Predictors of Alcohol Withdrawal Readmissions.

AIMS: Hospital readmissions serve as a major benchmark for the quality of care and alcohol withdrawal (AW) may lead to multiple hospitalizations and readmissions. We sought to evaluate readmission rates and predictors of having AW-related readmissions in a nationally representative sample. SHORT SUMMARY: In a nationally representative sample, AW readmission within 30 days and multiple readmissions during the year were high and were particularly predicted by discharge against medical advice (AMA), comorbid psychosis, comorbid depression, poor socioeconomic status, comorbid drug abuse and alcohol-related medical disease. METHODS: Subjects from the 2013 Nationwide Readmissions Database (NRD) with AW as a primary or secondary diagnosis. Cross-sectional and retrospective analyses were performed using regression methods appropriate for the NRD complex sampling design. The outcome measures were AW-related readmission, 30-day readmission and multiple readmissions. RESULTS: In 2013, 393,118 discharges involved ICD-9 coding for AW and 41.5% of these included AW as the primary discharge diagnosis. The rate of AW-related readmission in 2013, as estimated from first-quarter index events, was 58.8% (95% confidence interval (CI) 57.5-60.1), with an average of 1.8 readmissions (95% CI 1.7-1.9). The 30-day readmission rate, estimated from January-November index events, was 19.7% (95% CI 19.0-20.4). The strongest independent predictors of yearly, 30-day and multiple readmission were discharged AMA and comorbid psychotic disorder. CONCLUSION: AW readmission within 30 days and multiple readmissions during the year were common and were particularly predicted by AMA discharge and comorbid psychotic disorder. While these and other factors can help identify high-risk patients, further study to determine causal mechanisms may aid efforts to improve both the outcomes and costs associated with acute AW treatment.

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

BACKGROUND: Moderate alcohol consumption has been associated with lower risk of coronary heart disease death, but heavy alcohol consumption may increase risk. OBJECTIVE: We sought to determine the association of alcohol-related diagnoses with in-hospital mortality in patients with acute myocardial infarction (AMI). DESIGN/SETTING/PATIENTS: Discharge data collected from all admissions recorded in the Nationwide Inpatient Sample (NIS) database from 2011. A cross-sectional analysis was performed using regression methods appropriate for the NIS sample design. MEASURES: The outcome measures were in-hospital mortality, length of stay, and cardiac procedures. RESULTS: AMI accounted for 610,963 (1.9%) of adult in-patient admissions, with an in-hospital mortality rate of 5.3%. Alcohol-related diagnoses were associated with increased mortality in AMI patients after controlling for factors associated with alcoholism including age, sex, liver disease, hypertension, diabetes, renal failure, peripheral vascular disease, arrhythmias, drug abuse, gastrointestinal bleed, and smoking (adjusted odds ratio [OR]: 1.5, 95% confidence interval [CI]: 1.2-1.7, P < 0.001). This association was significant in both ST-elevation myocardial infarction patients (adjusted OR: 1.7, 95% CI: 1.4-2.2, P < 0.001) and non-ST-elevation myocardial infarction patients (adjusted OR: 1.3, 95% CI: 1.0-1.7, P = 0.025). Chronic alcohol-related diagnoses were significantly associated with death, but acute alcohol effects (as estimated by withdrawal and intoxication) were not associated. CONCLUSION: Chronic alcohol-related diagnoses were associated with a modest increase in the risk for death in individuals presenting with AMI. This risk was not accounted for by common alcohol-related comorbidities. As a component of global efforts to limit hospital deaths from AMI, future research should identify the factors underlying this association. Journal of Hospital Medicine 2016;11:563-567. © 2016 Society of Hospital Medicine.