Abstract 14519: Assessing Competing Risks for 30-Day Outcomes Following Acute Heart Failure Hospitalizations Using Real World Data

Introduction: Individual risk factors may differentially predict outcomes following acute heart failure (HF) hospitalization. We assessed competing risks for 30-day outcomes using an approach that simultaneously models all outcomes to evaluate the relative influence of each risk factor. Methods: We identified patients hospitalized for HF between 2008 and 2012 in a large administrative database (Truven Health MarketScan® Database). Thirty-day outcomes were in-hospital mortality, all-cause readmission, length of stay (LOS) >10 days and the end of enrollment in the health plan (unknown vital status). Competing risks analyses were conducted using multinomial logistic regression adjusting for demographics and other patient characteristics. Results: A total of 97,102 patients with an acute HF hospitalization were identified during the study period. The mean age was 74.2 (SD=13.7) and 53.5% of patients were male. Twenty percent of patients experienced one of the 4 outcomes within 30 days: 2.3% in-hospital deaths...