, progress notes, or discharge summary) was available in only 29% of hospitals. Only 23% of hospitals also recorded a 3‐way nursing handoff (bedside‐to‐bedside nursing report). A minority of hospitals utilized their principal EMR to document the transfer process and share incoming clinical information among providers (32%).

Transfer Center Practices
Survey QuestionSurvey ResponseN (%)
  • NOTE: The denominator is the number of institutions who had available data and responded to that particular question. Abbreviations: EMR, electronic medical record; EMT, emergency medical technician; RN, registered nurse.

What is the training background of the staff member who takes the initial call and triages patients in your transfer center?Critical care experienced RN12/32 (38%)
Other clinical background (EMT, RN)13/32 (41%)
Nonclinical personnel7/32 (22%)
Prior to the patient's arrival, do you require any documentation to be transmitted from the transferring institution?Objective clinical data required9/32 (28%)
Objective clinical data not required23/32 (72%)
Is a 3‐way recorded conversation facilitated by the transfer center required?Initial physician‐to‐physician acceptance discussion27/32 (84%)
RN‐to‐RN report6/26 (23%)
Are clinical status updates required?Updates required every 24 hours12/32 (38%)
Updates required every 812 hours7/32 (22%)
Updates required every 24 hours4/32 (13%)
Updates required but timing not specified3/32 (9%)
Clinical status updates not required6/32 (19%)
Is any clinical information obtained by the transfer center available to the patient's providers in real time on your EMR system?Yes10/31 (32%)
No21/31 (68%)
Do you track the outcomes of patients you accept from outside hospitals?Yes14/24 (58%)
No10/24 (42%)

Descriptions of the transfer process were conceptually evaluated by the study team, then divided into 5 common themes: acceptance and transport, clinical updates, coordination of care, information availability, and quality improvement (Table 2). Institutions devised novel approaches including providing high bed priority to expedite transit, a dedicated quarterback physician to coordinate safe transfer and uninterrupted communication, electronic transfer notes to share communication with all providers, and a standardized system of feedback to referring hospitals. Several institutions relied on an expect note, which could be a free‐text document or a form document in the EMR. This preserves verbal handoff information that may otherwise be lost if the accepting physician at the time of transfer is not the physician receiving the handoff.

Qualitative Survey Results: Challenges and Innovations
ChallengesInnovative Practices
  • NOTE: Abbreviations: EMR, electronic medical record; PACS = picture archiving communication system; RN, registered nurse.

Expedited acceptance and transportAutomatic acceptance for certain diagnoses (ie, neurosurgical indication for transfer)
Transferred patients prioritized for hospital beds over all patients except codes
Hospital controls transportation units, allowing for immediate dispatch and patient retrieval
Outsourcing of transfer center and interfacility transfer to third party
Timeliness of clinical updatesTransfer center communicates with bedside RN for clinical updates at the time of transfer
Clinical status updates every 24 hours for critical patients
Daily reevaluation of clinical status
Accepting physician alerted of changes in clinical status
Handoff and coordination of carePhysician accept tool in EMR
Quarterback physician who triages and accepts all patients during a given time period
Critical patients are accepted into a critical care resuscitation unit, an all‐purpose intensive care unit staffed by an intensivist who shares decision making with the referring provider and is involved in all communications regarding the transferred patient
Availability of protected clinical informationScribed physician handoff imported into EMR
Expect note in EMR: summary of clinical information documented by accepting physician
PACS radiology cloud networks for hospital systems or statewide
EMR interoperability: Care Everywhere module in Epic EMR
Health and information management department responsible for obtaining and scanning outside records into EMR
Feedback and quality improvementAutomatic review if patient upgraded to ICU within 4 hours of arrival
Departmental chair review of physician verbal handoff if poor outcome or difficulty with transfer
Outcomes and quality of handoff reported back to referring hospital
Discharge summary sent to referring hospital
Referring hospital able to view patient's chart for 1 year

Quality improvement occurred via both internal and external feedback at several institutions. There were two notable mechanisms of internal feedback. Review of recorded physician verbal handoff by department chair occurred if an adverse event involved a transferred patient. An automatic internal review was triggered if a patient was upgraded to a higher level of care within 4 hours of arrival. These advanced mechanisms require vigilance and dedication on the part of the transfer center and physicians involved in the transfer process. External feedback was provided to referring hospitals through both active and passive mechanisms. One advanced health system allowed referring providers to access the patient's inpatient medical record for 1 year and sent a discharge summary to all referring hospitals. Another hospital maintained a sophisticated scorecard, with key measures shared with internal stakeholders and referring hospitals. Some of the metrics tracked included: denials due to insufficient bed capacity, change in bed status within 12 hours of transfer, and duration of stay in the postanesthesia care unit or emergency department awaiting an inpatient bed. This organization also performed site visits to referring hospitals, addressing handoff quality improvement.

DISCUSSION

Standardizing intrahospital handoffs has been shown to decrease preventable medical errors and reduce possible near‐miss events.[6, 10] Interhospital care transitions are inherently more complex due to increased acuity and decreased continuity; yet, there is no universal standardization of these handovers. We found that practices vary widely among tertiary care centers, and the level of transfer center involvement in the verbal and written handoff is inconsistent.

Evidence‐based frameworks to improve healthcare delivery, such as TeamSTEPPS (Team Strategies and Tools to Enhance Performance and Patient Safety), first require an organizational assessment to identify barriers to effective communication.[11] Interhospital transfers offer multiple unique barriers to continuity: physical distance, uncertainty in timing, incongruent treatment goals, disparate information sources, and distractions. This study provides the first step in conceptualizing the unique aspects of interhospital transfers, as well as highlights strategies to improve care coordination (Table 2).

A tailored intervention needs not only to overcome the typical barriers to handoffs such as time constraints, information sharing, and ambiguity in provider roles, but also to overcome multiple systems barriers. Bed management systems add another time‐related variable due to fixed and frequently overburdened bed capacity. Prioritization of transfers depends upon an accurate clinical depiction of patient acuity as well as organizational strategies. For example, neurologic diagnoses are commonly a top priority and are triaged as such, sometimes instead of higher‐acuity patients with other principal diagnoses. The complexity of this process may lead to delays in high‐acuity transfers, and is contingent upon accurate and updated clinical information. Coordinating handovers amidst complex provider schedules is another systems barrier. The commonly adopted 7 on, 7 off model for hospitalists, and shift work for intensivists, may increase the possibility that a transfer occurs across multiple provider changes. Patient follow‐up and closed‐loop feedback are important components of intrahospital handovers, but are much more challenging to implement for interhospital handovers with incongruent information systems and providers.

Programs to improve intrahospital handovers (eg, IPASS) emphasize creating an accurate clinical depiction of a patient using both verbal and written handoffs.[12] This is arguably more difficult over the phone without a concurrent written handoff. Recording of 3‐way physician and nurse handoffs is common, but reviews of recorded conversations are often unavailable or cumbersome in real time. EMR documentation of verbal information exchanged during the handoff is a possible solution. However, there may be legal implications for a transcribed verbal handoff. Furthermore, transfer centers often work with a software program separate from the principal EMR, and documentation in real time is challenging. EMR integration could help reinforce a patient‐centered shared mental model by allowing visualization of lab trends, radiology, vitals, and other documentation during and after the verbal handoff.

Physician‐driven checklist accept tools are another solution. Usually the responsibility of the accepting attending or fellow, this type of document is most useful as a modifiable document in the EMR. Accept tools, such as the one created by Malpass et al., have demonstrated successful shared decision making, and have resulted in fewer emergent procedures and fewer antibiotic changes on arrival.[13] One of the challenges with this approach is the frequency of utilization. In the aforementioned study, the adoption rate of the accept tool was about 70% in a closed university medical ICU, where these types of interventions may be viewed favorably by providers instead of burdensome.[13]

The most consistent finding of this survey was the lack of common processes to improve outcomes. Simple interventions, such as regular clinical updates, documentation of the handoff process, and obtaining objective information early in the process, were inconsistently adopted. Outcomes tracking and feedback are necessary components of team‐based quality improvement. Approximately half of the hospitals surveyed specifically tracked outcomes of transferred patients, and a minority had systems in place to provide feedback to referring centers.

Improving care delivery requires buy‐in from all participants, necessitating engagement of referring hospitals. Interventions such as frequent status updates and providing early documentation have the potential to increase the burden on referring providers when feedback or incentives are not commonplace. Moreover, the referring provider has the option of transferring a patient to a hospital with reduced handoff requirements, creating a disincentive for quality improvement. Quality metrics that incorporate outcomes of transferred patients may be necessary to better align the goals of sending and receiving physicians.

This study was intended to be a qualitative investigation and has some limitations. Any verbal qualitative study has the possibility of misinterpretation of information given by transfer center personnel. A single investigator performed most of the discussions and was able to clarify when needed, providing a degree of consistency, but may also be a source of bias. Categorical answers and a team‐based approach to conceptualizing responses likely minimized this potential bias.

We selected hospitals from the U.S. News and World Report Honor Roll plus additional hospitals chosen based on similarity to our home institutions. This may be a skewed sample and may not represent other major US hospitals and networks. However, we chose to interview large academic tertiary care centers, many accepting more than 1000 patients monthly, as these are likely to be the most proficient at performing transfers, and responses may be generalizable.

CONCLUSIONS

Standardization of information exchange during interhospital transfers does not currently exist. Practices vary widely amongst academic tertiary care centers. There is a paucity of data to support the association of specific processes with patient outcomes. Ultimately, a multicenter study examining the impact of improved information transfer on patient outcomes is warranted, utilizing tracking resources already in place. Optimizing and aligning practices between sending and receiving hospitals may improve interhospital handover efficiency and patient safety.

Disclosures

Dr. Usher is supported by a National Institutes of Health Clinical and Translational Science Award at the University of Minnesota: UL1TR000114. Dr. Steinberg has received support from Arena Pharmaceuticals and Major League Baseball. Drs. Herrigel, Parikh, Fanning, and Carroll have no disclosures. A prior version of this article was presented as an abstract at the Society of General Internal Medicine Mid‐Atlantic Regional Meeting in April 2014 in New York, New York.

Files
References
  1. Raduma‐Tomas MA, Flin R, Yule S, Williams D. Doctors' handovers in hospitals: a literature review. BMJ Qual Saf. 2011;20(2):128133.
  2. Ligtenberg JJ, Arnold LG, Stienstra Y, et al. Quality of inter‐hospital transport of critically ill patients: a prospective audit. Crit Care. 2005;9(4):R446R451.
  3. Sokol‐Hessner L, White AA, Davis KF, Herzig SJ, Hohmann SF. Interhospital transfer patients discharged by academic hospitalists and general internists: characteristics and outcomes [published online November 20, 2015]. J Hosp Med. doi: 10.1002/jhm.2515.
  4. Nagpal K, Abboudi M, Fischler L, et al. Evaluation of postoperative handover using a tool to assess information transfer and teamwork. Ann Surg. 2011;253(4):831837.
  5. Starmer AJ, Sectish TC, Simon DW, et al. Rates of medical errors and preventable adverse events among hospitalized children following implementation of a resident handoff bundle. JAMA. 2013;310(21):22622270.
  6. Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):18031812.
  7. HCUP National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). 2012. Agency for Healthcare Research and Quality, Rockville, MD. Available at: www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed 26 May 2015.
  8. Wagner J, Gabler NB, Ratcliffe SJ, Brown SE, Strom BL, Halpern SD. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447455.
  9. Wagner J, Iwashyna TJ, Kahn JM. Reasons underlying inter‐hospital transfers to an academic medical intensive care unit. J Crit Care. 2013;28(2):202208.
  10. Payne CE, Stein JM, Leong T, Dressler DD. Avoiding handover fumbles: a controlled trial of a structured handover tool versus traditional handover methods. BMJ Qual Saf. 2012;21(11):925932.
  11. Keebler JR, Dietz AS, Lazzara EH, et al. Validation of a teamwork perceptions measure to increase patient safety. BMJ Qual Saf. 2014;23(9):718726.
  12. Starmer AJ, O'Toole JK, Rosenbluth G, et al. Development, implementation, and dissemination of the I‐PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014;89(6):876884.
  13. Malpass HC, Enfield KB, Keim‐Malpass J, Verghese GM. The interhospital medical intensive care unit transfer instrument facilitates early implementation of critical therapies and is associated with fewer emergent procedures upon arrival. J Intensive Care Med. 2015;30(6):351357.
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Transitions of care are major sources of preventable medical errors. Incomplete or inaccurate communication during handoffs is the root cause of many adverse events.[1] In a prospective study, adverse events were found to occur during interhospital transfer up to 30% of the time.[2] Furthermore, patients subject to interhospital transfer have longer length of stay and higher inpatient mortality, even after adjusting for mortality risk predictors.[3] Standardizing intrahospital handoff structures and communication practices has been shown to reduce medical errors.[4, 5, 6] Interhospital transfer is an understudied area among the transitions of care literature. Little is known about institutional variations in the process of information transfer and its association with patient outcomes. Although it is challenging to ascertain the total burden of transferred patients, it has been estimated that 1.6 million inpatients originated at another facility.[7] Additionally, approximately 5.9% of admissions to a representative sample of US intensive care units (ICU) originated from other hospitals.[8] Patients are transferred between hospitals for multiple reasons beyond medical necessity, for example, to adjust for patient preferences, bed availability, and hospital staffing patterns. This creates a setting in which complex and often critically ill patients are subject to variable and sometimes ambiguous handoff processes.[9]

This survey of 32 tertiary care centers in the United States was undertaken to identify common practices in communication and documentation during interhospital patient transfers. Additional goals were to understand the structure of the handoff process, the role of the transfer center, and how electronic medical records (EMR) and interhospital communication play a role in this care transition. Subsequently, common challenges in coordinating interhospital transfers were identified to provide a conceptual framework for process improvement.

METHODS

Survey Process

The survey was initiated in September 2013 and concluded in September 2015, and was designed to quantify patient volume and identify common as well as unique practices to improve communication across the transfer process. The respondents were transfer center directors or managers, typically with a nursing background. Mass e‐mail generated a very poor response rate and did not allow for discussion and clarification of responses. The strategy was then modified to contact individual institutions directly. The survey was performed via phone whenever possible. Figure 1 represents purposeful sampling conducted on 2 different groups of hospitals. These hospitals represent a convenience sample of institutions from a nationally ranked list of hospitals as well as others comparable to our own institutions. Hospitals were selected based on status as academic tertiary care centers with roughly similar bed sizes (600). Several were selected based on similar EMR capabilities. Geographic diversity was also taken into account. Thirty‐two academic tertiary care centers were ultimately included in the survey. Data were entered into a survey form and deidentified. The RutgersRobert Wood Johnson Medical School Institutional Review Board approved this study.

Figure 1
Purposeful sampling conducted on 2 different groups of hospitals.

Survey Content

Qualitative and quantitative data were collected by the study team. Data included number and origin of transfers (including those from inpatient facilities and emergency departments), staff characteristics, transfer process, documentation received prior to transfer, EMR access and type, outcomes, and clinical status tracking (see Supporting Figure 1 in the online version of this article for the complete survey tool).

Measurement and Data Analysis

Descriptive statistics are presented in unweighted fashion as a number and percentage for dichotomous variables, or a numeric range for ordinal variables. When a range was given by survey participants, the lower end of the range was used to calculate the population median. Several institutions surveyed were unable to provide specific numeric values, but instead cited how many requests for transfer they received either daily or monthly; these were omitted from the demographics analysis.

Respondents also provided a description of their overall triage and acceptance process for qualitative analysis. Unique strategies were identified by the study personnel at the time of each interview and amassed at the end of the interview period. These strategies were then discussed by the study team, and separated into categories that addressed the main challenges associated with interhospital transfers. Five general tenants of the transfer process were identified: acceptance and transport, need for clinical updates, provider handoffs and coordination of care, information availability, and feedback.

RESULTS

Based on a survey question asking respondents to estimate the total number of interhospital transfers received per month, the annual burden of patients transferred into these 32 hospitals represented approximately 247,000 patients yearly. The median number of patients transferred per month, based on a point estimate if given or the lower end of the range if a range was provided, was 700 (range, 2502500). On average, 28% (range, 10%50%) were transferred directly to an ICU, representing approximately 69,000 critically ill patients. A majority of hospitals polled (65%) received patients from more than 100 referring institutions, and a minority (23%) identified EMR interoperability for more than a quarter of the sending facilities. The overall acceptance rate ranged from 50% to 95%.

Table 1 represents common transition elements of participating institutions. Thirty‐eight percent of hospitals utilize a critical caretrained registered nurse as the initial triage point of contact. The process and quality controls for coordinating transfers from outside hospitals were highly variable. Although clinical updates from acceptance to arrival were required in a majority of hospitals (81%), the acceptable time interval was inconsistent, varying from 2 to 4 hours (13%) to 24 hours (38%). A mandatory 3‐way recorded discussion (between transfer center staff, and referring and accepting physician) was nearly uniform. Objective clinical information to assist the handoff (ie, current labs, radiology images, history and physical, progress notes, or discharge summary) was available in only 29% of hospitals. Only 23% of hospitals also recorded a 3‐way nursing handoff (bedside‐to‐bedside nursing report). A minority of hospitals utilized their principal EMR to document the transfer process and share incoming clinical information among providers (32%).

Transfer Center Practices
Survey QuestionSurvey ResponseN (%)
  • NOTE: The denominator is the number of institutions who had available data and responded to that particular question. Abbreviations: EMR, electronic medical record; EMT, emergency medical technician; RN, registered nurse.

What is the training background of the staff member who takes the initial call and triages patients in your transfer center?Critical care experienced RN12/32 (38%)
Other clinical background (EMT, RN)13/32 (41%)
Nonclinical personnel7/32 (22%)
Prior to the patient's arrival, do you require any documentation to be transmitted from the transferring institution?Objective clinical data required9/32 (28%)
Objective clinical data not required23/32 (72%)
Is a 3‐way recorded conversation facilitated by the transfer center required?Initial physician‐to‐physician acceptance discussion27/32 (84%)
RN‐to‐RN report6/26 (23%)
Are clinical status updates required?Updates required every 24 hours12/32 (38%)
Updates required every 812 hours7/32 (22%)
Updates required every 24 hours4/32 (13%)
Updates required but timing not specified3/32 (9%)
Clinical status updates not required6/32 (19%)
Is any clinical information obtained by the transfer center available to the patient's providers in real time on your EMR system?Yes10/31 (32%)
No21/31 (68%)
Do you track the outcomes of patients you accept from outside hospitals?Yes14/24 (58%)
No10/24 (42%)

Descriptions of the transfer process were conceptually evaluated by the study team, then divided into 5 common themes: acceptance and transport, clinical updates, coordination of care, information availability, and quality improvement (Table 2). Institutions devised novel approaches including providing high bed priority to expedite transit, a dedicated quarterback physician to coordinate safe transfer and uninterrupted communication, electronic transfer notes to share communication with all providers, and a standardized system of feedback to referring hospitals. Several institutions relied on an expect note, which could be a free‐text document or a form document in the EMR. This preserves verbal handoff information that may otherwise be lost if the accepting physician at the time of transfer is not the physician receiving the handoff.

Qualitative Survey Results: Challenges and Innovations
ChallengesInnovative Practices
  • NOTE: Abbreviations: EMR, electronic medical record; PACS = picture archiving communication system; RN, registered nurse.

Expedited acceptance and transportAutomatic acceptance for certain diagnoses (ie, neurosurgical indication for transfer)
Transferred patients prioritized for hospital beds over all patients except codes
Hospital controls transportation units, allowing for immediate dispatch and patient retrieval
Outsourcing of transfer center and interfacility transfer to third party
Timeliness of clinical updatesTransfer center communicates with bedside RN for clinical updates at the time of transfer
Clinical status updates every 24 hours for critical patients
Daily reevaluation of clinical status
Accepting physician alerted of changes in clinical status
Handoff and coordination of carePhysician accept tool in EMR
Quarterback physician who triages and accepts all patients during a given time period
Critical patients are accepted into a critical care resuscitation unit, an all‐purpose intensive care unit staffed by an intensivist who shares decision making with the referring provider and is involved in all communications regarding the transferred patient
Availability of protected clinical informationScribed physician handoff imported into EMR
Expect note in EMR: summary of clinical information documented by accepting physician
PACS radiology cloud networks for hospital systems or statewide
EMR interoperability: Care Everywhere module in Epic EMR
Health and information management department responsible for obtaining and scanning outside records into EMR
Feedback and quality improvementAutomatic review if patient upgraded to ICU within 4 hours of arrival
Departmental chair review of physician verbal handoff if poor outcome or difficulty with transfer
Outcomes and quality of handoff reported back to referring hospital
Discharge summary sent to referring hospital
Referring hospital able to view patient's chart for 1 year

Quality improvement occurred via both internal and external feedback at several institutions. There were two notable mechanisms of internal feedback. Review of recorded physician verbal handoff by department chair occurred if an adverse event involved a transferred patient. An automatic internal review was triggered if a patient was upgraded to a higher level of care within 4 hours of arrival. These advanced mechanisms require vigilance and dedication on the part of the transfer center and physicians involved in the transfer process. External feedback was provided to referring hospitals through both active and passive mechanisms. One advanced health system allowed referring providers to access the patient's inpatient medical record for 1 year and sent a discharge summary to all referring hospitals. Another hospital maintained a sophisticated scorecard, with key measures shared with internal stakeholders and referring hospitals. Some of the metrics tracked included: denials due to insufficient bed capacity, change in bed status within 12 hours of transfer, and duration of stay in the postanesthesia care unit or emergency department awaiting an inpatient bed. This organization also performed site visits to referring hospitals, addressing handoff quality improvement.

DISCUSSION

Standardizing intrahospital handoffs has been shown to decrease preventable medical errors and reduce possible near‐miss events.[6, 10] Interhospital care transitions are inherently more complex due to increased acuity and decreased continuity; yet, there is no universal standardization of these handovers. We found that practices vary widely among tertiary care centers, and the level of transfer center involvement in the verbal and written handoff is inconsistent.

Evidence‐based frameworks to improve healthcare delivery, such as TeamSTEPPS (Team Strategies and Tools to Enhance Performance and Patient Safety), first require an organizational assessment to identify barriers to effective communication.[11] Interhospital transfers offer multiple unique barriers to continuity: physical distance, uncertainty in timing, incongruent treatment goals, disparate information sources, and distractions. This study provides the first step in conceptualizing the unique aspects of interhospital transfers, as well as highlights strategies to improve care coordination (Table 2).

A tailored intervention needs not only to overcome the typical barriers to handoffs such as time constraints, information sharing, and ambiguity in provider roles, but also to overcome multiple systems barriers. Bed management systems add another time‐related variable due to fixed and frequently overburdened bed capacity. Prioritization of transfers depends upon an accurate clinical depiction of patient acuity as well as organizational strategies. For example, neurologic diagnoses are commonly a top priority and are triaged as such, sometimes instead of higher‐acuity patients with other principal diagnoses. The complexity of this process may lead to delays in high‐acuity transfers, and is contingent upon accurate and updated clinical information. Coordinating handovers amidst complex provider schedules is another systems barrier. The commonly adopted 7 on, 7 off model for hospitalists, and shift work for intensivists, may increase the possibility that a transfer occurs across multiple provider changes. Patient follow‐up and closed‐loop feedback are important components of intrahospital handovers, but are much more challenging to implement for interhospital handovers with incongruent information systems and providers.

Programs to improve intrahospital handovers (eg, IPASS) emphasize creating an accurate clinical depiction of a patient using both verbal and written handoffs.[12] This is arguably more difficult over the phone without a concurrent written handoff. Recording of 3‐way physician and nurse handoffs is common, but reviews of recorded conversations are often unavailable or cumbersome in real time. EMR documentation of verbal information exchanged during the handoff is a possible solution. However, there may be legal implications for a transcribed verbal handoff. Furthermore, transfer centers often work with a software program separate from the principal EMR, and documentation in real time is challenging. EMR integration could help reinforce a patient‐centered shared mental model by allowing visualization of lab trends, radiology, vitals, and other documentation during and after the verbal handoff.

Physician‐driven checklist accept tools are another solution. Usually the responsibility of the accepting attending or fellow, this type of document is most useful as a modifiable document in the EMR. Accept tools, such as the one created by Malpass et al., have demonstrated successful shared decision making, and have resulted in fewer emergent procedures and fewer antibiotic changes on arrival.[13] One of the challenges with this approach is the frequency of utilization. In the aforementioned study, the adoption rate of the accept tool was about 70% in a closed university medical ICU, where these types of interventions may be viewed favorably by providers instead of burdensome.[13]

The most consistent finding of this survey was the lack of common processes to improve outcomes. Simple interventions, such as regular clinical updates, documentation of the handoff process, and obtaining objective information early in the process, were inconsistently adopted. Outcomes tracking and feedback are necessary components of team‐based quality improvement. Approximately half of the hospitals surveyed specifically tracked outcomes of transferred patients, and a minority had systems in place to provide feedback to referring centers.

Improving care delivery requires buy‐in from all participants, necessitating engagement of referring hospitals. Interventions such as frequent status updates and providing early documentation have the potential to increase the burden on referring providers when feedback or incentives are not commonplace. Moreover, the referring provider has the option of transferring a patient to a hospital with reduced handoff requirements, creating a disincentive for quality improvement. Quality metrics that incorporate outcomes of transferred patients may be necessary to better align the goals of sending and receiving physicians.

This study was intended to be a qualitative investigation and has some limitations. Any verbal qualitative study has the possibility of misinterpretation of information given by transfer center personnel. A single investigator performed most of the discussions and was able to clarify when needed, providing a degree of consistency, but may also be a source of bias. Categorical answers and a team‐based approach to conceptualizing responses likely minimized this potential bias.

We selected hospitals from the U.S. News and World Report Honor Roll plus additional hospitals chosen based on similarity to our home institutions. This may be a skewed sample and may not represent other major US hospitals and networks. However, we chose to interview large academic tertiary care centers, many accepting more than 1000 patients monthly, as these are likely to be the most proficient at performing transfers, and responses may be generalizable.

CONCLUSIONS

Standardization of information exchange during interhospital transfers does not currently exist. Practices vary widely amongst academic tertiary care centers. There is a paucity of data to support the association of specific processes with patient outcomes. Ultimately, a multicenter study examining the impact of improved information transfer on patient outcomes is warranted, utilizing tracking resources already in place. Optimizing and aligning practices between sending and receiving hospitals may improve interhospital handover efficiency and patient safety.

Disclosures

Dr. Usher is supported by a National Institutes of Health Clinical and Translational Science Award at the University of Minnesota: UL1TR000114. Dr. Steinberg has received support from Arena Pharmaceuticals and Major League Baseball. Drs. Herrigel, Parikh, Fanning, and Carroll have no disclosures. A prior version of this article was presented as an abstract at the Society of General Internal Medicine Mid‐Atlantic Regional Meeting in April 2014 in New York, New York.

Transitions of care are major sources of preventable medical errors. Incomplete or inaccurate communication during handoffs is the root cause of many adverse events.[1] In a prospective study, adverse events were found to occur during interhospital transfer up to 30% of the time.[2] Furthermore, patients subject to interhospital transfer have longer length of stay and higher inpatient mortality, even after adjusting for mortality risk predictors.[3] Standardizing intrahospital handoff structures and communication practices has been shown to reduce medical errors.[4, 5, 6] Interhospital transfer is an understudied area among the transitions of care literature. Little is known about institutional variations in the process of information transfer and its association with patient outcomes. Although it is challenging to ascertain the total burden of transferred patients, it has been estimated that 1.6 million inpatients originated at another facility.[7] Additionally, approximately 5.9% of admissions to a representative sample of US intensive care units (ICU) originated from other hospitals.[8] Patients are transferred between hospitals for multiple reasons beyond medical necessity, for example, to adjust for patient preferences, bed availability, and hospital staffing patterns. This creates a setting in which complex and often critically ill patients are subject to variable and sometimes ambiguous handoff processes.[9]

This survey of 32 tertiary care centers in the United States was undertaken to identify common practices in communication and documentation during interhospital patient transfers. Additional goals were to understand the structure of the handoff process, the role of the transfer center, and how electronic medical records (EMR) and interhospital communication play a role in this care transition. Subsequently, common challenges in coordinating interhospital transfers were identified to provide a conceptual framework for process improvement.

METHODS

Survey Process

The survey was initiated in September 2013 and concluded in September 2015, and was designed to quantify patient volume and identify common as well as unique practices to improve communication across the transfer process. The respondents were transfer center directors or managers, typically with a nursing background. Mass e‐mail generated a very poor response rate and did not allow for discussion and clarification of responses. The strategy was then modified to contact individual institutions directly. The survey was performed via phone whenever possible. Figure 1 represents purposeful sampling conducted on 2 different groups of hospitals. These hospitals represent a convenience sample of institutions from a nationally ranked list of hospitals as well as others comparable to our own institutions. Hospitals were selected based on status as academic tertiary care centers with roughly similar bed sizes (600). Several were selected based on similar EMR capabilities. Geographic diversity was also taken into account. Thirty‐two academic tertiary care centers were ultimately included in the survey. Data were entered into a survey form and deidentified. The RutgersRobert Wood Johnson Medical School Institutional Review Board approved this study.

Figure 1
Purposeful sampling conducted on 2 different groups of hospitals.

Survey Content

Qualitative and quantitative data were collected by the study team. Data included number and origin of transfers (including those from inpatient facilities and emergency departments), staff characteristics, transfer process, documentation received prior to transfer, EMR access and type, outcomes, and clinical status tracking (see Supporting Figure 1 in the online version of this article for the complete survey tool).

Measurement and Data Analysis

Descriptive statistics are presented in unweighted fashion as a number and percentage for dichotomous variables, or a numeric range for ordinal variables. When a range was given by survey participants, the lower end of the range was used to calculate the population median. Several institutions surveyed were unable to provide specific numeric values, but instead cited how many requests for transfer they received either daily or monthly; these were omitted from the demographics analysis.

Respondents also provided a description of their overall triage and acceptance process for qualitative analysis. Unique strategies were identified by the study personnel at the time of each interview and amassed at the end of the interview period. These strategies were then discussed by the study team, and separated into categories that addressed the main challenges associated with interhospital transfers. Five general tenants of the transfer process were identified: acceptance and transport, need for clinical updates, provider handoffs and coordination of care, information availability, and feedback.

RESULTS

Based on a survey question asking respondents to estimate the total number of interhospital transfers received per month, the annual burden of patients transferred into these 32 hospitals represented approximately 247,000 patients yearly. The median number of patients transferred per month, based on a point estimate if given or the lower end of the range if a range was provided, was 700 (range, 2502500). On average, 28% (range, 10%50%) were transferred directly to an ICU, representing approximately 69,000 critically ill patients. A majority of hospitals polled (65%) received patients from more than 100 referring institutions, and a minority (23%) identified EMR interoperability for more than a quarter of the sending facilities. The overall acceptance rate ranged from 50% to 95%.

Table 1 represents common transition elements of participating institutions. Thirty‐eight percent of hospitals utilize a critical caretrained registered nurse as the initial triage point of contact. The process and quality controls for coordinating transfers from outside hospitals were highly variable. Although clinical updates from acceptance to arrival were required in a majority of hospitals (81%), the acceptable time interval was inconsistent, varying from 2 to 4 hours (13%) to 24 hours (38%). A mandatory 3‐way recorded discussion (between transfer center staff, and referring and accepting physician) was nearly uniform. Objective clinical information to assist the handoff (ie, current labs, radiology images, history and physical, progress notes, or discharge summary) was available in only 29% of hospitals. Only 23% of hospitals also recorded a 3‐way nursing handoff (bedside‐to‐bedside nursing report). A minority of hospitals utilized their principal EMR to document the transfer process and share incoming clinical information among providers (32%).

Transfer Center Practices
Survey QuestionSurvey ResponseN (%)
  • NOTE: The denominator is the number of institutions who had available data and responded to that particular question. Abbreviations: EMR, electronic medical record; EMT, emergency medical technician; RN, registered nurse.

What is the training background of the staff member who takes the initial call and triages patients in your transfer center?Critical care experienced RN12/32 (38%)
Other clinical background (EMT, RN)13/32 (41%)
Nonclinical personnel7/32 (22%)
Prior to the patient's arrival, do you require any documentation to be transmitted from the transferring institution?Objective clinical data required9/32 (28%)
Objective clinical data not required23/32 (72%)
Is a 3‐way recorded conversation facilitated by the transfer center required?Initial physician‐to‐physician acceptance discussion27/32 (84%)
RN‐to‐RN report6/26 (23%)
Are clinical status updates required?Updates required every 24 hours12/32 (38%)
Updates required every 812 hours7/32 (22%)
Updates required every 24 hours4/32 (13%)
Updates required but timing not specified3/32 (9%)
Clinical status updates not required6/32 (19%)
Is any clinical information obtained by the transfer center available to the patient's providers in real time on your EMR system?Yes10/31 (32%)
No21/31 (68%)
Do you track the outcomes of patients you accept from outside hospitals?Yes14/24 (58%)
No10/24 (42%)

Descriptions of the transfer process were conceptually evaluated by the study team, then divided into 5 common themes: acceptance and transport, clinical updates, coordination of care, information availability, and quality improvement (Table 2). Institutions devised novel approaches including providing high bed priority to expedite transit, a dedicated quarterback physician to coordinate safe transfer and uninterrupted communication, electronic transfer notes to share communication with all providers, and a standardized system of feedback to referring hospitals. Several institutions relied on an expect note, which could be a free‐text document or a form document in the EMR. This preserves verbal handoff information that may otherwise be lost if the accepting physician at the time of transfer is not the physician receiving the handoff.

Qualitative Survey Results: Challenges and Innovations
ChallengesInnovative Practices
  • NOTE: Abbreviations: EMR, electronic medical record; PACS = picture archiving communication system; RN, registered nurse.

Expedited acceptance and transportAutomatic acceptance for certain diagnoses (ie, neurosurgical indication for transfer)
Transferred patients prioritized for hospital beds over all patients except codes
Hospital controls transportation units, allowing for immediate dispatch and patient retrieval
Outsourcing of transfer center and interfacility transfer to third party
Timeliness of clinical updatesTransfer center communicates with bedside RN for clinical updates at the time of transfer
Clinical status updates every 24 hours for critical patients
Daily reevaluation of clinical status
Accepting physician alerted of changes in clinical status
Handoff and coordination of carePhysician accept tool in EMR
Quarterback physician who triages and accepts all patients during a given time period
Critical patients are accepted into a critical care resuscitation unit, an all‐purpose intensive care unit staffed by an intensivist who shares decision making with the referring provider and is involved in all communications regarding the transferred patient
Availability of protected clinical informationScribed physician handoff imported into EMR
Expect note in EMR: summary of clinical information documented by accepting physician
PACS radiology cloud networks for hospital systems or statewide
EMR interoperability: Care Everywhere module in Epic EMR
Health and information management department responsible for obtaining and scanning outside records into EMR
Feedback and quality improvementAutomatic review if patient upgraded to ICU within 4 hours of arrival
Departmental chair review of physician verbal handoff if poor outcome or difficulty with transfer
Outcomes and quality of handoff reported back to referring hospital
Discharge summary sent to referring hospital
Referring hospital able to view patient's chart for 1 year

Quality improvement occurred via both internal and external feedback at several institutions. There were two notable mechanisms of internal feedback. Review of recorded physician verbal handoff by department chair occurred if an adverse event involved a transferred patient. An automatic internal review was triggered if a patient was upgraded to a higher level of care within 4 hours of arrival. These advanced mechanisms require vigilance and dedication on the part of the transfer center and physicians involved in the transfer process. External feedback was provided to referring hospitals through both active and passive mechanisms. One advanced health system allowed referring providers to access the patient's inpatient medical record for 1 year and sent a discharge summary to all referring hospitals. Another hospital maintained a sophisticated scorecard, with key measures shared with internal stakeholders and referring hospitals. Some of the metrics tracked included: denials due to insufficient bed capacity, change in bed status within 12 hours of transfer, and duration of stay in the postanesthesia care unit or emergency department awaiting an inpatient bed. This organization also performed site visits to referring hospitals, addressing handoff quality improvement.

DISCUSSION

Standardizing intrahospital handoffs has been shown to decrease preventable medical errors and reduce possible near‐miss events.[6, 10] Interhospital care transitions are inherently more complex due to increased acuity and decreased continuity; yet, there is no universal standardization of these handovers. We found that practices vary widely among tertiary care centers, and the level of transfer center involvement in the verbal and written handoff is inconsistent.

Evidence‐based frameworks to improve healthcare delivery, such as TeamSTEPPS (Team Strategies and Tools to Enhance Performance and Patient Safety), first require an organizational assessment to identify barriers to effective communication.[11] Interhospital transfers offer multiple unique barriers to continuity: physical distance, uncertainty in timing, incongruent treatment goals, disparate information sources, and distractions. This study provides the first step in conceptualizing the unique aspects of interhospital transfers, as well as highlights strategies to improve care coordination (Table 2).

A tailored intervention needs not only to overcome the typical barriers to handoffs such as time constraints, information sharing, and ambiguity in provider roles, but also to overcome multiple systems barriers. Bed management systems add another time‐related variable due to fixed and frequently overburdened bed capacity. Prioritization of transfers depends upon an accurate clinical depiction of patient acuity as well as organizational strategies. For example, neurologic diagnoses are commonly a top priority and are triaged as such, sometimes instead of higher‐acuity patients with other principal diagnoses. The complexity of this process may lead to delays in high‐acuity transfers, and is contingent upon accurate and updated clinical information. Coordinating handovers amidst complex provider schedules is another systems barrier. The commonly adopted 7 on, 7 off model for hospitalists, and shift work for intensivists, may increase the possibility that a transfer occurs across multiple provider changes. Patient follow‐up and closed‐loop feedback are important components of intrahospital handovers, but are much more challenging to implement for interhospital handovers with incongruent information systems and providers.

Programs to improve intrahospital handovers (eg, IPASS) emphasize creating an accurate clinical depiction of a patient using both verbal and written handoffs.[12] This is arguably more difficult over the phone without a concurrent written handoff. Recording of 3‐way physician and nurse handoffs is common, but reviews of recorded conversations are often unavailable or cumbersome in real time. EMR documentation of verbal information exchanged during the handoff is a possible solution. However, there may be legal implications for a transcribed verbal handoff. Furthermore, transfer centers often work with a software program separate from the principal EMR, and documentation in real time is challenging. EMR integration could help reinforce a patient‐centered shared mental model by allowing visualization of lab trends, radiology, vitals, and other documentation during and after the verbal handoff.

Physician‐driven checklist accept tools are another solution. Usually the responsibility of the accepting attending or fellow, this type of document is most useful as a modifiable document in the EMR. Accept tools, such as the one created by Malpass et al., have demonstrated successful shared decision making, and have resulted in fewer emergent procedures and fewer antibiotic changes on arrival.[13] One of the challenges with this approach is the frequency of utilization. In the aforementioned study, the adoption rate of the accept tool was about 70% in a closed university medical ICU, where these types of interventions may be viewed favorably by providers instead of burdensome.[13]

The most consistent finding of this survey was the lack of common processes to improve outcomes. Simple interventions, such as regular clinical updates, documentation of the handoff process, and obtaining objective information early in the process, were inconsistently adopted. Outcomes tracking and feedback are necessary components of team‐based quality improvement. Approximately half of the hospitals surveyed specifically tracked outcomes of transferred patients, and a minority had systems in place to provide feedback to referring centers.

Improving care delivery requires buy‐in from all participants, necessitating engagement of referring hospitals. Interventions such as frequent status updates and providing early documentation have the potential to increase the burden on referring providers when feedback or incentives are not commonplace. Moreover, the referring provider has the option of transferring a patient to a hospital with reduced handoff requirements, creating a disincentive for quality improvement. Quality metrics that incorporate outcomes of transferred patients may be necessary to better align the goals of sending and receiving physicians.

This study was intended to be a qualitative investigation and has some limitations. Any verbal qualitative study has the possibility of misinterpretation of information given by transfer center personnel. A single investigator performed most of the discussions and was able to clarify when needed, providing a degree of consistency, but may also be a source of bias. Categorical answers and a team‐based approach to conceptualizing responses likely minimized this potential bias.

We selected hospitals from the U.S. News and World Report Honor Roll plus additional hospitals chosen based on similarity to our home institutions. This may be a skewed sample and may not represent other major US hospitals and networks. However, we chose to interview large academic tertiary care centers, many accepting more than 1000 patients monthly, as these are likely to be the most proficient at performing transfers, and responses may be generalizable.

CONCLUSIONS

Standardization of information exchange during interhospital transfers does not currently exist. Practices vary widely amongst academic tertiary care centers. There is a paucity of data to support the association of specific processes with patient outcomes. Ultimately, a multicenter study examining the impact of improved information transfer on patient outcomes is warranted, utilizing tracking resources already in place. Optimizing and aligning practices between sending and receiving hospitals may improve interhospital handover efficiency and patient safety.

Disclosures

Dr. Usher is supported by a National Institutes of Health Clinical and Translational Science Award at the University of Minnesota: UL1TR000114. Dr. Steinberg has received support from Arena Pharmaceuticals and Major League Baseball. Drs. Herrigel, Parikh, Fanning, and Carroll have no disclosures. A prior version of this article was presented as an abstract at the Society of General Internal Medicine Mid‐Atlantic Regional Meeting in April 2014 in New York, New York.

References
  1. Raduma‐Tomas MA, Flin R, Yule S, Williams D. Doctors' handovers in hospitals: a literature review. BMJ Qual Saf. 2011;20(2):128133.
  2. Ligtenberg JJ, Arnold LG, Stienstra Y, et al. Quality of inter‐hospital transport of critically ill patients: a prospective audit. Crit Care. 2005;9(4):R446R451.
  3. Sokol‐Hessner L, White AA, Davis KF, Herzig SJ, Hohmann SF. Interhospital transfer patients discharged by academic hospitalists and general internists: characteristics and outcomes [published online November 20, 2015]. J Hosp Med. doi: 10.1002/jhm.2515.
  4. Nagpal K, Abboudi M, Fischler L, et al. Evaluation of postoperative handover using a tool to assess information transfer and teamwork. Ann Surg. 2011;253(4):831837.
  5. Starmer AJ, Sectish TC, Simon DW, et al. Rates of medical errors and preventable adverse events among hospitalized children following implementation of a resident handoff bundle. JAMA. 2013;310(21):22622270.
  6. Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):18031812.
  7. HCUP National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). 2012. Agency for Healthcare Research and Quality, Rockville, MD. Available at: www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed 26 May 2015.
  8. Wagner J, Gabler NB, Ratcliffe SJ, Brown SE, Strom BL, Halpern SD. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447455.
  9. Wagner J, Iwashyna TJ, Kahn JM. Reasons underlying inter‐hospital transfers to an academic medical intensive care unit. J Crit Care. 2013;28(2):202208.
  10. Payne CE, Stein JM, Leong T, Dressler DD. Avoiding handover fumbles: a controlled trial of a structured handover tool versus traditional handover methods. BMJ Qual Saf. 2012;21(11):925932.
  11. Keebler JR, Dietz AS, Lazzara EH, et al. Validation of a teamwork perceptions measure to increase patient safety. BMJ Qual Saf. 2014;23(9):718726.
  12. Starmer AJ, O'Toole JK, Rosenbluth G, et al. Development, implementation, and dissemination of the I‐PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014;89(6):876884.
  13. Malpass HC, Enfield KB, Keim‐Malpass J, Verghese GM. The interhospital medical intensive care unit transfer instrument facilitates early implementation of critical therapies and is associated with fewer emergent procedures upon arrival. J Intensive Care Med. 2015;30(6):351357.
References
  1. Raduma‐Tomas MA, Flin R, Yule S, Williams D. Doctors' handovers in hospitals: a literature review. BMJ Qual Saf. 2011;20(2):128133.
  2. Ligtenberg JJ, Arnold LG, Stienstra Y, et al. Quality of inter‐hospital transport of critically ill patients: a prospective audit. Crit Care. 2005;9(4):R446R451.
  3. Sokol‐Hessner L, White AA, Davis KF, Herzig SJ, Hohmann SF. Interhospital transfer patients discharged by academic hospitalists and general internists: characteristics and outcomes [published online November 20, 2015]. J Hosp Med. doi: 10.1002/jhm.2515.
  4. Nagpal K, Abboudi M, Fischler L, et al. Evaluation of postoperative handover using a tool to assess information transfer and teamwork. Ann Surg. 2011;253(4):831837.
  5. Starmer AJ, Sectish TC, Simon DW, et al. Rates of medical errors and preventable adverse events among hospitalized children following implementation of a resident handoff bundle. JAMA. 2013;310(21):22622270.
  6. Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):18031812.
  7. HCUP National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). 2012. Agency for Healthcare Research and Quality, Rockville, MD. Available at: www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed 26 May 2015.
  8. Wagner J, Gabler NB, Ratcliffe SJ, Brown SE, Strom BL, Halpern SD. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447455.
  9. Wagner J, Iwashyna TJ, Kahn JM. Reasons underlying inter‐hospital transfers to an academic medical intensive care unit. J Crit Care. 2013;28(2):202208.
  10. Payne CE, Stein JM, Leong T, Dressler DD. Avoiding handover fumbles: a controlled trial of a structured handover tool versus traditional handover methods. BMJ Qual Saf. 2012;21(11):925932.
  11. Keebler JR, Dietz AS, Lazzara EH, et al. Validation of a teamwork perceptions measure to increase patient safety. BMJ Qual Saf. 2014;23(9):718726.
  12. Starmer AJ, O'Toole JK, Rosenbluth G, et al. Development, implementation, and dissemination of the I‐PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014;89(6):876884.
  13. Malpass HC, Enfield KB, Keim‐Malpass J, Verghese GM. The interhospital medical intensive care unit transfer instrument facilitates early implementation of critical therapies and is associated with fewer emergent procedures upon arrival. J Intensive Care Med. 2015;30(6):351357.
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Interhospital transfer handoff practices among US tertiary care centers: A descriptive survey
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Address for correspondence and reprint requests: Dana Herrigel, MD, Rutgers–Robert Wood Johnson Medical School, 1 Robert Wood Johnson Place, MEB Room 494, New Brunswick, NJ 08901; Telephone: 732‐235‐6501; Fax: 732‐235‐7427; E‐mail: dana.herrigel@rutgers.edu
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The crushing of innovation for treating female pelvic floor disorders: A story of “lead or be led”

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The crushing of innovation for treating female pelvic floor disorders: A story of “lead or be led”

With the decision by Astora Women’s Health to discontinue operations as of March 31, 2016, we have lost midurethral slings and pelvic organ prolapse repair mesh, technologies and kits that have been among the most widely used and studied (Steve Blum, Senior Vice President and General Manager, Astora Women’s Health, and Kathie J. Lenzen, Senior Vice President and General Manager, Endo Device Operations, e-mail communication to physician customers, February 29, 2016). US Food and Drug Administration (FDA)−mandated 522 postmarket surveillance studies on these products have stopped enrolling patients, and we will therefore never glean the full science from fully enrolled and completed studies. This is a horrible precedent. How did this happen, and what do we need to do now to prevent further loss of helpful innovative technologies that benefit our patients with pelvic floor disorders?

Liability challenges precipitated shut downEndo Pharmaceuticals, the parent company of Astora (previously American Medical Systems Women’s Health division), last year offered $1.5 billion to settle a majority of its pending mesh litigation cases. I was told that the company wanted to put all of the negative noise from the relentless plaintiff attorney public media campaign behind it and refocus its attention on helping women with pelvic floor disorders.

Over the past year, 4 interested and capable buyers have been in discussions with the company to purchase and continue its product line. The company’s recent decision to not sell its product line and discontinue all operations was based on “the current legal environment and the ongoing challenges associated with vaginal mesh product liability” (Astora Women’s Health, e-mail communication to physician customers, February 29, 2016). If it had chosen to sell its product line, the company always would have remained a potential deep-pocketed codefendant in any future litigation against the company that purchased its products, technologies, and intellectual properties.

This is a frightening scenario that threatens existing companies that want to remain in the prolapse and incontinence product space. This is a threat to all future innovation for pelvic floor disorder therapies, and it discourages anyone or any company to invest in innovative products that may help our patients. In addition, it is a threat to our mission as physicians and surgeons to provide the very best therapies to our patients who deserve and expect us to do so.

Let me be crystal clear: Currently available midurethral slings are also in the crosshairs of plaintiff attorneys, and we are at risk of losing them as well if we do not act quickly, decisively, and as a unified force. More than 60% of the mesh lawsuits have been against midurethral slings, not the prolapse mesh kits focused on in the FDA Public Health notice of July 2011.1 In their class action lawsuits, plaintiff attorneys lumped together any procedure involving mesh in the pelvis to increase the number of their patient clients involved, which can drive up settlement awards, and they succeeded. In 2014, 128,030 sling procedures for incontinence were performed. Does anyone truly believe that the scientific literature supports that these patients would have been best served by 128,030 Burch procedures?

Some believe that Endo Pharmaceuticals’ placement of $1.5 billion in settlement funds was an error, “threw blood in the water,” and led to what has happened. Some believe that companies should fight every lawsuit to win and not settle. By the companies winning cases, the plaintiff attorneys lose their incentives to advertise and file more cases, as they only receive money if they win (or get a settlement) and are out of pocket for their costs and time if they lose.

Plaintiff attorneys have a responsibility to zealously advocate for their patient clients. Defense attorneys have a responsibility to zealously defend their corporate clients. We surgeons must realize that we have a responsibility to zealously advocate for our patients and do whatever is needed to best serve them and to protect the use (and development) of innovative products and therapies that give them value and a better quality of life.

Proactive steps surgeons can take


How do we do this? I suggest the following:

Implement expert oversight for litigation. Some of the large plaintiff awards were assisted by expert testimony based on a highly questionable scientific foundation. Judges give expert witnesses great latitude in their testimony, relying on the jury to discern the truth. I recommend that professional societies, such as the American College of Obstetricians and Gynecologists (ACOG), AmericanUrological Association (AUA), American Urogynecologic Society (AUGS), Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction (SUFU), and Society of Gynecologic Surgeons (SGS), establish a panel to review and carefully evaluate plaintiff expert testimony that has a questionable scientific foundation. If such a panel finds the scientific basis of testimony to be biased, untruthful, or unethical, the societies must publicly reprimand and sanction these experts. Only then would these experts no longer be used by the plaintiff attorneys.

 

 

Such an expert panel also could serve to educate the judges in federal and state courts on real science and not manufactured opinions.

We need juries that can understand the science so they truly can decide on cases involving complex technologies.

Support professional leadership efforts. I am encouraged that AUGS is working to establish guidelines for the management of mesh complications. I have seen cases in which a small amount of mesh exposure, best treated by limited local excision of the exposed mesh, instead has been treated by complete excision of every polypropylene fiber placed, resulting in an unnecessarily morbid surgery that leaves a scarred and small vagina. Notably, some of the surgeons who excise every polypropylene fiber are also working as plaintiff experts, who may then testify that the scarred, small vagina was caused by the mesh and the implanting surgeon.

Our professional society leadership and volunteer committees, especially from AUGS, have done a tremendous amount of work in assisting with the FDA-required 522 postmarket surveillance study research design; establishing a Pelvic Floor Disorders Registry (http://www.pfdr.org/) and a sling registry; and developing credentialing guidelines for sacrocolpopexy, transvaginal mesh, and slings. They deserve our gratitude and our participation in the registries. It would be a tragedy if all of this work does not lead to fully enrolled and completed 522 studies so that we can scientifically make decisions on products before any more treatment options are removed from the market.

Use video to scrutinize surgical outcomes data. The surgical literature shows extreme variance in outcomes and complications for vaginal mesh surgery, including exposure rates from 1% to 20% with the same mesh products. This only can be explained by depth of surgical dissection and implanting technique. Surgical outcomes have been shown to be related directly to surgical volumes and experience.2 I propose that going forward, any authors who publish their study outcomes and complication data on a surgical procedure must submit a surgical video that demonstrates exactly how the surgery was done.

Best serve the patient. We all need to rigorously follow our own surgery results, improve our techniques, and keep within our surgical skill sets. We need to share our outcome and complication data with our patients during the informed consent process, since we, and not the surgical literature, are performing their surgeries.

We need to be transparent and respectful of our colleagues with different skill sets, putting what is best for patients ahead of everything else. We must be mindful of our inherent biases toward surgeries we are personally very good at and comfortable with. We must respect that other surgeons may achieve better clinical outcomes than us with the same surgery. We need to teach each other the best reproducible surgical techniques to maximize outcomes and minimize complications.

We must humbly accept that not every surgeon can do every surgery (and should not try). If a patient would be best served with a surgery we are not skilled in, we must refer that patient to a colleague who is.

Encourage industry’s part in training. As new technologies are developed, we must be brutally honest with ourselves about whether or not we have the skill sets to use them. Industry must gauge the complexity of the surgical skill set necessary to use their products and limit attendance at their teaching labs to surgeons who have the skills required to obtain good outcomes and minimize complications.

We have reached the tipping pointWe have seen the enemy, and it is us. We now need to advocate zealously for our patients. We will succeed only if we keep what is best for our patients at the forefront of everything we do. We must today decide to lead or be led. If we do not lead, we will be led by others—to places that may not best serve our patients. Make no mistake, this is a tipping point. The future of midurethral slings and potential future innovations lie in our hands right now.

Notably, just days prior to Astora’s letter to its physician customers announcing the decision to discontinue all of its operations, the transobturator postanal sling system (TOPAS) for fecal incontinence, a product in the pipeline at Astora, received 3 unanimous 8-0 votes from an FDA device advisory panel on safety, efficacy, and benefit outweighing risk.3 The future of this technology is now uncertain as well.

I ask Endo Pharmaceuticals to reconsider abandoning all of its products and intellectual properties. I ask it to entertain discussions with large companies that want its technologies and intellectual properties and can indemnify it from future litigation. While there never is a guarantee of complete indemnification and the company does have a fiduciary responsibility to its shareholders, industry also has a responsibility to patients and surgeons to allow helpful technologies to persist.

 

 

According to Astora’s letter to its physician customers, “Patient health has always been our number one priority. As such, the business closure has been expedited so that you and your patients have the opportunity to assess alternative treatment options as soon as possible.”

That letter was dated February 29. I do not feel that 31 days’ notice is enough time for surgeons to assess—let alone learn and master—new treatment options. It would have been helpful if Endo Pharmaceuticals had given more notice and would at least have allowed other interested companies the option to purchase useful technologies and intellectual property to mitigate its rapid departure from the space. The company remains in the health care arena with its pharmaceutical products, and how it behaves leaving the surgical space will be noted and impact its brand and reputation.

Lessons from the morcellation situationHow quickly the power morcellator disappeared is a lesson to note very carefully, and it has important parallels to what we now face. I highly recommend that you read and study Lisa Rosenbaum’s article in New England Journal of Medicine, “N-of-1 policymaking—tragedy, trade-offs, and the demise of morcellation.”4 She eloquently discusses how decisions to terminate technologies based on passionate anecdotal stories and media campaigns, and not scientific study, does not serve the greater good. She explores lessons learned from the silicone breast implant saga as well, stating “the tendency to focus on eliminating an immediate harm while failing to consider potentially greater harms caused by that reaction is heightened by the power of tragic stories.”4

We need a calmer, less emotional, and balanced scientific approach to evaluate technologies. We need to consider what harm is done by not allowing new technologies to be adequately studied, improved, and implemented. Dr. Rosenbaum discusses what Cass Sunstein and Timur Kuran call the “availability cascade,” “a phenomenon whereby stories inform public perceptions and anyone challenging those perceptions is vilified.”4,5

No technology will ever be risk free, and there always will be some risks and complications that could be significant and chilling. However, patient autonomy requires a full discussion of a risk/benefit ratio that is based on science, and these scientific data must be allowed to be collected and learned. There even can be more significant and chilling complications from not using a technology as well.

It is challenging to speak science to emotion that is driven by tragic outcomes, but we can remain compassionate as we seek the science that will serve the greater good. Condemning proponents of carefully studied and properly implemented technologies as immoral is neither helpful nor constructive. Crushing the ability to thoroughly and scientifically study new technologies is not in the best interest of our patients with pelvic floor disorders.

It is time to reawaken the better angels of our natureWill we do the necessary work now no matter how uncomfortable it may make us feel? Or will we be intimidated and remain silent and disjointed? Will we participate in the registries and follow best clinical practice and credentialing guidelines? Will we hold ourselves and our colleagues accountable? It is time to remember why we became surgeons, and to start acting on our convictions.

To that end, we must ask ourselves, will we:

  • honor the Hippocratic Oath that we took in medical school and “respect the hard-won scientific gains of those physicians in whose steps I walk, and gladly share such knowledge as is mine with those who are to follow”6
  • “not be ashamed to say ‘I know not,’ nor will I fail to call in my colleagues when the skills of another are needed for a patient’s recovery”6
  • zealously advocate for our patients to ensure we can offer them the very best therapies
  • honor and respect the sacred trust patients place in us when we take them to the operating room
  • lead or be led?

This is personal for me. My mother struggled with pelvic floor disorders. I always felt it grossly unfair that women who chose to give us life could suffer for the rest of theirs for that decision. These women deserve our very best. The 40 million women with pelvic floor disorders deserve—and expect—that we lead. Will we?

I am hopeful that we will. I believe we will rise to today’s challenges and protect and fight for our patients. I believe that years from now we will look back and be proud that we did the right thing, and in so doing protected and encouraged innovations that significantly enhanced the quality of our patients’ lives. I believe patients will recognize our genuine efforts and in so doing give our profession the respect and trust that I feel has been diminished.

 

 

I believe we will draw the needed courage and resolve from the oath we recited in medical school and remember that, “If I do not violate this oath, may I enjoy life and art, respected while I live and remembered with affection thereafter. May I always act so as to preserve the finest traditions of my calling and may I long experience the joy of healing those who seek my help.”6

I do believe we will.

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References
  1. Food and Drug Administration. Urogynecologic surgical mesh: update on the safety and effectiveness of transvaginal placement for pelvic organ prolapse. http://www.fda.gov/downloads/MedicalDevices/Safety/AlertsandNotices/UCM262760.pdf. Published July 2011. Accessed March 21, 2016.
  2. Meyer CP, Trinh QD. Complications after surgery for stress urinary incontinence: untangling a mesh of uncertainties. JAMA Surg. 2015;150(12):1175-1176.
  3. Food and Drug Administration Center for Devices and Radiological Health. Brief summary of the Gastroenterology and Urology Devices Panel of the Medical Devices Advisory Committee Meeting--February 25, 2016. http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/MedicalDevices/MedicalDevicesAdvisoryCommittee/Gastroenterology-UrologyDevicesPanel/UCM488397.pdf. Accessed March 21, 2016.
  4. Rosenbaum L. N-of-1--tragedy, trade-offs, and the demise of morcellation. N Engl J Med. 2016;374(10):986-990.
  5. Kuran T, Sunstein C. Availability cascades and risk regulation. Stanford Law Rev. 1999;51:683-768.
  6. Hippocratic oath, modern version. Adapted by Louis Lasagna. 1964. Johns Hopkins Sheridan Libraries and University Museums website. http://guides.library.jhu.edu/c.php?g=202502&p=1335759. Updated December 8, 2015. Accessed March 22, 2016.
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Dr. Cassidenti is Director of Female Pelvic Medicine and Reconstructive Surgery at St. Joseph’s Hospital, Orange, California, and Chief of FPMRS for the Ob/Gyn Residency Program at Kern Medical Center, Bakersfield.

The author reports that he has served as a consultant and proctor for Astora Women’s Health and as an expert witness for Boston Scientific in the mesh litigation.

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Dr. Cassidenti is Director of Female Pelvic Medicine and Reconstructive Surgery at St. Joseph’s Hospital, Orange, California, and Chief of FPMRS for the Ob/Gyn Residency Program at Kern Medical Center, Bakersfield.

The author reports that he has served as a consultant and proctor for Astora Women’s Health and as an expert witness for Boston Scientific in the mesh litigation.

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Dr. Cassidenti is Director of Female Pelvic Medicine and Reconstructive Surgery at St. Joseph’s Hospital, Orange, California, and Chief of FPMRS for the Ob/Gyn Residency Program at Kern Medical Center, Bakersfield.

The author reports that he has served as a consultant and proctor for Astora Women’s Health and as an expert witness for Boston Scientific in the mesh litigation.

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Related Articles

With the decision by Astora Women’s Health to discontinue operations as of March 31, 2016, we have lost midurethral slings and pelvic organ prolapse repair mesh, technologies and kits that have been among the most widely used and studied (Steve Blum, Senior Vice President and General Manager, Astora Women’s Health, and Kathie J. Lenzen, Senior Vice President and General Manager, Endo Device Operations, e-mail communication to physician customers, February 29, 2016). US Food and Drug Administration (FDA)−mandated 522 postmarket surveillance studies on these products have stopped enrolling patients, and we will therefore never glean the full science from fully enrolled and completed studies. This is a horrible precedent. How did this happen, and what do we need to do now to prevent further loss of helpful innovative technologies that benefit our patients with pelvic floor disorders?

Liability challenges precipitated shut downEndo Pharmaceuticals, the parent company of Astora (previously American Medical Systems Women’s Health division), last year offered $1.5 billion to settle a majority of its pending mesh litigation cases. I was told that the company wanted to put all of the negative noise from the relentless plaintiff attorney public media campaign behind it and refocus its attention on helping women with pelvic floor disorders.

Over the past year, 4 interested and capable buyers have been in discussions with the company to purchase and continue its product line. The company’s recent decision to not sell its product line and discontinue all operations was based on “the current legal environment and the ongoing challenges associated with vaginal mesh product liability” (Astora Women’s Health, e-mail communication to physician customers, February 29, 2016). If it had chosen to sell its product line, the company always would have remained a potential deep-pocketed codefendant in any future litigation against the company that purchased its products, technologies, and intellectual properties.

This is a frightening scenario that threatens existing companies that want to remain in the prolapse and incontinence product space. This is a threat to all future innovation for pelvic floor disorder therapies, and it discourages anyone or any company to invest in innovative products that may help our patients. In addition, it is a threat to our mission as physicians and surgeons to provide the very best therapies to our patients who deserve and expect us to do so.

Let me be crystal clear: Currently available midurethral slings are also in the crosshairs of plaintiff attorneys, and we are at risk of losing them as well if we do not act quickly, decisively, and as a unified force. More than 60% of the mesh lawsuits have been against midurethral slings, not the prolapse mesh kits focused on in the FDA Public Health notice of July 2011.1 In their class action lawsuits, plaintiff attorneys lumped together any procedure involving mesh in the pelvis to increase the number of their patient clients involved, which can drive up settlement awards, and they succeeded. In 2014, 128,030 sling procedures for incontinence were performed. Does anyone truly believe that the scientific literature supports that these patients would have been best served by 128,030 Burch procedures?

Some believe that Endo Pharmaceuticals’ placement of $1.5 billion in settlement funds was an error, “threw blood in the water,” and led to what has happened. Some believe that companies should fight every lawsuit to win and not settle. By the companies winning cases, the plaintiff attorneys lose their incentives to advertise and file more cases, as they only receive money if they win (or get a settlement) and are out of pocket for their costs and time if they lose.

Plaintiff attorneys have a responsibility to zealously advocate for their patient clients. Defense attorneys have a responsibility to zealously defend their corporate clients. We surgeons must realize that we have a responsibility to zealously advocate for our patients and do whatever is needed to best serve them and to protect the use (and development) of innovative products and therapies that give them value and a better quality of life.

Proactive steps surgeons can take


How do we do this? I suggest the following:

Implement expert oversight for litigation. Some of the large plaintiff awards were assisted by expert testimony based on a highly questionable scientific foundation. Judges give expert witnesses great latitude in their testimony, relying on the jury to discern the truth. I recommend that professional societies, such as the American College of Obstetricians and Gynecologists (ACOG), AmericanUrological Association (AUA), American Urogynecologic Society (AUGS), Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction (SUFU), and Society of Gynecologic Surgeons (SGS), establish a panel to review and carefully evaluate plaintiff expert testimony that has a questionable scientific foundation. If such a panel finds the scientific basis of testimony to be biased, untruthful, or unethical, the societies must publicly reprimand and sanction these experts. Only then would these experts no longer be used by the plaintiff attorneys.

 

 

Such an expert panel also could serve to educate the judges in federal and state courts on real science and not manufactured opinions.

We need juries that can understand the science so they truly can decide on cases involving complex technologies.

Support professional leadership efforts. I am encouraged that AUGS is working to establish guidelines for the management of mesh complications. I have seen cases in which a small amount of mesh exposure, best treated by limited local excision of the exposed mesh, instead has been treated by complete excision of every polypropylene fiber placed, resulting in an unnecessarily morbid surgery that leaves a scarred and small vagina. Notably, some of the surgeons who excise every polypropylene fiber are also working as plaintiff experts, who may then testify that the scarred, small vagina was caused by the mesh and the implanting surgeon.

Our professional society leadership and volunteer committees, especially from AUGS, have done a tremendous amount of work in assisting with the FDA-required 522 postmarket surveillance study research design; establishing a Pelvic Floor Disorders Registry (http://www.pfdr.org/) and a sling registry; and developing credentialing guidelines for sacrocolpopexy, transvaginal mesh, and slings. They deserve our gratitude and our participation in the registries. It would be a tragedy if all of this work does not lead to fully enrolled and completed 522 studies so that we can scientifically make decisions on products before any more treatment options are removed from the market.

Use video to scrutinize surgical outcomes data. The surgical literature shows extreme variance in outcomes and complications for vaginal mesh surgery, including exposure rates from 1% to 20% with the same mesh products. This only can be explained by depth of surgical dissection and implanting technique. Surgical outcomes have been shown to be related directly to surgical volumes and experience.2 I propose that going forward, any authors who publish their study outcomes and complication data on a surgical procedure must submit a surgical video that demonstrates exactly how the surgery was done.

Best serve the patient. We all need to rigorously follow our own surgery results, improve our techniques, and keep within our surgical skill sets. We need to share our outcome and complication data with our patients during the informed consent process, since we, and not the surgical literature, are performing their surgeries.

We need to be transparent and respectful of our colleagues with different skill sets, putting what is best for patients ahead of everything else. We must be mindful of our inherent biases toward surgeries we are personally very good at and comfortable with. We must respect that other surgeons may achieve better clinical outcomes than us with the same surgery. We need to teach each other the best reproducible surgical techniques to maximize outcomes and minimize complications.

We must humbly accept that not every surgeon can do every surgery (and should not try). If a patient would be best served with a surgery we are not skilled in, we must refer that patient to a colleague who is.

Encourage industry’s part in training. As new technologies are developed, we must be brutally honest with ourselves about whether or not we have the skill sets to use them. Industry must gauge the complexity of the surgical skill set necessary to use their products and limit attendance at their teaching labs to surgeons who have the skills required to obtain good outcomes and minimize complications.

We have reached the tipping pointWe have seen the enemy, and it is us. We now need to advocate zealously for our patients. We will succeed only if we keep what is best for our patients at the forefront of everything we do. We must today decide to lead or be led. If we do not lead, we will be led by others—to places that may not best serve our patients. Make no mistake, this is a tipping point. The future of midurethral slings and potential future innovations lie in our hands right now.

Notably, just days prior to Astora’s letter to its physician customers announcing the decision to discontinue all of its operations, the transobturator postanal sling system (TOPAS) for fecal incontinence, a product in the pipeline at Astora, received 3 unanimous 8-0 votes from an FDA device advisory panel on safety, efficacy, and benefit outweighing risk.3 The future of this technology is now uncertain as well.

I ask Endo Pharmaceuticals to reconsider abandoning all of its products and intellectual properties. I ask it to entertain discussions with large companies that want its technologies and intellectual properties and can indemnify it from future litigation. While there never is a guarantee of complete indemnification and the company does have a fiduciary responsibility to its shareholders, industry also has a responsibility to patients and surgeons to allow helpful technologies to persist.

 

 

According to Astora’s letter to its physician customers, “Patient health has always been our number one priority. As such, the business closure has been expedited so that you and your patients have the opportunity to assess alternative treatment options as soon as possible.”

That letter was dated February 29. I do not feel that 31 days’ notice is enough time for surgeons to assess—let alone learn and master—new treatment options. It would have been helpful if Endo Pharmaceuticals had given more notice and would at least have allowed other interested companies the option to purchase useful technologies and intellectual property to mitigate its rapid departure from the space. The company remains in the health care arena with its pharmaceutical products, and how it behaves leaving the surgical space will be noted and impact its brand and reputation.

Lessons from the morcellation situationHow quickly the power morcellator disappeared is a lesson to note very carefully, and it has important parallels to what we now face. I highly recommend that you read and study Lisa Rosenbaum’s article in New England Journal of Medicine, “N-of-1 policymaking—tragedy, trade-offs, and the demise of morcellation.”4 She eloquently discusses how decisions to terminate technologies based on passionate anecdotal stories and media campaigns, and not scientific study, does not serve the greater good. She explores lessons learned from the silicone breast implant saga as well, stating “the tendency to focus on eliminating an immediate harm while failing to consider potentially greater harms caused by that reaction is heightened by the power of tragic stories.”4

We need a calmer, less emotional, and balanced scientific approach to evaluate technologies. We need to consider what harm is done by not allowing new technologies to be adequately studied, improved, and implemented. Dr. Rosenbaum discusses what Cass Sunstein and Timur Kuran call the “availability cascade,” “a phenomenon whereby stories inform public perceptions and anyone challenging those perceptions is vilified.”4,5

No technology will ever be risk free, and there always will be some risks and complications that could be significant and chilling. However, patient autonomy requires a full discussion of a risk/benefit ratio that is based on science, and these scientific data must be allowed to be collected and learned. There even can be more significant and chilling complications from not using a technology as well.

It is challenging to speak science to emotion that is driven by tragic outcomes, but we can remain compassionate as we seek the science that will serve the greater good. Condemning proponents of carefully studied and properly implemented technologies as immoral is neither helpful nor constructive. Crushing the ability to thoroughly and scientifically study new technologies is not in the best interest of our patients with pelvic floor disorders.

It is time to reawaken the better angels of our natureWill we do the necessary work now no matter how uncomfortable it may make us feel? Or will we be intimidated and remain silent and disjointed? Will we participate in the registries and follow best clinical practice and credentialing guidelines? Will we hold ourselves and our colleagues accountable? It is time to remember why we became surgeons, and to start acting on our convictions.

To that end, we must ask ourselves, will we:

  • honor the Hippocratic Oath that we took in medical school and “respect the hard-won scientific gains of those physicians in whose steps I walk, and gladly share such knowledge as is mine with those who are to follow”6
  • “not be ashamed to say ‘I know not,’ nor will I fail to call in my colleagues when the skills of another are needed for a patient’s recovery”6
  • zealously advocate for our patients to ensure we can offer them the very best therapies
  • honor and respect the sacred trust patients place in us when we take them to the operating room
  • lead or be led?

This is personal for me. My mother struggled with pelvic floor disorders. I always felt it grossly unfair that women who chose to give us life could suffer for the rest of theirs for that decision. These women deserve our very best. The 40 million women with pelvic floor disorders deserve—and expect—that we lead. Will we?

I am hopeful that we will. I believe we will rise to today’s challenges and protect and fight for our patients. I believe that years from now we will look back and be proud that we did the right thing, and in so doing protected and encouraged innovations that significantly enhanced the quality of our patients’ lives. I believe patients will recognize our genuine efforts and in so doing give our profession the respect and trust that I feel has been diminished.

 

 

I believe we will draw the needed courage and resolve from the oath we recited in medical school and remember that, “If I do not violate this oath, may I enjoy life and art, respected while I live and remembered with affection thereafter. May I always act so as to preserve the finest traditions of my calling and may I long experience the joy of healing those who seek my help.”6

I do believe we will.

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

With the decision by Astora Women’s Health to discontinue operations as of March 31, 2016, we have lost midurethral slings and pelvic organ prolapse repair mesh, technologies and kits that have been among the most widely used and studied (Steve Blum, Senior Vice President and General Manager, Astora Women’s Health, and Kathie J. Lenzen, Senior Vice President and General Manager, Endo Device Operations, e-mail communication to physician customers, February 29, 2016). US Food and Drug Administration (FDA)−mandated 522 postmarket surveillance studies on these products have stopped enrolling patients, and we will therefore never glean the full science from fully enrolled and completed studies. This is a horrible precedent. How did this happen, and what do we need to do now to prevent further loss of helpful innovative technologies that benefit our patients with pelvic floor disorders?

Liability challenges precipitated shut downEndo Pharmaceuticals, the parent company of Astora (previously American Medical Systems Women’s Health division), last year offered $1.5 billion to settle a majority of its pending mesh litigation cases. I was told that the company wanted to put all of the negative noise from the relentless plaintiff attorney public media campaign behind it and refocus its attention on helping women with pelvic floor disorders.

Over the past year, 4 interested and capable buyers have been in discussions with the company to purchase and continue its product line. The company’s recent decision to not sell its product line and discontinue all operations was based on “the current legal environment and the ongoing challenges associated with vaginal mesh product liability” (Astora Women’s Health, e-mail communication to physician customers, February 29, 2016). If it had chosen to sell its product line, the company always would have remained a potential deep-pocketed codefendant in any future litigation against the company that purchased its products, technologies, and intellectual properties.

This is a frightening scenario that threatens existing companies that want to remain in the prolapse and incontinence product space. This is a threat to all future innovation for pelvic floor disorder therapies, and it discourages anyone or any company to invest in innovative products that may help our patients. In addition, it is a threat to our mission as physicians and surgeons to provide the very best therapies to our patients who deserve and expect us to do so.

Let me be crystal clear: Currently available midurethral slings are also in the crosshairs of plaintiff attorneys, and we are at risk of losing them as well if we do not act quickly, decisively, and as a unified force. More than 60% of the mesh lawsuits have been against midurethral slings, not the prolapse mesh kits focused on in the FDA Public Health notice of July 2011.1 In their class action lawsuits, plaintiff attorneys lumped together any procedure involving mesh in the pelvis to increase the number of their patient clients involved, which can drive up settlement awards, and they succeeded. In 2014, 128,030 sling procedures for incontinence were performed. Does anyone truly believe that the scientific literature supports that these patients would have been best served by 128,030 Burch procedures?

Some believe that Endo Pharmaceuticals’ placement of $1.5 billion in settlement funds was an error, “threw blood in the water,” and led to what has happened. Some believe that companies should fight every lawsuit to win and not settle. By the companies winning cases, the plaintiff attorneys lose their incentives to advertise and file more cases, as they only receive money if they win (or get a settlement) and are out of pocket for their costs and time if they lose.

Plaintiff attorneys have a responsibility to zealously advocate for their patient clients. Defense attorneys have a responsibility to zealously defend their corporate clients. We surgeons must realize that we have a responsibility to zealously advocate for our patients and do whatever is needed to best serve them and to protect the use (and development) of innovative products and therapies that give them value and a better quality of life.

Proactive steps surgeons can take


How do we do this? I suggest the following:

Implement expert oversight for litigation. Some of the large plaintiff awards were assisted by expert testimony based on a highly questionable scientific foundation. Judges give expert witnesses great latitude in their testimony, relying on the jury to discern the truth. I recommend that professional societies, such as the American College of Obstetricians and Gynecologists (ACOG), AmericanUrological Association (AUA), American Urogynecologic Society (AUGS), Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction (SUFU), and Society of Gynecologic Surgeons (SGS), establish a panel to review and carefully evaluate plaintiff expert testimony that has a questionable scientific foundation. If such a panel finds the scientific basis of testimony to be biased, untruthful, or unethical, the societies must publicly reprimand and sanction these experts. Only then would these experts no longer be used by the plaintiff attorneys.

 

 

Such an expert panel also could serve to educate the judges in federal and state courts on real science and not manufactured opinions.

We need juries that can understand the science so they truly can decide on cases involving complex technologies.

Support professional leadership efforts. I am encouraged that AUGS is working to establish guidelines for the management of mesh complications. I have seen cases in which a small amount of mesh exposure, best treated by limited local excision of the exposed mesh, instead has been treated by complete excision of every polypropylene fiber placed, resulting in an unnecessarily morbid surgery that leaves a scarred and small vagina. Notably, some of the surgeons who excise every polypropylene fiber are also working as plaintiff experts, who may then testify that the scarred, small vagina was caused by the mesh and the implanting surgeon.

Our professional society leadership and volunteer committees, especially from AUGS, have done a tremendous amount of work in assisting with the FDA-required 522 postmarket surveillance study research design; establishing a Pelvic Floor Disorders Registry (http://www.pfdr.org/) and a sling registry; and developing credentialing guidelines for sacrocolpopexy, transvaginal mesh, and slings. They deserve our gratitude and our participation in the registries. It would be a tragedy if all of this work does not lead to fully enrolled and completed 522 studies so that we can scientifically make decisions on products before any more treatment options are removed from the market.

Use video to scrutinize surgical outcomes data. The surgical literature shows extreme variance in outcomes and complications for vaginal mesh surgery, including exposure rates from 1% to 20% with the same mesh products. This only can be explained by depth of surgical dissection and implanting technique. Surgical outcomes have been shown to be related directly to surgical volumes and experience.2 I propose that going forward, any authors who publish their study outcomes and complication data on a surgical procedure must submit a surgical video that demonstrates exactly how the surgery was done.

Best serve the patient. We all need to rigorously follow our own surgery results, improve our techniques, and keep within our surgical skill sets. We need to share our outcome and complication data with our patients during the informed consent process, since we, and not the surgical literature, are performing their surgeries.

We need to be transparent and respectful of our colleagues with different skill sets, putting what is best for patients ahead of everything else. We must be mindful of our inherent biases toward surgeries we are personally very good at and comfortable with. We must respect that other surgeons may achieve better clinical outcomes than us with the same surgery. We need to teach each other the best reproducible surgical techniques to maximize outcomes and minimize complications.

We must humbly accept that not every surgeon can do every surgery (and should not try). If a patient would be best served with a surgery we are not skilled in, we must refer that patient to a colleague who is.

Encourage industry’s part in training. As new technologies are developed, we must be brutally honest with ourselves about whether or not we have the skill sets to use them. Industry must gauge the complexity of the surgical skill set necessary to use their products and limit attendance at their teaching labs to surgeons who have the skills required to obtain good outcomes and minimize complications.

We have reached the tipping pointWe have seen the enemy, and it is us. We now need to advocate zealously for our patients. We will succeed only if we keep what is best for our patients at the forefront of everything we do. We must today decide to lead or be led. If we do not lead, we will be led by others—to places that may not best serve our patients. Make no mistake, this is a tipping point. The future of midurethral slings and potential future innovations lie in our hands right now.

Notably, just days prior to Astora’s letter to its physician customers announcing the decision to discontinue all of its operations, the transobturator postanal sling system (TOPAS) for fecal incontinence, a product in the pipeline at Astora, received 3 unanimous 8-0 votes from an FDA device advisory panel on safety, efficacy, and benefit outweighing risk.3 The future of this technology is now uncertain as well.

I ask Endo Pharmaceuticals to reconsider abandoning all of its products and intellectual properties. I ask it to entertain discussions with large companies that want its technologies and intellectual properties and can indemnify it from future litigation. While there never is a guarantee of complete indemnification and the company does have a fiduciary responsibility to its shareholders, industry also has a responsibility to patients and surgeons to allow helpful technologies to persist.

 

 

According to Astora’s letter to its physician customers, “Patient health has always been our number one priority. As such, the business closure has been expedited so that you and your patients have the opportunity to assess alternative treatment options as soon as possible.”

That letter was dated February 29. I do not feel that 31 days’ notice is enough time for surgeons to assess—let alone learn and master—new treatment options. It would have been helpful if Endo Pharmaceuticals had given more notice and would at least have allowed other interested companies the option to purchase useful technologies and intellectual property to mitigate its rapid departure from the space. The company remains in the health care arena with its pharmaceutical products, and how it behaves leaving the surgical space will be noted and impact its brand and reputation.

Lessons from the morcellation situationHow quickly the power morcellator disappeared is a lesson to note very carefully, and it has important parallels to what we now face. I highly recommend that you read and study Lisa Rosenbaum’s article in New England Journal of Medicine, “N-of-1 policymaking—tragedy, trade-offs, and the demise of morcellation.”4 She eloquently discusses how decisions to terminate technologies based on passionate anecdotal stories and media campaigns, and not scientific study, does not serve the greater good. She explores lessons learned from the silicone breast implant saga as well, stating “the tendency to focus on eliminating an immediate harm while failing to consider potentially greater harms caused by that reaction is heightened by the power of tragic stories.”4

We need a calmer, less emotional, and balanced scientific approach to evaluate technologies. We need to consider what harm is done by not allowing new technologies to be adequately studied, improved, and implemented. Dr. Rosenbaum discusses what Cass Sunstein and Timur Kuran call the “availability cascade,” “a phenomenon whereby stories inform public perceptions and anyone challenging those perceptions is vilified.”4,5

No technology will ever be risk free, and there always will be some risks and complications that could be significant and chilling. However, patient autonomy requires a full discussion of a risk/benefit ratio that is based on science, and these scientific data must be allowed to be collected and learned. There even can be more significant and chilling complications from not using a technology as well.

It is challenging to speak science to emotion that is driven by tragic outcomes, but we can remain compassionate as we seek the science that will serve the greater good. Condemning proponents of carefully studied and properly implemented technologies as immoral is neither helpful nor constructive. Crushing the ability to thoroughly and scientifically study new technologies is not in the best interest of our patients with pelvic floor disorders.

It is time to reawaken the better angels of our natureWill we do the necessary work now no matter how uncomfortable it may make us feel? Or will we be intimidated and remain silent and disjointed? Will we participate in the registries and follow best clinical practice and credentialing guidelines? Will we hold ourselves and our colleagues accountable? It is time to remember why we became surgeons, and to start acting on our convictions.

To that end, we must ask ourselves, will we:

  • honor the Hippocratic Oath that we took in medical school and “respect the hard-won scientific gains of those physicians in whose steps I walk, and gladly share such knowledge as is mine with those who are to follow”6
  • “not be ashamed to say ‘I know not,’ nor will I fail to call in my colleagues when the skills of another are needed for a patient’s recovery”6
  • zealously advocate for our patients to ensure we can offer them the very best therapies
  • honor and respect the sacred trust patients place in us when we take them to the operating room
  • lead or be led?

This is personal for me. My mother struggled with pelvic floor disorders. I always felt it grossly unfair that women who chose to give us life could suffer for the rest of theirs for that decision. These women deserve our very best. The 40 million women with pelvic floor disorders deserve—and expect—that we lead. Will we?

I am hopeful that we will. I believe we will rise to today’s challenges and protect and fight for our patients. I believe that years from now we will look back and be proud that we did the right thing, and in so doing protected and encouraged innovations that significantly enhanced the quality of our patients’ lives. I believe patients will recognize our genuine efforts and in so doing give our profession the respect and trust that I feel has been diminished.

 

 

I believe we will draw the needed courage and resolve from the oath we recited in medical school and remember that, “If I do not violate this oath, may I enjoy life and art, respected while I live and remembered with affection thereafter. May I always act so as to preserve the finest traditions of my calling and may I long experience the joy of healing those who seek my help.”6

I do believe we will.

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References
  1. Food and Drug Administration. Urogynecologic surgical mesh: update on the safety and effectiveness of transvaginal placement for pelvic organ prolapse. http://www.fda.gov/downloads/MedicalDevices/Safety/AlertsandNotices/UCM262760.pdf. Published July 2011. Accessed March 21, 2016.
  2. Meyer CP, Trinh QD. Complications after surgery for stress urinary incontinence: untangling a mesh of uncertainties. JAMA Surg. 2015;150(12):1175-1176.
  3. Food and Drug Administration Center for Devices and Radiological Health. Brief summary of the Gastroenterology and Urology Devices Panel of the Medical Devices Advisory Committee Meeting--February 25, 2016. http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/MedicalDevices/MedicalDevicesAdvisoryCommittee/Gastroenterology-UrologyDevicesPanel/UCM488397.pdf. Accessed March 21, 2016.
  4. Rosenbaum L. N-of-1--tragedy, trade-offs, and the demise of morcellation. N Engl J Med. 2016;374(10):986-990.
  5. Kuran T, Sunstein C. Availability cascades and risk regulation. Stanford Law Rev. 1999;51:683-768.
  6. Hippocratic oath, modern version. Adapted by Louis Lasagna. 1964. Johns Hopkins Sheridan Libraries and University Museums website. http://guides.library.jhu.edu/c.php?g=202502&p=1335759. Updated December 8, 2015. Accessed March 22, 2016.
References
  1. Food and Drug Administration. Urogynecologic surgical mesh: update on the safety and effectiveness of transvaginal placement for pelvic organ prolapse. http://www.fda.gov/downloads/MedicalDevices/Safety/AlertsandNotices/UCM262760.pdf. Published July 2011. Accessed March 21, 2016.
  2. Meyer CP, Trinh QD. Complications after surgery for stress urinary incontinence: untangling a mesh of uncertainties. JAMA Surg. 2015;150(12):1175-1176.
  3. Food and Drug Administration Center for Devices and Radiological Health. Brief summary of the Gastroenterology and Urology Devices Panel of the Medical Devices Advisory Committee Meeting--February 25, 2016. http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/MedicalDevices/MedicalDevicesAdvisoryCommittee/Gastroenterology-UrologyDevicesPanel/UCM488397.pdf. Accessed March 21, 2016.
  4. Rosenbaum L. N-of-1--tragedy, trade-offs, and the demise of morcellation. N Engl J Med. 2016;374(10):986-990.
  5. Kuran T, Sunstein C. Availability cascades and risk regulation. Stanford Law Rev. 1999;51:683-768.
  6. Hippocratic oath, modern version. Adapted by Louis Lasagna. 1964. Johns Hopkins Sheridan Libraries and University Museums website. http://guides.library.jhu.edu/c.php?g=202502&p=1335759. Updated December 8, 2015. Accessed March 22, 2016.
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The crushing of innovation for treating female pelvic floor disorders: A story of “lead or be led”
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Andrew Cassidenti MD, pelvic floor disorders, Astora Women's Health, midurethral slings, pelvic organ prolapse repair mesh, US Food and Drug Administration, FDA, Endo Pharmaceuticals, litigation, FDA Public Health notice, polypropylene, training, morcellation
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Janelle Yates: Author, editor, women’s health expert

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Janelle Yates: Author, editor, women’s health expert

As readers of OBG Management, you are very familiar with the name Janelle Yates. Janelle was an editor and writer for the journal for more than 15 years. Her byline has graced articles on, among other topics, obstetrics, liability, menopause, and tissue extraction. You may recall the 3-part series on endometriosis she authored beginning in April 2015.1 She worked with several expert surgeons to deliver an in-depth look at diagnosis, treatment, and related infertility. She interviewed presidents of the American Congress of Obstetricians and Gynecologists (ACOG)2 and worked with ACOG staff, including Lucia DiVenere, MA, on legislative articles for OBG Management, helping to bring new policies and practice changes to the forefront for readers.3,4

One topic that was of particular, personal interest to Janelle was breast cancer. She lived on and off with, but always under the shadow of, breast cancer for more than 8 years. This past December, Janelle developed a rare and incurable cancer of the nervous system, which took her life in January.

Janelle’s contributions to OBG Management Janelle worked closely with Robert L. Barbieri, MD, and the OBG Management Board of Editors on writing and editing projects. In fact, Janelle began as Senior Associate Editor with the journal in 2000, only a few months after Dr. Barbieri was inaugurated as Editor in Chief.

“Janelle was exceptionally skillful in polishing a rough manuscript into a superbly crafted article,” says Dr. Barbieri. “The physician authors with whom she collaborated were in awe of her talent and recognized the value of her contributions to advancing women’s health care.”

“Janelle approached the craft of writing like an artist, always searching for an additional layer of deeper meaning and insight. Her strength of character and myriad life experiences gave her unique skills in exploring, questioning, and improving the content that was brought forth.”

“She and I had an ongoing conversation on the pros and cons of being concise,” says Dr. Barbieri. “I would ask her the hypothetical, ‘If an author could effectively deliver his or her core message in a 1-page article, why take 3 pages to do so?’ As a counterpoint, her perspective was that if you could concisely make your point in 3 pages, it might be even better for an author to expand their article to 9 pages to help the reader achieve a deeper level of understanding and insight.”

In May 2013, Barbara S. Levy, MD, after serving for 17 years as an OBG Management Board of Editors member, assumed the position of Vice President for Health Policy at ACOG, and resigned her position on the journal’s editorial board. Janelle collaborated with Dr. Levy on an article commemorating her lifetime of service to women.5 Dr. Levy recalls that article, and the numerous others she partnered on with Janelle:

“She was the quintessential professional. We are professional doctors, but Janelle was a professional writer and editor. She had an ability to, when speaking with us, get the best out of us, and take what we said and translate that into a cogent, crisp presentation that was really meaningful to readers. Having her perspective as a partner in writing helped me reach a core in readers that I believe I otherwise would not have been able to reach.”

Andrew M. Kaunitz, MD, Board of Editors member since 2006, describes Janelle as “a wonderful colleague and person.”

“My early perceptions of Janelle,” he says, “relate to her tremendous skills as a medical writer. Over time, however, I recognized that, in addition to her wonderful talents as a writer, she brought what I can only call a sense of grace to each interaction that I had with her. I continue to find it hard to imagine a world without her.”

“During my 15-year excursion as the Editor in Chief of OBG Management,” says Dr. Barbieri, “Janelle was the perfect guide and travel companion. She will always be in my thoughts and heart.”

In 2011, seeking a change of pace and quality-of-life move, Janelle Yates relocated from the metro New York City area to Asheville, North Carolina. By her account, she settled in quickly and comfortably. She enjoyed the lifestyle, spending much time outdoors. She also attended writing workshops, enjoying poetry in particular. "There's more to life than the climb. There's the view," states an Asheville tourism website. This is a photograph of Asheville, as seen from Janelle's camera lens.

Janelle’s memory enduresJanelle’s colleagues at the journal office and the Board of Editors honor her dedication to OBG Management, and truly to women’s health in general, in a permanent way in the pages of OBG Management. Janelle’s name has been added to the journal’s staff masthead with the title, “Editor Emeritus.” We feel this is a small but sincere gesture from those of us who have had the immense pleasure and incredible honor to work with Janelle over the years. 

 

 

John Baranowski, who served as Editor of OBG Management from 2008 until mid-2012, eloquently states: “As her supervisor for several years, I was the initial recipient of tens of thousands of her well-ordered, well-chosen, and insightful words. At this time, it is hard for me to find words to offer on her behalf. Her outsized skill, her easeful manner, and her certain success at improving the care that physicians provide—those are humbling, silencing remembrances; things of such great value that words just do not work as tribute.”

Dianne Reynolds, Publisher of OBG Management, has known Janelle since 2008 and says that she feels blessed and fortunate to have had Janelle in her life on more than just a professional level. “I will cherish her memory forever,” she says.

OBG Management Managing Editor Deborah Reale joined the journal staff in 2010. “Words connected Janelle and I not only in our editorial work but also personally, through our shared love of poetry,” she says. Unbeknownst to many, Janelle was a published poet. She also wrote two biographies, of Woodie Guthrie and Zora Neale Hurston, while working many years ago as an editor for Ward Hill Press.

Like so many others, I feel privileged to have worked with Janelle. Her work was fearless. Whether it was an audio interview with gynecologic oncologist Eva Chalas, MD, on preserving minimally invasive approaches to gynecologic surgery6 or a Q&A article on liability claims in obstetrics,7 Janelle did it brilliantly. She applied her years of knowledge and experience to each piece she wrote or edited, always bringing an expert’s best voice forward. In fact, Dianne Reynolds says, “Janelle once told me that she had dreamed of being a doctor, and she imagined herself pushing through hospital doors on her way to treat patients. Instead, Janelle used her acquired medical knowledge in women’s health and writing acumen to assist physicians in explaining their techniques for the benefit of their colleagues.”

Janelle’s siblings Diana and Kent Yates, and her daughter Adrienne Cano, say they have been aware of how supportive the OBG Management extended team has been to Janelle. In speaking with Board of Editors member, Cheryl B. Iglesia, MD, Diana says, “This was such a blessing in her life. It was a rare thing, the kind of relationship she had with all of you. We appreciate so very much your nurturing of her talents and of her as a person.”

Janelle meant a great deal to her colleagues, of course because of her superb work and wise perspective, but also because of her warmth and gentle ease. Simply put, Janelle was a wonderful person to be near.

“She was absolutely amazing and will be greatly missed both personally and professionally,” says 10-year OBG Management board member JoAnn V. Pinkerton, MD.

Dr. Iglesia asserts, “Janelle never will be forgotten. She truly has left a legacy of very important articles for many generations.”

Janelle, we can only hope that with your name on the masthead, readers of OBG Management in future generations will have the privilege of your touch. May that touch bring them the gift of journalistic accuracy, professional integrity, spot-on syntax and, above all, compelling reading. 

Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

References
  1. Yates J. Endometriosis: expert answers to 7 crucial questions on diagnosis. OBG Manag. 2015;27(4):39–40, 42–46.
  2. Yates J. ACOG presidents highlight their visions for the College at the 2015 clinical meeting. OBG Manag. 2015;27(5).
  3. Yates J, DiVenere L. It's a Republican majority following midterm election results. How will that affect the ACA and women's health? OBG Manag. 2014(26):12.
  4. DiVenere L. The well-woman visit comes of age: what it offers, how we got here. OBG Manag. 2016;28(1):25–29.
  5. Yates J. A lifetime of service to women and their health--the career of Barbara S. Levy, MD. OBG Manag. 2015;25(5):17–20.
  6. Yates J. 46 experts pen open letter to the FDA on uterine power morcellation. An interview with Eva Chalas, MD. OBG Manag. 2015;12.  
  7. Yates J. A survey of liability claims against obstetric providers highlights major areas of contention. OBG Manag. 2015; 27(8):40–42.
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    As readers of OBG Management, you are very familiar with the name Janelle Yates. Janelle was an editor and writer for the journal for more than 15 years. Her byline has graced articles on, among other topics, obstetrics, liability, menopause, and tissue extraction. You may recall the 3-part series on endometriosis she authored beginning in April 2015.1 She worked with several expert surgeons to deliver an in-depth look at diagnosis, treatment, and related infertility. She interviewed presidents of the American Congress of Obstetricians and Gynecologists (ACOG)2 and worked with ACOG staff, including Lucia DiVenere, MA, on legislative articles for OBG Management, helping to bring new policies and practice changes to the forefront for readers.3,4

    One topic that was of particular, personal interest to Janelle was breast cancer. She lived on and off with, but always under the shadow of, breast cancer for more than 8 years. This past December, Janelle developed a rare and incurable cancer of the nervous system, which took her life in January.

    Janelle’s contributions to OBG Management Janelle worked closely with Robert L. Barbieri, MD, and the OBG Management Board of Editors on writing and editing projects. In fact, Janelle began as Senior Associate Editor with the journal in 2000, only a few months after Dr. Barbieri was inaugurated as Editor in Chief.

    “Janelle was exceptionally skillful in polishing a rough manuscript into a superbly crafted article,” says Dr. Barbieri. “The physician authors with whom she collaborated were in awe of her talent and recognized the value of her contributions to advancing women’s health care.”

    “Janelle approached the craft of writing like an artist, always searching for an additional layer of deeper meaning and insight. Her strength of character and myriad life experiences gave her unique skills in exploring, questioning, and improving the content that was brought forth.”

    “She and I had an ongoing conversation on the pros and cons of being concise,” says Dr. Barbieri. “I would ask her the hypothetical, ‘If an author could effectively deliver his or her core message in a 1-page article, why take 3 pages to do so?’ As a counterpoint, her perspective was that if you could concisely make your point in 3 pages, it might be even better for an author to expand their article to 9 pages to help the reader achieve a deeper level of understanding and insight.”

    In May 2013, Barbara S. Levy, MD, after serving for 17 years as an OBG Management Board of Editors member, assumed the position of Vice President for Health Policy at ACOG, and resigned her position on the journal’s editorial board. Janelle collaborated with Dr. Levy on an article commemorating her lifetime of service to women.5 Dr. Levy recalls that article, and the numerous others she partnered on with Janelle:

    “She was the quintessential professional. We are professional doctors, but Janelle was a professional writer and editor. She had an ability to, when speaking with us, get the best out of us, and take what we said and translate that into a cogent, crisp presentation that was really meaningful to readers. Having her perspective as a partner in writing helped me reach a core in readers that I believe I otherwise would not have been able to reach.”

    Andrew M. Kaunitz, MD, Board of Editors member since 2006, describes Janelle as “a wonderful colleague and person.”

    “My early perceptions of Janelle,” he says, “relate to her tremendous skills as a medical writer. Over time, however, I recognized that, in addition to her wonderful talents as a writer, she brought what I can only call a sense of grace to each interaction that I had with her. I continue to find it hard to imagine a world without her.”

    “During my 15-year excursion as the Editor in Chief of OBG Management,” says Dr. Barbieri, “Janelle was the perfect guide and travel companion. She will always be in my thoughts and heart.”

    In 2011, seeking a change of pace and quality-of-life move, Janelle Yates relocated from the metro New York City area to Asheville, North Carolina. By her account, she settled in quickly and comfortably. She enjoyed the lifestyle, spending much time outdoors. She also attended writing workshops, enjoying poetry in particular. "There's more to life than the climb. There's the view," states an Asheville tourism website. This is a photograph of Asheville, as seen from Janelle's camera lens.

    Janelle’s memory enduresJanelle’s colleagues at the journal office and the Board of Editors honor her dedication to OBG Management, and truly to women’s health in general, in a permanent way in the pages of OBG Management. Janelle’s name has been added to the journal’s staff masthead with the title, “Editor Emeritus.” We feel this is a small but sincere gesture from those of us who have had the immense pleasure and incredible honor to work with Janelle over the years. 

     

     

    John Baranowski, who served as Editor of OBG Management from 2008 until mid-2012, eloquently states: “As her supervisor for several years, I was the initial recipient of tens of thousands of her well-ordered, well-chosen, and insightful words. At this time, it is hard for me to find words to offer on her behalf. Her outsized skill, her easeful manner, and her certain success at improving the care that physicians provide—those are humbling, silencing remembrances; things of such great value that words just do not work as tribute.”

    Dianne Reynolds, Publisher of OBG Management, has known Janelle since 2008 and says that she feels blessed and fortunate to have had Janelle in her life on more than just a professional level. “I will cherish her memory forever,” she says.

    OBG Management Managing Editor Deborah Reale joined the journal staff in 2010. “Words connected Janelle and I not only in our editorial work but also personally, through our shared love of poetry,” she says. Unbeknownst to many, Janelle was a published poet. She also wrote two biographies, of Woodie Guthrie and Zora Neale Hurston, while working many years ago as an editor for Ward Hill Press.

    Like so many others, I feel privileged to have worked with Janelle. Her work was fearless. Whether it was an audio interview with gynecologic oncologist Eva Chalas, MD, on preserving minimally invasive approaches to gynecologic surgery6 or a Q&A article on liability claims in obstetrics,7 Janelle did it brilliantly. She applied her years of knowledge and experience to each piece she wrote or edited, always bringing an expert’s best voice forward. In fact, Dianne Reynolds says, “Janelle once told me that she had dreamed of being a doctor, and she imagined herself pushing through hospital doors on her way to treat patients. Instead, Janelle used her acquired medical knowledge in women’s health and writing acumen to assist physicians in explaining their techniques for the benefit of their colleagues.”

    Janelle’s siblings Diana and Kent Yates, and her daughter Adrienne Cano, say they have been aware of how supportive the OBG Management extended team has been to Janelle. In speaking with Board of Editors member, Cheryl B. Iglesia, MD, Diana says, “This was such a blessing in her life. It was a rare thing, the kind of relationship she had with all of you. We appreciate so very much your nurturing of her talents and of her as a person.”

    Janelle meant a great deal to her colleagues, of course because of her superb work and wise perspective, but also because of her warmth and gentle ease. Simply put, Janelle was a wonderful person to be near.

    “She was absolutely amazing and will be greatly missed both personally and professionally,” says 10-year OBG Management board member JoAnn V. Pinkerton, MD.

    Dr. Iglesia asserts, “Janelle never will be forgotten. She truly has left a legacy of very important articles for many generations.”

    Janelle, we can only hope that with your name on the masthead, readers of OBG Management in future generations will have the privilege of your touch. May that touch bring them the gift of journalistic accuracy, professional integrity, spot-on syntax and, above all, compelling reading. 

    Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

    As readers of OBG Management, you are very familiar with the name Janelle Yates. Janelle was an editor and writer for the journal for more than 15 years. Her byline has graced articles on, among other topics, obstetrics, liability, menopause, and tissue extraction. You may recall the 3-part series on endometriosis she authored beginning in April 2015.1 She worked with several expert surgeons to deliver an in-depth look at diagnosis, treatment, and related infertility. She interviewed presidents of the American Congress of Obstetricians and Gynecologists (ACOG)2 and worked with ACOG staff, including Lucia DiVenere, MA, on legislative articles for OBG Management, helping to bring new policies and practice changes to the forefront for readers.3,4

    One topic that was of particular, personal interest to Janelle was breast cancer. She lived on and off with, but always under the shadow of, breast cancer for more than 8 years. This past December, Janelle developed a rare and incurable cancer of the nervous system, which took her life in January.

    Janelle’s contributions to OBG Management Janelle worked closely with Robert L. Barbieri, MD, and the OBG Management Board of Editors on writing and editing projects. In fact, Janelle began as Senior Associate Editor with the journal in 2000, only a few months after Dr. Barbieri was inaugurated as Editor in Chief.

    “Janelle was exceptionally skillful in polishing a rough manuscript into a superbly crafted article,” says Dr. Barbieri. “The physician authors with whom she collaborated were in awe of her talent and recognized the value of her contributions to advancing women’s health care.”

    “Janelle approached the craft of writing like an artist, always searching for an additional layer of deeper meaning and insight. Her strength of character and myriad life experiences gave her unique skills in exploring, questioning, and improving the content that was brought forth.”

    “She and I had an ongoing conversation on the pros and cons of being concise,” says Dr. Barbieri. “I would ask her the hypothetical, ‘If an author could effectively deliver his or her core message in a 1-page article, why take 3 pages to do so?’ As a counterpoint, her perspective was that if you could concisely make your point in 3 pages, it might be even better for an author to expand their article to 9 pages to help the reader achieve a deeper level of understanding and insight.”

    In May 2013, Barbara S. Levy, MD, after serving for 17 years as an OBG Management Board of Editors member, assumed the position of Vice President for Health Policy at ACOG, and resigned her position on the journal’s editorial board. Janelle collaborated with Dr. Levy on an article commemorating her lifetime of service to women.5 Dr. Levy recalls that article, and the numerous others she partnered on with Janelle:

    “She was the quintessential professional. We are professional doctors, but Janelle was a professional writer and editor. She had an ability to, when speaking with us, get the best out of us, and take what we said and translate that into a cogent, crisp presentation that was really meaningful to readers. Having her perspective as a partner in writing helped me reach a core in readers that I believe I otherwise would not have been able to reach.”

    Andrew M. Kaunitz, MD, Board of Editors member since 2006, describes Janelle as “a wonderful colleague and person.”

    “My early perceptions of Janelle,” he says, “relate to her tremendous skills as a medical writer. Over time, however, I recognized that, in addition to her wonderful talents as a writer, she brought what I can only call a sense of grace to each interaction that I had with her. I continue to find it hard to imagine a world without her.”

    “During my 15-year excursion as the Editor in Chief of OBG Management,” says Dr. Barbieri, “Janelle was the perfect guide and travel companion. She will always be in my thoughts and heart.”

    In 2011, seeking a change of pace and quality-of-life move, Janelle Yates relocated from the metro New York City area to Asheville, North Carolina. By her account, she settled in quickly and comfortably. She enjoyed the lifestyle, spending much time outdoors. She also attended writing workshops, enjoying poetry in particular. "There's more to life than the climb. There's the view," states an Asheville tourism website. This is a photograph of Asheville, as seen from Janelle's camera lens.

    Janelle’s memory enduresJanelle’s colleagues at the journal office and the Board of Editors honor her dedication to OBG Management, and truly to women’s health in general, in a permanent way in the pages of OBG Management. Janelle’s name has been added to the journal’s staff masthead with the title, “Editor Emeritus.” We feel this is a small but sincere gesture from those of us who have had the immense pleasure and incredible honor to work with Janelle over the years. 

     

     

    John Baranowski, who served as Editor of OBG Management from 2008 until mid-2012, eloquently states: “As her supervisor for several years, I was the initial recipient of tens of thousands of her well-ordered, well-chosen, and insightful words. At this time, it is hard for me to find words to offer on her behalf. Her outsized skill, her easeful manner, and her certain success at improving the care that physicians provide—those are humbling, silencing remembrances; things of such great value that words just do not work as tribute.”

    Dianne Reynolds, Publisher of OBG Management, has known Janelle since 2008 and says that she feels blessed and fortunate to have had Janelle in her life on more than just a professional level. “I will cherish her memory forever,” she says.

    OBG Management Managing Editor Deborah Reale joined the journal staff in 2010. “Words connected Janelle and I not only in our editorial work but also personally, through our shared love of poetry,” she says. Unbeknownst to many, Janelle was a published poet. She also wrote two biographies, of Woodie Guthrie and Zora Neale Hurston, while working many years ago as an editor for Ward Hill Press.

    Like so many others, I feel privileged to have worked with Janelle. Her work was fearless. Whether it was an audio interview with gynecologic oncologist Eva Chalas, MD, on preserving minimally invasive approaches to gynecologic surgery6 or a Q&A article on liability claims in obstetrics,7 Janelle did it brilliantly. She applied her years of knowledge and experience to each piece she wrote or edited, always bringing an expert’s best voice forward. In fact, Dianne Reynolds says, “Janelle once told me that she had dreamed of being a doctor, and she imagined herself pushing through hospital doors on her way to treat patients. Instead, Janelle used her acquired medical knowledge in women’s health and writing acumen to assist physicians in explaining their techniques for the benefit of their colleagues.”

    Janelle’s siblings Diana and Kent Yates, and her daughter Adrienne Cano, say they have been aware of how supportive the OBG Management extended team has been to Janelle. In speaking with Board of Editors member, Cheryl B. Iglesia, MD, Diana says, “This was such a blessing in her life. It was a rare thing, the kind of relationship she had with all of you. We appreciate so very much your nurturing of her talents and of her as a person.”

    Janelle meant a great deal to her colleagues, of course because of her superb work and wise perspective, but also because of her warmth and gentle ease. Simply put, Janelle was a wonderful person to be near.

    “She was absolutely amazing and will be greatly missed both personally and professionally,” says 10-year OBG Management board member JoAnn V. Pinkerton, MD.

    Dr. Iglesia asserts, “Janelle never will be forgotten. She truly has left a legacy of very important articles for many generations.”

    Janelle, we can only hope that with your name on the masthead, readers of OBG Management in future generations will have the privilege of your touch. May that touch bring them the gift of journalistic accuracy, professional integrity, spot-on syntax and, above all, compelling reading. 

    Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

    References
    1. Yates J. Endometriosis: expert answers to 7 crucial questions on diagnosis. OBG Manag. 2015;27(4):39–40, 42–46.
    2. Yates J. ACOG presidents highlight their visions for the College at the 2015 clinical meeting. OBG Manag. 2015;27(5).
    3. Yates J, DiVenere L. It's a Republican majority following midterm election results. How will that affect the ACA and women's health? OBG Manag. 2014(26):12.
    4. DiVenere L. The well-woman visit comes of age: what it offers, how we got here. OBG Manag. 2016;28(1):25–29.
    5. Yates J. A lifetime of service to women and their health--the career of Barbara S. Levy, MD. OBG Manag. 2015;25(5):17–20.
    6. Yates J. 46 experts pen open letter to the FDA on uterine power morcellation. An interview with Eva Chalas, MD. OBG Manag. 2015;12.  
    7. Yates J. A survey of liability claims against obstetric providers highlights major areas of contention. OBG Manag. 2015; 27(8):40–42.
      References
      1. Yates J. Endometriosis: expert answers to 7 crucial questions on diagnosis. OBG Manag. 2015;27(4):39–40, 42–46.
      2. Yates J. ACOG presidents highlight their visions for the College at the 2015 clinical meeting. OBG Manag. 2015;27(5).
      3. Yates J, DiVenere L. It's a Republican majority following midterm election results. How will that affect the ACA and women's health? OBG Manag. 2014(26):12.
      4. DiVenere L. The well-woman visit comes of age: what it offers, how we got here. OBG Manag. 2016;28(1):25–29.
      5. Yates J. A lifetime of service to women and their health--the career of Barbara S. Levy, MD. OBG Manag. 2015;25(5):17–20.
      6. Yates J. 46 experts pen open letter to the FDA on uterine power morcellation. An interview with Eva Chalas, MD. OBG Manag. 2015;12.  
      7. Yates J. A survey of liability claims against obstetric providers highlights major areas of contention. OBG Manag. 2015; 27(8):40–42.
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        “CAN WE SOLVE THE PROBLEM OF INADEQUATE CONTRACEPTION FOR WOMEN AT HIGH RISK FOR ADVERSE PREGNANCY OUTCOMES?”
        ROBERT L. BARBIERI, MD (EDITORIAL; FEBRUARY 2016)

        “Contraception as a vital sign”
        In his recent Editorial Dr. Barbieri asked for ideas to improve contraception counseling for women with medical problems that put them at risk for adverse pregnancy outcomes. His idea of “contraception status as a vital sign” is applied in our very large group practice in Northern California using the electronic health record (EHR).

        Over 10 years ago, I attempted to put a hard stop in the EHR to require documentation that women of reproductive age be evaluated for contraception. This scheme seemed to be too cumbersome and was rejected at the time.

        The idea was not abandoned, however. Medical assistants must now document a means of contraception for each woman of reproductive age. This does not guarantee that a physician will look at the information, but it is a step in the right direction.

        My hope is that someday we will have automatic contraception as a vital sign documentation for all reproductive-age women, including “children” who are documented as menstruating. In the meantime, thank you for highlighting this critical issue.

        Tia Will, MD
        Sacramento, California

         

        Reduce reimbursement when standard of care is not met
        When I read Dr. Barbieri’s Editorial, I was surprised that he avoided the elephant in the room: the current political climate of denying contraception to women, including the defunding of Planned Parenthood and the Supreme Court decision to allow corporations to deny contraceptive coverage for religious issues.

        Although I am not currently involved in women’s health, I do work under the auspices of a large Catholic health care system in the United States. Here, all employees are prohibited from providing contraceptive procedures, prescriptions, or even counseling unless it is a Natural Family Planning/ Fertility Awareness Method. These employees also are not provided individual contraceptive health coverage by their employer; this coverage is provided by the federal government thanks to the Affordable Care Act.

        Contraception is part of the standard of care for women. However, many women are denied this standard of care due to “religious” reasons, which I suspect may be partially financial and/or political in nature. 

        This issue must therefore be addressed by political and financial means. My recommendation is for legislation that mandates lower reimbursement rates for health care systems and providers that refuse to offer full contraceptive options to women. If they do not provide full care, they do not get full payment for services. The money saved by reduced reimbursements could then fund federal women’s health clinics in areas dominated by “religious” health care systems that would guarantee full reproductive health options to all.

        Name and practice location withheld

         

        Remove Medicaid barriers to postpartum sterilization
        An issue not addressed in Dr. Barbieri’s Editorial is that of women who, after appropriate and extensive counseling by a physician and with a full understanding of the reproductive implications and the possible adverse effect of additional pregnancies on their health and life, decide for permanent contraception. A woman’s opportunity to obtain postpartum or interval contraceptive procedure varies by her insurance coverage, which is indirectly associated with her ethnicity or race.

        In 1979, Medicaid Title XIX imposed a 30-day interval between the signing of the sterilization informed consent by the patient and the performance of the procedure. These regulations are still in effect today. What was instituted to protect vulnerable populations from coerced methods in the 1970s represents an anachronistic and archaic approach in the 21st Century. This regulation discriminates against low-income and minority women whose health care is covered by public insurance yet who are frequently at highest risk for unintended and possible risky pregnancy or abortion. In simple words, this imposition violates the standards of justice, beneficence, and nonmaleficence as it treats publicly insured women differently from privately insured women.

        The American Medical Association and the American College of Obstetricians and Gynecologists1 state that this regulation must be revised and charged practitioners to develop policies and procedures to ensure all women who desire postpartum sterilization can receive it. It is incumbent upon all women’s health care physicians to see that this barrier is removed.

        Federico G. Mariona, MD, MHSA
        Dearborn, Michigan

        Reference

         

        1. American College of Obstetricians and Gynecologists Committee on Health Care for Underserved Women. ACOG Committee Opinion No. 530: access to postpartum sterilization. Obstet Gynecol. 2012;120(1):212–215.

         

        Educate the sexual partners of at-risk women
        It always strikes me how little emphasis is placed on including the sexual partners of women with serious medical problems in the dialogue about responsibility for at-risk pregnancy. As advocates for women’s health, we should educate the couple about vasectomy and liberally provide referrals. Community outreach to help men understand how they can protect their partner from potentially dangerous unwanted pregnancy is extremely important and not stressed enough. Vasectomy is a quick, safe procedure performed in a physician’s office under local anesthesia. Why should any woman who has already risked her life carrying and delivering a baby be required to bear the contraceptive burden when there is a safe and convenient alternative?

         

         

        Emily Gubert, MD
        East Islip, New York

         

        Dr. Barbieri responds
        I thank Drs. Will, Mariona, and Gubert and the anonymous author for their wonderful recommendations on approaches to help improve contraceptive care for women. I agree with Dr. Will that the EHR is a valuable tool to advance contraceptive care. The anonymous author and Dr. Mariona make the critically important point that all women should have access to desired contraception without any barriers based on institutional beliefs or government regulations. The patient’s needs should be prioritized in all medical decision making. I agree with Dr. Gubert that including the male partner in the care process is an important part of effective contraception for women. I enthusiastically agree with her that the best permanent contraceptive for a stable couple is vasectomy.

        Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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        “CAN WE SOLVE THE PROBLEM OF INADEQUATE CONTRACEPTION FOR WOMEN AT HIGH RISK FOR ADVERSE PREGNANCY OUTCOMES?”
        ROBERT L. BARBIERI, MD (EDITORIAL; FEBRUARY 2016)

        “Contraception as a vital sign”
        In his recent Editorial Dr. Barbieri asked for ideas to improve contraception counseling for women with medical problems that put them at risk for adverse pregnancy outcomes. His idea of “contraception status as a vital sign” is applied in our very large group practice in Northern California using the electronic health record (EHR).

        Over 10 years ago, I attempted to put a hard stop in the EHR to require documentation that women of reproductive age be evaluated for contraception. This scheme seemed to be too cumbersome and was rejected at the time.

        The idea was not abandoned, however. Medical assistants must now document a means of contraception for each woman of reproductive age. This does not guarantee that a physician will look at the information, but it is a step in the right direction.

        My hope is that someday we will have automatic contraception as a vital sign documentation for all reproductive-age women, including “children” who are documented as menstruating. In the meantime, thank you for highlighting this critical issue.

        Tia Will, MD
        Sacramento, California

         

        Reduce reimbursement when standard of care is not met
        When I read Dr. Barbieri’s Editorial, I was surprised that he avoided the elephant in the room: the current political climate of denying contraception to women, including the defunding of Planned Parenthood and the Supreme Court decision to allow corporations to deny contraceptive coverage for religious issues.

        Although I am not currently involved in women’s health, I do work under the auspices of a large Catholic health care system in the United States. Here, all employees are prohibited from providing contraceptive procedures, prescriptions, or even counseling unless it is a Natural Family Planning/ Fertility Awareness Method. These employees also are not provided individual contraceptive health coverage by their employer; this coverage is provided by the federal government thanks to the Affordable Care Act.

        Contraception is part of the standard of care for women. However, many women are denied this standard of care due to “religious” reasons, which I suspect may be partially financial and/or political in nature. 

        This issue must therefore be addressed by political and financial means. My recommendation is for legislation that mandates lower reimbursement rates for health care systems and providers that refuse to offer full contraceptive options to women. If they do not provide full care, they do not get full payment for services. The money saved by reduced reimbursements could then fund federal women’s health clinics in areas dominated by “religious” health care systems that would guarantee full reproductive health options to all.

        Name and practice location withheld

         

        Remove Medicaid barriers to postpartum sterilization
        An issue not addressed in Dr. Barbieri’s Editorial is that of women who, after appropriate and extensive counseling by a physician and with a full understanding of the reproductive implications and the possible adverse effect of additional pregnancies on their health and life, decide for permanent contraception. A woman’s opportunity to obtain postpartum or interval contraceptive procedure varies by her insurance coverage, which is indirectly associated with her ethnicity or race.

        In 1979, Medicaid Title XIX imposed a 30-day interval between the signing of the sterilization informed consent by the patient and the performance of the procedure. These regulations are still in effect today. What was instituted to protect vulnerable populations from coerced methods in the 1970s represents an anachronistic and archaic approach in the 21st Century. This regulation discriminates against low-income and minority women whose health care is covered by public insurance yet who are frequently at highest risk for unintended and possible risky pregnancy or abortion. In simple words, this imposition violates the standards of justice, beneficence, and nonmaleficence as it treats publicly insured women differently from privately insured women.

        The American Medical Association and the American College of Obstetricians and Gynecologists1 state that this regulation must be revised and charged practitioners to develop policies and procedures to ensure all women who desire postpartum sterilization can receive it. It is incumbent upon all women’s health care physicians to see that this barrier is removed.

        Federico G. Mariona, MD, MHSA
        Dearborn, Michigan

        Reference

         

        1. American College of Obstetricians and Gynecologists Committee on Health Care for Underserved Women. ACOG Committee Opinion No. 530: access to postpartum sterilization. Obstet Gynecol. 2012;120(1):212–215.

         

        Educate the sexual partners of at-risk women
        It always strikes me how little emphasis is placed on including the sexual partners of women with serious medical problems in the dialogue about responsibility for at-risk pregnancy. As advocates for women’s health, we should educate the couple about vasectomy and liberally provide referrals. Community outreach to help men understand how they can protect their partner from potentially dangerous unwanted pregnancy is extremely important and not stressed enough. Vasectomy is a quick, safe procedure performed in a physician’s office under local anesthesia. Why should any woman who has already risked her life carrying and delivering a baby be required to bear the contraceptive burden when there is a safe and convenient alternative?

         

         

        Emily Gubert, MD
        East Islip, New York

         

        Dr. Barbieri responds
        I thank Drs. Will, Mariona, and Gubert and the anonymous author for their wonderful recommendations on approaches to help improve contraceptive care for women. I agree with Dr. Will that the EHR is a valuable tool to advance contraceptive care. The anonymous author and Dr. Mariona make the critically important point that all women should have access to desired contraception without any barriers based on institutional beliefs or government regulations. The patient’s needs should be prioritized in all medical decision making. I agree with Dr. Gubert that including the male partner in the care process is an important part of effective contraception for women. I enthusiastically agree with her that the best permanent contraceptive for a stable couple is vasectomy.

        Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

        “CAN WE SOLVE THE PROBLEM OF INADEQUATE CONTRACEPTION FOR WOMEN AT HIGH RISK FOR ADVERSE PREGNANCY OUTCOMES?”
        ROBERT L. BARBIERI, MD (EDITORIAL; FEBRUARY 2016)

        “Contraception as a vital sign”
        In his recent Editorial Dr. Barbieri asked for ideas to improve contraception counseling for women with medical problems that put them at risk for adverse pregnancy outcomes. His idea of “contraception status as a vital sign” is applied in our very large group practice in Northern California using the electronic health record (EHR).

        Over 10 years ago, I attempted to put a hard stop in the EHR to require documentation that women of reproductive age be evaluated for contraception. This scheme seemed to be too cumbersome and was rejected at the time.

        The idea was not abandoned, however. Medical assistants must now document a means of contraception for each woman of reproductive age. This does not guarantee that a physician will look at the information, but it is a step in the right direction.

        My hope is that someday we will have automatic contraception as a vital sign documentation for all reproductive-age women, including “children” who are documented as menstruating. In the meantime, thank you for highlighting this critical issue.

        Tia Will, MD
        Sacramento, California

         

        Reduce reimbursement when standard of care is not met
        When I read Dr. Barbieri’s Editorial, I was surprised that he avoided the elephant in the room: the current political climate of denying contraception to women, including the defunding of Planned Parenthood and the Supreme Court decision to allow corporations to deny contraceptive coverage for religious issues.

        Although I am not currently involved in women’s health, I do work under the auspices of a large Catholic health care system in the United States. Here, all employees are prohibited from providing contraceptive procedures, prescriptions, or even counseling unless it is a Natural Family Planning/ Fertility Awareness Method. These employees also are not provided individual contraceptive health coverage by their employer; this coverage is provided by the federal government thanks to the Affordable Care Act.

        Contraception is part of the standard of care for women. However, many women are denied this standard of care due to “religious” reasons, which I suspect may be partially financial and/or political in nature. 

        This issue must therefore be addressed by political and financial means. My recommendation is for legislation that mandates lower reimbursement rates for health care systems and providers that refuse to offer full contraceptive options to women. If they do not provide full care, they do not get full payment for services. The money saved by reduced reimbursements could then fund federal women’s health clinics in areas dominated by “religious” health care systems that would guarantee full reproductive health options to all.

        Name and practice location withheld

         

        Remove Medicaid barriers to postpartum sterilization
        An issue not addressed in Dr. Barbieri’s Editorial is that of women who, after appropriate and extensive counseling by a physician and with a full understanding of the reproductive implications and the possible adverse effect of additional pregnancies on their health and life, decide for permanent contraception. A woman’s opportunity to obtain postpartum or interval contraceptive procedure varies by her insurance coverage, which is indirectly associated with her ethnicity or race.

        In 1979, Medicaid Title XIX imposed a 30-day interval between the signing of the sterilization informed consent by the patient and the performance of the procedure. These regulations are still in effect today. What was instituted to protect vulnerable populations from coerced methods in the 1970s represents an anachronistic and archaic approach in the 21st Century. This regulation discriminates against low-income and minority women whose health care is covered by public insurance yet who are frequently at highest risk for unintended and possible risky pregnancy or abortion. In simple words, this imposition violates the standards of justice, beneficence, and nonmaleficence as it treats publicly insured women differently from privately insured women.

        The American Medical Association and the American College of Obstetricians and Gynecologists1 state that this regulation must be revised and charged practitioners to develop policies and procedures to ensure all women who desire postpartum sterilization can receive it. It is incumbent upon all women’s health care physicians to see that this barrier is removed.

        Federico G. Mariona, MD, MHSA
        Dearborn, Michigan

        Reference

         

        1. American College of Obstetricians and Gynecologists Committee on Health Care for Underserved Women. ACOG Committee Opinion No. 530: access to postpartum sterilization. Obstet Gynecol. 2012;120(1):212–215.

         

        Educate the sexual partners of at-risk women
        It always strikes me how little emphasis is placed on including the sexual partners of women with serious medical problems in the dialogue about responsibility for at-risk pregnancy. As advocates for women’s health, we should educate the couple about vasectomy and liberally provide referrals. Community outreach to help men understand how they can protect their partner from potentially dangerous unwanted pregnancy is extremely important and not stressed enough. Vasectomy is a quick, safe procedure performed in a physician’s office under local anesthesia. Why should any woman who has already risked her life carrying and delivering a baby be required to bear the contraceptive burden when there is a safe and convenient alternative?

         

         

        Emily Gubert, MD
        East Islip, New York

         

        Dr. Barbieri responds
        I thank Drs. Will, Mariona, and Gubert and the anonymous author for their wonderful recommendations on approaches to help improve contraceptive care for women. I agree with Dr. Will that the EHR is a valuable tool to advance contraceptive care. The anonymous author and Dr. Mariona make the critically important point that all women should have access to desired contraception without any barriers based on institutional beliefs or government regulations. The patient’s needs should be prioritized in all medical decision making. I agree with Dr. Gubert that including the male partner in the care process is an important part of effective contraception for women. I enthusiastically agree with her that the best permanent contraceptive for a stable couple is vasectomy.

        Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

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        Do antidepressants really cause autism?

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        Do antidepressants really cause autism?

        Presently it seems that anything a pregnant woman ingests can be correlated with a teratology or an unfortunate neurobehavioral outcome. In an era when up to 15% of pregnant women are taking antidepressant therapy, antidepressants are obvious drugs to be correlated with an untoward fetal outcome, despite the fact that untreated maternal depression itself is significantly worse.1

        A recent retrospective secondary end point study by Boukhris and colleagues on antidepressant use in pregnancy and the risk of autism spectrum disorder (ASD) in children is an example of correlation without substantive evidence of causation. Although this study received media attention,2 it is a “data-dredge” study. While the authors correctly note that the database is derived from a prospective registry-based population-based cohort study (the Quebec Pregnancy/Children Cohort), their study’s design more closely resembles a post hoc nested case-control study.

        Details of the study
        Researchers evaluated data from 145,456 singleton full-term infants born alive between January 1, 1998, and December 31, 2009, with antidepressant exposure during pregnancy defined according to trimester and specific antidepressant classes. Children were considered as having autism if they had received at least 1 autism diagnosis between their date of birth and the last date of follow-up.

        We perceive several problems in the study’s design and the authors’ conclusions.

        Shortcomings of study design
        The study results are based on a post hoc analysis. Autism spectrum disorder was not the primary end point of interest in this database. Accordingly, in a secondary end point study, the risk for bias and confounding is substantial. This study design cannot prove causation.3–5

        Exposure is defined by number of antidepressant prescriptions filled. No data regarding adherence (true exposure) are provided. Many women will not take antidepressant drugs as prescribed during pregnancy. It has been reported that antidepressants dispensed to pregnant women during the last 2 trimesters of pregnancy were taken by only 55% of the women.6

        The specific antidepressant agents and dosages used were not identified, and the study provided no good sense of duration of use. Is it biologically plausible, therefore, to suggest that all antidepressants—with their disparate structures and mechanisms, in all doses, and for various durations of use—have a uniform effect on fetal neurodevelopment?

        Notably, in another prescription drug study of 668,468 pregnancies in 2013, investigators found no significant association between prenatal exposure to antidepressants and ASD.7

        Some data suggest that ASD and depression may share preexisting risk factors.8 The increased risk for ASD proposed by Boukhris and colleagues’ study cannot likely be separated from the well-described genetic risk of ASD that might be shared with that of depression.9,10

        The stated hazard ratios (HRs) are all <2.2. Given this study’s design, it is plausible that various biases and confounders account for these findings. True significance of these HRs are suspect unless they exceed 3.0, and there is a greater probability of avoiding a type I error when the risk ratios are greater than 4 to 5.3,4

        What this evidence means for practice
        In this registry-based study of an ongoing population-based cohort, the authors suggest a sensational 87% increased risk of ASD with use of antidepressants during pregnancy. While technically correct, the absolute risk (if real) is really less than 1%. Using sound epidemiologic principles, we would advise against speculating on a number needed to harm based on this study design. Such a projection would require a prospective randomized trial.
        —Robert P. Kauffman, MD; Teresa Baker, MD; and Thomas W. Hale, PhD

        Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

        References
        1. Dawson AL, Ailes EC, Gilboa SM, et al. Antidepressant prescription claims among reproductive-aged women with private employer-sponsored insurance--United States 2008 -2013. MMWR Morb Mortal Wkly Rep. 2016;65(3):41–46.
        2. Cha AE. Maternal exposure to anti-depressant SSRIs linked to autism in children. https://www.washingtonpost.com/news/to-your-health/wp/2015/12/14/maternal-exposure-to-anti-depressant-ssris-linked-to-autism-in-children/. Published December 17, 2015. Accessed March 13, 2017.
        3. Taubes G. Epidemiology faces its limits. Science. 1995;269(5221):164–169.
        4. Grimes DA, Schulz KF. False alarms and pseudo-epidemics: the limitations of observational epidemiology. Obstet Gynecol. 2012;120(4):920–927.
        5. Smith GD, Ebrahim S. Data dredging, bias, and confounding: they can all get you into the BMJ and the Friday papers. BMJ. 2002;325(7378):1437–1438. 
        6. Källén B, Nilsson E, Olausson PO. Antidepressant use during pregnancy: comparison of data obtained from a prescription register and from antenatal care records. Eur J Clin Pharmacol. 2011;67(8):839–845.
        7. Sørensen MJ, Grønborg TK, Christensen J, et al. Antidepressant exposure in pregnancy and risk of autism spectrum disorders. Clin Epidemiol. 2013;5:449–459.
        8. King BH. Assessing risk of autism spectrum disorder in children after antidepressant use during pregnancy. JAMA Pediatr. 2016;170(2):111–112.
        9. Daniels JL, Forssen U, Hultman CM, et al. Parental psychiatric disorders associated with autism spectrum disorders in the offspring. Pediatrics. 2008;121(5):e1357–e1362.
        10. Lugnegård T, Hallerbäck MU, Gillberg C. Psychiatric comorbidity in young adults with a clinical diagnosis of Asperger syndrome. Res Dev Disabil. 2011;32(5):1910–1917.
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          EXPERT COMMENTARY
          Robert P. Kauffman, MD; Teresa Baker, MD; and Thomas W. Hale, PhD

          Dr. Kauffman is Professor and Regional Chair, Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center School of Medicine, Amarillo.

          Dr. Baker is Associate Professor, Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center School of Medicine.

          Dr. Hale is Professor of Pediatrics and Assistant Dean of Research, Pharmacology, Texas Tech University Health Sciences Center School of Medicine.

          The authors report no financial relationships relevant to this article.

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          Dr. Kauffman is Professor and Regional Chair, Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center School of Medicine, Amarillo.

          Dr. Baker is Associate Professor, Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center School of Medicine.

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          Dr. Kauffman is Professor and Regional Chair, Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center School of Medicine, Amarillo.

          Dr. Baker is Associate Professor, Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center School of Medicine.

          Dr. Hale is Professor of Pediatrics and Assistant Dean of Research, Pharmacology, Texas Tech University Health Sciences Center School of Medicine.

          The authors report no financial relationships relevant to this article.

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          Presently it seems that anything a pregnant woman ingests can be correlated with a teratology or an unfortunate neurobehavioral outcome. In an era when up to 15% of pregnant women are taking antidepressant therapy, antidepressants are obvious drugs to be correlated with an untoward fetal outcome, despite the fact that untreated maternal depression itself is significantly worse.1

          A recent retrospective secondary end point study by Boukhris and colleagues on antidepressant use in pregnancy and the risk of autism spectrum disorder (ASD) in children is an example of correlation without substantive evidence of causation. Although this study received media attention,2 it is a “data-dredge” study. While the authors correctly note that the database is derived from a prospective registry-based population-based cohort study (the Quebec Pregnancy/Children Cohort), their study’s design more closely resembles a post hoc nested case-control study.

          Details of the study
          Researchers evaluated data from 145,456 singleton full-term infants born alive between January 1, 1998, and December 31, 2009, with antidepressant exposure during pregnancy defined according to trimester and specific antidepressant classes. Children were considered as having autism if they had received at least 1 autism diagnosis between their date of birth and the last date of follow-up.

          We perceive several problems in the study’s design and the authors’ conclusions.

          Shortcomings of study design
          The study results are based on a post hoc analysis. Autism spectrum disorder was not the primary end point of interest in this database. Accordingly, in a secondary end point study, the risk for bias and confounding is substantial. This study design cannot prove causation.3–5

          Exposure is defined by number of antidepressant prescriptions filled. No data regarding adherence (true exposure) are provided. Many women will not take antidepressant drugs as prescribed during pregnancy. It has been reported that antidepressants dispensed to pregnant women during the last 2 trimesters of pregnancy were taken by only 55% of the women.6

          The specific antidepressant agents and dosages used were not identified, and the study provided no good sense of duration of use. Is it biologically plausible, therefore, to suggest that all antidepressants—with their disparate structures and mechanisms, in all doses, and for various durations of use—have a uniform effect on fetal neurodevelopment?

          Notably, in another prescription drug study of 668,468 pregnancies in 2013, investigators found no significant association between prenatal exposure to antidepressants and ASD.7

          Some data suggest that ASD and depression may share preexisting risk factors.8 The increased risk for ASD proposed by Boukhris and colleagues’ study cannot likely be separated from the well-described genetic risk of ASD that might be shared with that of depression.9,10

          The stated hazard ratios (HRs) are all <2.2. Given this study’s design, it is plausible that various biases and confounders account for these findings. True significance of these HRs are suspect unless they exceed 3.0, and there is a greater probability of avoiding a type I error when the risk ratios are greater than 4 to 5.3,4

          What this evidence means for practice
          In this registry-based study of an ongoing population-based cohort, the authors suggest a sensational 87% increased risk of ASD with use of antidepressants during pregnancy. While technically correct, the absolute risk (if real) is really less than 1%. Using sound epidemiologic principles, we would advise against speculating on a number needed to harm based on this study design. Such a projection would require a prospective randomized trial.
          —Robert P. Kauffman, MD; Teresa Baker, MD; and Thomas W. Hale, PhD

          Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

          Presently it seems that anything a pregnant woman ingests can be correlated with a teratology or an unfortunate neurobehavioral outcome. In an era when up to 15% of pregnant women are taking antidepressant therapy, antidepressants are obvious drugs to be correlated with an untoward fetal outcome, despite the fact that untreated maternal depression itself is significantly worse.1

          A recent retrospective secondary end point study by Boukhris and colleagues on antidepressant use in pregnancy and the risk of autism spectrum disorder (ASD) in children is an example of correlation without substantive evidence of causation. Although this study received media attention,2 it is a “data-dredge” study. While the authors correctly note that the database is derived from a prospective registry-based population-based cohort study (the Quebec Pregnancy/Children Cohort), their study’s design more closely resembles a post hoc nested case-control study.

          Details of the study
          Researchers evaluated data from 145,456 singleton full-term infants born alive between January 1, 1998, and December 31, 2009, with antidepressant exposure during pregnancy defined according to trimester and specific antidepressant classes. Children were considered as having autism if they had received at least 1 autism diagnosis between their date of birth and the last date of follow-up.

          We perceive several problems in the study’s design and the authors’ conclusions.

          Shortcomings of study design
          The study results are based on a post hoc analysis. Autism spectrum disorder was not the primary end point of interest in this database. Accordingly, in a secondary end point study, the risk for bias and confounding is substantial. This study design cannot prove causation.3–5

          Exposure is defined by number of antidepressant prescriptions filled. No data regarding adherence (true exposure) are provided. Many women will not take antidepressant drugs as prescribed during pregnancy. It has been reported that antidepressants dispensed to pregnant women during the last 2 trimesters of pregnancy were taken by only 55% of the women.6

          The specific antidepressant agents and dosages used were not identified, and the study provided no good sense of duration of use. Is it biologically plausible, therefore, to suggest that all antidepressants—with their disparate structures and mechanisms, in all doses, and for various durations of use—have a uniform effect on fetal neurodevelopment?

          Notably, in another prescription drug study of 668,468 pregnancies in 2013, investigators found no significant association between prenatal exposure to antidepressants and ASD.7

          Some data suggest that ASD and depression may share preexisting risk factors.8 The increased risk for ASD proposed by Boukhris and colleagues’ study cannot likely be separated from the well-described genetic risk of ASD that might be shared with that of depression.9,10

          The stated hazard ratios (HRs) are all <2.2. Given this study’s design, it is plausible that various biases and confounders account for these findings. True significance of these HRs are suspect unless they exceed 3.0, and there is a greater probability of avoiding a type I error when the risk ratios are greater than 4 to 5.3,4

          What this evidence means for practice
          In this registry-based study of an ongoing population-based cohort, the authors suggest a sensational 87% increased risk of ASD with use of antidepressants during pregnancy. While technically correct, the absolute risk (if real) is really less than 1%. Using sound epidemiologic principles, we would advise against speculating on a number needed to harm based on this study design. Such a projection would require a prospective randomized trial.
          —Robert P. Kauffman, MD; Teresa Baker, MD; and Thomas W. Hale, PhD

          Share your thoughts! Send your Letter to the Editor to rbarbieri@frontlinemedcom.com. Please include your name and the city and state in which you practice.

          References
          1. Dawson AL, Ailes EC, Gilboa SM, et al. Antidepressant prescription claims among reproductive-aged women with private employer-sponsored insurance--United States 2008 -2013. MMWR Morb Mortal Wkly Rep. 2016;65(3):41–46.
          2. Cha AE. Maternal exposure to anti-depressant SSRIs linked to autism in children. https://www.washingtonpost.com/news/to-your-health/wp/2015/12/14/maternal-exposure-to-anti-depressant-ssris-linked-to-autism-in-children/. Published December 17, 2015. Accessed March 13, 2017.
          3. Taubes G. Epidemiology faces its limits. Science. 1995;269(5221):164–169.
          4. Grimes DA, Schulz KF. False alarms and pseudo-epidemics: the limitations of observational epidemiology. Obstet Gynecol. 2012;120(4):920–927.
          5. Smith GD, Ebrahim S. Data dredging, bias, and confounding: they can all get you into the BMJ and the Friday papers. BMJ. 2002;325(7378):1437–1438. 
          6. Källén B, Nilsson E, Olausson PO. Antidepressant use during pregnancy: comparison of data obtained from a prescription register and from antenatal care records. Eur J Clin Pharmacol. 2011;67(8):839–845.
          7. Sørensen MJ, Grønborg TK, Christensen J, et al. Antidepressant exposure in pregnancy and risk of autism spectrum disorders. Clin Epidemiol. 2013;5:449–459.
          8. King BH. Assessing risk of autism spectrum disorder in children after antidepressant use during pregnancy. JAMA Pediatr. 2016;170(2):111–112.
          9. Daniels JL, Forssen U, Hultman CM, et al. Parental psychiatric disorders associated with autism spectrum disorders in the offspring. Pediatrics. 2008;121(5):e1357–e1362.
          10. Lugnegård T, Hallerbäck MU, Gillberg C. Psychiatric comorbidity in young adults with a clinical diagnosis of Asperger syndrome. Res Dev Disabil. 2011;32(5):1910–1917.
            References
            1. Dawson AL, Ailes EC, Gilboa SM, et al. Antidepressant prescription claims among reproductive-aged women with private employer-sponsored insurance--United States 2008 -2013. MMWR Morb Mortal Wkly Rep. 2016;65(3):41–46.
            2. Cha AE. Maternal exposure to anti-depressant SSRIs linked to autism in children. https://www.washingtonpost.com/news/to-your-health/wp/2015/12/14/maternal-exposure-to-anti-depressant-ssris-linked-to-autism-in-children/. Published December 17, 2015. Accessed March 13, 2017.
            3. Taubes G. Epidemiology faces its limits. Science. 1995;269(5221):164–169.
            4. Grimes DA, Schulz KF. False alarms and pseudo-epidemics: the limitations of observational epidemiology. Obstet Gynecol. 2012;120(4):920–927.
            5. Smith GD, Ebrahim S. Data dredging, bias, and confounding: they can all get you into the BMJ and the Friday papers. BMJ. 2002;325(7378):1437–1438. 
            6. Källén B, Nilsson E, Olausson PO. Antidepressant use during pregnancy: comparison of data obtained from a prescription register and from antenatal care records. Eur J Clin Pharmacol. 2011;67(8):839–845.
            7. Sørensen MJ, Grønborg TK, Christensen J, et al. Antidepressant exposure in pregnancy and risk of autism spectrum disorders. Clin Epidemiol. 2013;5:449–459.
            8. King BH. Assessing risk of autism spectrum disorder in children after antidepressant use during pregnancy. JAMA Pediatr. 2016;170(2):111–112.
            9. Daniels JL, Forssen U, Hultman CM, et al. Parental psychiatric disorders associated with autism spectrum disorders in the offspring. Pediatrics. 2008;121(5):e1357–e1362.
            10. Lugnegård T, Hallerbäck MU, Gillberg C. Psychiatric comorbidity in young adults with a clinical diagnosis of Asperger syndrome. Res Dev Disabil. 2011;32(5):1910–1917.
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              VIDEO: STICHES trial update boosts CABG in ischemic cardiomyopathy

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              CHICAGO – The results of the Surgical Treatment for Ischemic Heart Failure Extension Study (STICHES) presented at the annual meeting of the American College of Cardiology ought to change the clinical management of patients with coronary artery disease and heart failure with severe left ventricular dysfunction, according to Dr. Robert O. Bonow.

              STICHES is the 10-year follow-up of 1,212 such patients who were randomized to coronary artery bypass graft surgery plus optimal guideline-directed medical therapy or to the medical therapy alone. At 10 years, the CABG group showed a significant survival advantage: an all-cause mortality rate of 58.9%, a significant 16% relative risk reduction compared with the 66.1% rate in the medically managed group. Secondary endpoints were also strongly in favor of the CABG group.

              These findings indicate CABG is beneficial in patients with ischemic cardiomyopathy, and patients deserve to be so informed, according to Dr. Bonow, a member of the STICHES publication committee and professor of cardiology and director of the Center for Cardiovascular Innovation at Northwestern University in Chicago, who discussed the findings in this video interview.

              He reported having no financial conflicts regarding this National Institutes of Health–funded study.

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              bjancin@frontlinemedcom.com

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              CHICAGO – The results of the Surgical Treatment for Ischemic Heart Failure Extension Study (STICHES) presented at the annual meeting of the American College of Cardiology ought to change the clinical management of patients with coronary artery disease and heart failure with severe left ventricular dysfunction, according to Dr. Robert O. Bonow.

              STICHES is the 10-year follow-up of 1,212 such patients who were randomized to coronary artery bypass graft surgery plus optimal guideline-directed medical therapy or to the medical therapy alone. At 10 years, the CABG group showed a significant survival advantage: an all-cause mortality rate of 58.9%, a significant 16% relative risk reduction compared with the 66.1% rate in the medically managed group. Secondary endpoints were also strongly in favor of the CABG group.

              These findings indicate CABG is beneficial in patients with ischemic cardiomyopathy, and patients deserve to be so informed, according to Dr. Bonow, a member of the STICHES publication committee and professor of cardiology and director of the Center for Cardiovascular Innovation at Northwestern University in Chicago, who discussed the findings in this video interview.

              He reported having no financial conflicts regarding this National Institutes of Health–funded study.

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              bjancin@frontlinemedcom.com

              CHICAGO – The results of the Surgical Treatment for Ischemic Heart Failure Extension Study (STICHES) presented at the annual meeting of the American College of Cardiology ought to change the clinical management of patients with coronary artery disease and heart failure with severe left ventricular dysfunction, according to Dr. Robert O. Bonow.

              STICHES is the 10-year follow-up of 1,212 such patients who were randomized to coronary artery bypass graft surgery plus optimal guideline-directed medical therapy or to the medical therapy alone. At 10 years, the CABG group showed a significant survival advantage: an all-cause mortality rate of 58.9%, a significant 16% relative risk reduction compared with the 66.1% rate in the medically managed group. Secondary endpoints were also strongly in favor of the CABG group.

              These findings indicate CABG is beneficial in patients with ischemic cardiomyopathy, and patients deserve to be so informed, according to Dr. Bonow, a member of the STICHES publication committee and professor of cardiology and director of the Center for Cardiovascular Innovation at Northwestern University in Chicago, who discussed the findings in this video interview.

              He reported having no financial conflicts regarding this National Institutes of Health–funded study.

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              bjancin@frontlinemedcom.com

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              VIDEO: STICHES trial update boosts CABG in ischemic cardiomyopathy

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              VIDEO: STICHES trial update boosts CABG in ischemic cardiomyopathy

              CHICAGO – The results of the Surgical Treatment for Ischemic Heart Failure Extension Study (STICHES) presented at the annual meeting of the American College of Cardiology ought to change the clinical management of patients with coronary artery disease and heart failure with severe left ventricular dysfunction, according to Dr. Robert O. Bonow.

              STICHES is the 10-year follow-up of 1,212 such patients who were randomized to coronary artery bypass graft surgery plus optimal guideline-directed medical therapy or to the medical therapy alone. At 10 years, the CABG group showed a significant survival advantage: an all-cause mortality rate of 58.9%, a significant 16% relative risk reduction compared with the 66.1% rate in the medically managed group. Secondary endpoints were also strongly in favor of the CABG group.

              These findings indicate CABG is beneficial in patients with ischemic cardiomyopathy, and patients deserve to be so informed, according to Dr. Bonow, a member of the STICHES publication committee and professor of cardiology and director of the Center for Cardiovascular Innovation at Northwestern University in Chicago, who discussed the findings in this video interview.

              He reported having no financial conflicts regarding this National Institutes of Health–funded study.

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              bjancin@frontlinemedcom.com

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              CHICAGO – The results of the Surgical Treatment for Ischemic Heart Failure Extension Study (STICHES) presented at the annual meeting of the American College of Cardiology ought to change the clinical management of patients with coronary artery disease and heart failure with severe left ventricular dysfunction, according to Dr. Robert O. Bonow.

              STICHES is the 10-year follow-up of 1,212 such patients who were randomized to coronary artery bypass graft surgery plus optimal guideline-directed medical therapy or to the medical therapy alone. At 10 years, the CABG group showed a significant survival advantage: an all-cause mortality rate of 58.9%, a significant 16% relative risk reduction compared with the 66.1% rate in the medically managed group. Secondary endpoints were also strongly in favor of the CABG group.

              These findings indicate CABG is beneficial in patients with ischemic cardiomyopathy, and patients deserve to be so informed, according to Dr. Bonow, a member of the STICHES publication committee and professor of cardiology and director of the Center for Cardiovascular Innovation at Northwestern University in Chicago, who discussed the findings in this video interview.

              He reported having no financial conflicts regarding this National Institutes of Health–funded study.

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              bjancin@frontlinemedcom.com

              CHICAGO – The results of the Surgical Treatment for Ischemic Heart Failure Extension Study (STICHES) presented at the annual meeting of the American College of Cardiology ought to change the clinical management of patients with coronary artery disease and heart failure with severe left ventricular dysfunction, according to Dr. Robert O. Bonow.

              STICHES is the 10-year follow-up of 1,212 such patients who were randomized to coronary artery bypass graft surgery plus optimal guideline-directed medical therapy or to the medical therapy alone. At 10 years, the CABG group showed a significant survival advantage: an all-cause mortality rate of 58.9%, a significant 16% relative risk reduction compared with the 66.1% rate in the medically managed group. Secondary endpoints were also strongly in favor of the CABG group.

              These findings indicate CABG is beneficial in patients with ischemic cardiomyopathy, and patients deserve to be so informed, according to Dr. Bonow, a member of the STICHES publication committee and professor of cardiology and director of the Center for Cardiovascular Innovation at Northwestern University in Chicago, who discussed the findings in this video interview.

              He reported having no financial conflicts regarding this National Institutes of Health–funded study.

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              bjancin@frontlinemedcom.com

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              VIDEO: New ACC consensus guidance addresses nonstatin therapies

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              VIDEO: New ACC consensus guidance addresses nonstatin therapies

              CHICAGO – A new American College of Cardiology expert consensus decision pathway for the use of nonstatin therapies to lower cholesterol in high-risk patients addresses situations not covered by an evidence-based 2013 guideline on managing atherosclerotic cardiovascular disease risk.

              Like the 2013 guideline (the 2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Disease Risk in Adults), the new guidance emphasizes the importance of a healthy lifestyle, but also addresses the use of two monoclonal antibodies–proprotein convertase subtilisin/kexon 9 (PCSK9) inhibitors–approved for certain patient groups since the 2013 guideline was released, as well as other nonstatin therapies, including ezetimibe and bile acid sequestrants.

              “At the time [the 2013 guideline was published] the only really good outcomes data ... were for statin medication and there were no data from clinical trials that showed additional benefit of medications over and above being on the maximally tolerated dose of a statin,” according to Dr. Donald M. Lloyd-Jones, a professor at Northwestern University, Chicago and chair of the writing committee for the new guidance. “However, since 2013, a number of trials have been published that actually move the field forward in our understanding of which patients might benefit from adding non statin therapy on top of effective statin therapy.”

              The guidance was developed to address gaps in care until the guidelines can be updated, which will likely take a few years.

              Based on findings from recent studies, including the IMPROVE IT trial, which examined ezetimibe as statin add-on therapy after acute coronary syndromes, the HPS2-THRIVE study, which examined use of niacin in high-risk patients, and short-term outcomes studies of PCSK9 inhibitors, which have been shown to dramatically reduce low-density lipoprotein cholesterol levels beyond the lowering provided by statin therapy, the committee developed algorithms for the four main high-risk statin benefit patient groups:

              •Adults aged 21 years and older with clinical atherosclerotic cardiovascular disease (ASCVD), on statin for secondary prevention.

              •Adults aged 21 years and older with LDL-C greater than or equal to 190 mg/dL not due to secondary modifiable causes, on statin for primary prevention.

              •Adults aged 40-75 years without ASCVD but with diabetes and LDL-C of 70-189 mg/dL, on statin for primary prevention.

              •Adults aged 40-75 years without clinical ASCVD or diabetes, with LDL-C of 70-189 mg/dL and an estimated 10-year risk for ASCVD of at least 7.5%, on statin for primary prevention.

              The guidance suggests a number of steps to take with patients who fail to achieve treatment goals (such as addressing treatment adherence, intensifying lifestyle modifications, using a high-intensity stain, and evaluating for statin intolerance), and lists “clinician-patient discussion factors” to consider for each of a number of patient scenarios (including the potential benefits and risks associated with nonstatin therapies, as well as patient preferences).

              Included for each of the patient scenarios is an algorithm for which nonstatin therapies to use in which order, building on the “rock-solid confidence” that for the four statin benefit groups, statins remain the starting point, Dr. Lloyd-Jones said. He discussed the guidance in a video interview.

              In general, ezetimibe for those patients who are not achieving the types of reduction in LDL or the amount of risk reduction desired, “should probably be the first choice,” he said.

              Bile acid sequestrants can be considered in those who are ezetimibe intolerant and who have triglycerides less than 300 mg/dL.

              PCSK9 inhibitors are suggested for consideration only in very high-risk patients with ASCVD or with the familial hypercholesterolemia phenotype who are still not achieving the goal (ideally, a 50% reduction in LDL cholesterol), he said.

              The committee did not recommend use of niacin, stating that there is no clear indication for the routine use of niacin preparations as additional nonstatin therapies due to an unfavorable risk-benefit profile.

              Additionally, PCSK9 inhibitors are not recommended in any primary prevention scenarios, he noted.

              Dr. Neil J. Stone, chair of the 2013 guideline writing committee, said the new guidance provides a useful tool for clinicians, extending, in a practical way, the current guideline as the field awaits the long-term outcomes data for PCSK9 inhibitors.

              Despite some backlash in the wake of the 2013 guideline, which marked a move away from specific cholesterol treatment targets to a cardiovascular disease risk-based approach, the cardiovascular risk calculation formula introduced in that guideline has been shown to be useful and accurate, said Dr. Stone, also of Northwestern University.

              “[The new guidance] is simply an amplification and extension of the guideline,” he said, adding that “it’s about a risk discussion, not automatic treatment.”

               

               

              Dr. Lloyd-Jones and Dr. Stone each reported having no disclosures.

              sworcester@frontlinemedcom.com

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
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              CHICAGO – A new American College of Cardiology expert consensus decision pathway for the use of nonstatin therapies to lower cholesterol in high-risk patients addresses situations not covered by an evidence-based 2013 guideline on managing atherosclerotic cardiovascular disease risk.

              Like the 2013 guideline (the 2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Disease Risk in Adults), the new guidance emphasizes the importance of a healthy lifestyle, but also addresses the use of two monoclonal antibodies–proprotein convertase subtilisin/kexon 9 (PCSK9) inhibitors–approved for certain patient groups since the 2013 guideline was released, as well as other nonstatin therapies, including ezetimibe and bile acid sequestrants.

              “At the time [the 2013 guideline was published] the only really good outcomes data ... were for statin medication and there were no data from clinical trials that showed additional benefit of medications over and above being on the maximally tolerated dose of a statin,” according to Dr. Donald M. Lloyd-Jones, a professor at Northwestern University, Chicago and chair of the writing committee for the new guidance. “However, since 2013, a number of trials have been published that actually move the field forward in our understanding of which patients might benefit from adding non statin therapy on top of effective statin therapy.”

              The guidance was developed to address gaps in care until the guidelines can be updated, which will likely take a few years.

              Based on findings from recent studies, including the IMPROVE IT trial, which examined ezetimibe as statin add-on therapy after acute coronary syndromes, the HPS2-THRIVE study, which examined use of niacin in high-risk patients, and short-term outcomes studies of PCSK9 inhibitors, which have been shown to dramatically reduce low-density lipoprotein cholesterol levels beyond the lowering provided by statin therapy, the committee developed algorithms for the four main high-risk statin benefit patient groups:

              •Adults aged 21 years and older with clinical atherosclerotic cardiovascular disease (ASCVD), on statin for secondary prevention.

              •Adults aged 21 years and older with LDL-C greater than or equal to 190 mg/dL not due to secondary modifiable causes, on statin for primary prevention.

              •Adults aged 40-75 years without ASCVD but with diabetes and LDL-C of 70-189 mg/dL, on statin for primary prevention.

              •Adults aged 40-75 years without clinical ASCVD or diabetes, with LDL-C of 70-189 mg/dL and an estimated 10-year risk for ASCVD of at least 7.5%, on statin for primary prevention.

              The guidance suggests a number of steps to take with patients who fail to achieve treatment goals (such as addressing treatment adherence, intensifying lifestyle modifications, using a high-intensity stain, and evaluating for statin intolerance), and lists “clinician-patient discussion factors” to consider for each of a number of patient scenarios (including the potential benefits and risks associated with nonstatin therapies, as well as patient preferences).

              Included for each of the patient scenarios is an algorithm for which nonstatin therapies to use in which order, building on the “rock-solid confidence” that for the four statin benefit groups, statins remain the starting point, Dr. Lloyd-Jones said. He discussed the guidance in a video interview.

              In general, ezetimibe for those patients who are not achieving the types of reduction in LDL or the amount of risk reduction desired, “should probably be the first choice,” he said.

              Bile acid sequestrants can be considered in those who are ezetimibe intolerant and who have triglycerides less than 300 mg/dL.

              PCSK9 inhibitors are suggested for consideration only in very high-risk patients with ASCVD or with the familial hypercholesterolemia phenotype who are still not achieving the goal (ideally, a 50% reduction in LDL cholesterol), he said.

              The committee did not recommend use of niacin, stating that there is no clear indication for the routine use of niacin preparations as additional nonstatin therapies due to an unfavorable risk-benefit profile.

              Additionally, PCSK9 inhibitors are not recommended in any primary prevention scenarios, he noted.

              Dr. Neil J. Stone, chair of the 2013 guideline writing committee, said the new guidance provides a useful tool for clinicians, extending, in a practical way, the current guideline as the field awaits the long-term outcomes data for PCSK9 inhibitors.

              Despite some backlash in the wake of the 2013 guideline, which marked a move away from specific cholesterol treatment targets to a cardiovascular disease risk-based approach, the cardiovascular risk calculation formula introduced in that guideline has been shown to be useful and accurate, said Dr. Stone, also of Northwestern University.

              “[The new guidance] is simply an amplification and extension of the guideline,” he said, adding that “it’s about a risk discussion, not automatic treatment.”

               

               

              Dr. Lloyd-Jones and Dr. Stone each reported having no disclosures.

              sworcester@frontlinemedcom.com

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

              CHICAGO – A new American College of Cardiology expert consensus decision pathway for the use of nonstatin therapies to lower cholesterol in high-risk patients addresses situations not covered by an evidence-based 2013 guideline on managing atherosclerotic cardiovascular disease risk.

              Like the 2013 guideline (the 2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Disease Risk in Adults), the new guidance emphasizes the importance of a healthy lifestyle, but also addresses the use of two monoclonal antibodies–proprotein convertase subtilisin/kexon 9 (PCSK9) inhibitors–approved for certain patient groups since the 2013 guideline was released, as well as other nonstatin therapies, including ezetimibe and bile acid sequestrants.

              “At the time [the 2013 guideline was published] the only really good outcomes data ... were for statin medication and there were no data from clinical trials that showed additional benefit of medications over and above being on the maximally tolerated dose of a statin,” according to Dr. Donald M. Lloyd-Jones, a professor at Northwestern University, Chicago and chair of the writing committee for the new guidance. “However, since 2013, a number of trials have been published that actually move the field forward in our understanding of which patients might benefit from adding non statin therapy on top of effective statin therapy.”

              The guidance was developed to address gaps in care until the guidelines can be updated, which will likely take a few years.

              Based on findings from recent studies, including the IMPROVE IT trial, which examined ezetimibe as statin add-on therapy after acute coronary syndromes, the HPS2-THRIVE study, which examined use of niacin in high-risk patients, and short-term outcomes studies of PCSK9 inhibitors, which have been shown to dramatically reduce low-density lipoprotein cholesterol levels beyond the lowering provided by statin therapy, the committee developed algorithms for the four main high-risk statin benefit patient groups:

              •Adults aged 21 years and older with clinical atherosclerotic cardiovascular disease (ASCVD), on statin for secondary prevention.

              •Adults aged 21 years and older with LDL-C greater than or equal to 190 mg/dL not due to secondary modifiable causes, on statin for primary prevention.

              •Adults aged 40-75 years without ASCVD but with diabetes and LDL-C of 70-189 mg/dL, on statin for primary prevention.

              •Adults aged 40-75 years without clinical ASCVD or diabetes, with LDL-C of 70-189 mg/dL and an estimated 10-year risk for ASCVD of at least 7.5%, on statin for primary prevention.

              The guidance suggests a number of steps to take with patients who fail to achieve treatment goals (such as addressing treatment adherence, intensifying lifestyle modifications, using a high-intensity stain, and evaluating for statin intolerance), and lists “clinician-patient discussion factors” to consider for each of a number of patient scenarios (including the potential benefits and risks associated with nonstatin therapies, as well as patient preferences).

              Included for each of the patient scenarios is an algorithm for which nonstatin therapies to use in which order, building on the “rock-solid confidence” that for the four statin benefit groups, statins remain the starting point, Dr. Lloyd-Jones said. He discussed the guidance in a video interview.

              In general, ezetimibe for those patients who are not achieving the types of reduction in LDL or the amount of risk reduction desired, “should probably be the first choice,” he said.

              Bile acid sequestrants can be considered in those who are ezetimibe intolerant and who have triglycerides less than 300 mg/dL.

              PCSK9 inhibitors are suggested for consideration only in very high-risk patients with ASCVD or with the familial hypercholesterolemia phenotype who are still not achieving the goal (ideally, a 50% reduction in LDL cholesterol), he said.

              The committee did not recommend use of niacin, stating that there is no clear indication for the routine use of niacin preparations as additional nonstatin therapies due to an unfavorable risk-benefit profile.

              Additionally, PCSK9 inhibitors are not recommended in any primary prevention scenarios, he noted.

              Dr. Neil J. Stone, chair of the 2013 guideline writing committee, said the new guidance provides a useful tool for clinicians, extending, in a practical way, the current guideline as the field awaits the long-term outcomes data for PCSK9 inhibitors.

              Despite some backlash in the wake of the 2013 guideline, which marked a move away from specific cholesterol treatment targets to a cardiovascular disease risk-based approach, the cardiovascular risk calculation formula introduced in that guideline has been shown to be useful and accurate, said Dr. Stone, also of Northwestern University.

              “[The new guidance] is simply an amplification and extension of the guideline,” he said, adding that “it’s about a risk discussion, not automatic treatment.”

               

               

              Dr. Lloyd-Jones and Dr. Stone each reported having no disclosures.

              sworcester@frontlinemedcom.com

              The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
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              SHM I-PASS Leader Spearheads Fight for Safe Water in Flint

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              SHM I-PASS Leader Spearheads Fight for Safe Water in Flint

              Dr. Hanna-Attisha

              Mona Hanna-Attisha, MD, MPH, the director of the pediatric residency program at Hurley Children’s Hospital and an assistant professor of pediatrics at Michigan State University, has been instrumental in the fight for clean and safe water for residents in Flint, Mich.

              Dr. Hanna-Attisha has been a fundamental co-site leader with the SHM I-PASS mentored implementation program and minimized her role in the program as she became the unofficial spokesperson for the Flint water crisis. In January 2016, Dr. Hanna-Attisha took on the lead role for the Pediatric Public Health Initiative with Michigan State University and Hurley Children’s Hospital.

              Dr. Hanna-Attisha is a Michigan native and completed her undergraduate degree at the University of Michigan in Ann Arbor. She completed medical school at Michigan State University College of Human Medicine, completed her residency and chief residency at the Children’s Hospital of Michigan, and earned her master’s degree at the University of Michigan School of Public Health.

              Dr. Hanna-Attisha’s training and experience has focused heavily on environmental toxins and health disparities, so it’s no surprise that she is deeply involved with addressing the public health emergency in Flint as well as taking measures to ensure continued research and action regarding the impact the contaminated water had on the residents of Flint. Dr. Hanna-Attisha is working with a team of experts to develop evidence-based interventions that will aid in improving the health and development of children and families affected by Flint’s contaminated water. She is educating families on nutrition and diets high in iron, calcium, and vitamin C in order to help manage the effects of contamination.

              A report from a Virginia Tech Research Team ignited the investigation into Flint’s water issues and also fueled Dr. Hanna-Attisha’s investigation into the blood-lead levels in the children of Flint. It has been close to two years that the residents of Flint have been exposed to severely toxic levels of lead from the city’s tap water, and Dr. Hanna-Attisha’s analysis of children’s blood-lead levels has been highlighted and published in numerous publications, including the American Journal of Public Health.

              The water crisis in Flint hits close to home for Dr. Hanna-Attisha, and the dedication she has to her local community is astounding. It shows in the work she has been doing in her new role with the Pediatric Public Health Initiative.

              SHM is proud of all the outstanding work she is doing and appreciates her contributions to the SHM I-PASS program. To keep up to date with Dr. Hanna-Attisha, follow her on Twitter @MonaHannaA.


              Mobola Owolabi is senior project manager in SHM’s Center for Hospital Innovation and Improvement.

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              Dr. Hanna-Attisha

              Mona Hanna-Attisha, MD, MPH, the director of the pediatric residency program at Hurley Children’s Hospital and an assistant professor of pediatrics at Michigan State University, has been instrumental in the fight for clean and safe water for residents in Flint, Mich.

              Dr. Hanna-Attisha has been a fundamental co-site leader with the SHM I-PASS mentored implementation program and minimized her role in the program as she became the unofficial spokesperson for the Flint water crisis. In January 2016, Dr. Hanna-Attisha took on the lead role for the Pediatric Public Health Initiative with Michigan State University and Hurley Children’s Hospital.

              Dr. Hanna-Attisha is a Michigan native and completed her undergraduate degree at the University of Michigan in Ann Arbor. She completed medical school at Michigan State University College of Human Medicine, completed her residency and chief residency at the Children’s Hospital of Michigan, and earned her master’s degree at the University of Michigan School of Public Health.

              Dr. Hanna-Attisha’s training and experience has focused heavily on environmental toxins and health disparities, so it’s no surprise that she is deeply involved with addressing the public health emergency in Flint as well as taking measures to ensure continued research and action regarding the impact the contaminated water had on the residents of Flint. Dr. Hanna-Attisha is working with a team of experts to develop evidence-based interventions that will aid in improving the health and development of children and families affected by Flint’s contaminated water. She is educating families on nutrition and diets high in iron, calcium, and vitamin C in order to help manage the effects of contamination.

              A report from a Virginia Tech Research Team ignited the investigation into Flint’s water issues and also fueled Dr. Hanna-Attisha’s investigation into the blood-lead levels in the children of Flint. It has been close to two years that the residents of Flint have been exposed to severely toxic levels of lead from the city’s tap water, and Dr. Hanna-Attisha’s analysis of children’s blood-lead levels has been highlighted and published in numerous publications, including the American Journal of Public Health.

              The water crisis in Flint hits close to home for Dr. Hanna-Attisha, and the dedication she has to her local community is astounding. It shows in the work she has been doing in her new role with the Pediatric Public Health Initiative.

              SHM is proud of all the outstanding work she is doing and appreciates her contributions to the SHM I-PASS program. To keep up to date with Dr. Hanna-Attisha, follow her on Twitter @MonaHannaA.


              Mobola Owolabi is senior project manager in SHM’s Center for Hospital Innovation and Improvement.

              Dr. Hanna-Attisha

              Mona Hanna-Attisha, MD, MPH, the director of the pediatric residency program at Hurley Children’s Hospital and an assistant professor of pediatrics at Michigan State University, has been instrumental in the fight for clean and safe water for residents in Flint, Mich.

              Dr. Hanna-Attisha has been a fundamental co-site leader with the SHM I-PASS mentored implementation program and minimized her role in the program as she became the unofficial spokesperson for the Flint water crisis. In January 2016, Dr. Hanna-Attisha took on the lead role for the Pediatric Public Health Initiative with Michigan State University and Hurley Children’s Hospital.

              Dr. Hanna-Attisha is a Michigan native and completed her undergraduate degree at the University of Michigan in Ann Arbor. She completed medical school at Michigan State University College of Human Medicine, completed her residency and chief residency at the Children’s Hospital of Michigan, and earned her master’s degree at the University of Michigan School of Public Health.

              Dr. Hanna-Attisha’s training and experience has focused heavily on environmental toxins and health disparities, so it’s no surprise that she is deeply involved with addressing the public health emergency in Flint as well as taking measures to ensure continued research and action regarding the impact the contaminated water had on the residents of Flint. Dr. Hanna-Attisha is working with a team of experts to develop evidence-based interventions that will aid in improving the health and development of children and families affected by Flint’s contaminated water. She is educating families on nutrition and diets high in iron, calcium, and vitamin C in order to help manage the effects of contamination.

              A report from a Virginia Tech Research Team ignited the investigation into Flint’s water issues and also fueled Dr. Hanna-Attisha’s investigation into the blood-lead levels in the children of Flint. It has been close to two years that the residents of Flint have been exposed to severely toxic levels of lead from the city’s tap water, and Dr. Hanna-Attisha’s analysis of children’s blood-lead levels has been highlighted and published in numerous publications, including the American Journal of Public Health.

              The water crisis in Flint hits close to home for Dr. Hanna-Attisha, and the dedication she has to her local community is astounding. It shows in the work she has been doing in her new role with the Pediatric Public Health Initiative.

              SHM is proud of all the outstanding work she is doing and appreciates her contributions to the SHM I-PASS program. To keep up to date with Dr. Hanna-Attisha, follow her on Twitter @MonaHannaA.


              Mobola Owolabi is senior project manager in SHM’s Center for Hospital Innovation and Improvement.

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              SHM I-PASS Leader Spearheads Fight for Safe Water in Flint
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