Precipitating Factors for Acute Heart Failure Hospitalization and Long-Term Survival

Medicine (Baltimore). 2015 Dec;94(52):e2330. doi: 10.1097/MD.0000000000002330.

Abstract

Heart failure (HF) patients have frequent exacerbations leading to high consumption of medical services and recurrent hospitalizations.Different precipitating factors have various effects on long-term survival.We investigated 2212 patients hospitalized with a diagnosis of either acute HF or acute exacerbation of chronic HF. Patients were divided into 2 primary precipitant groups: ischemic (N = 979 [46%]) and nonischemic (N = 1233 [54%]). The primary endpoint was all-cause mortality.Multivariate analysis demonstrated that the presence of a nonischemic precipitant was associated with a favorable in-hospital outcome (OR 0.64; CI 0.43-0.94), but with a significant increase in the risk of 10-year mortality (HR 1.12; CI 1.01-1.21). Consistently, the cumulative probability of 10-year mortality was significantly higher among patients with a nonischemic versus ischemic precipitant (83% vs 90%, respectively; Log-rank P value <0.001). Subgroup analysis showed that among the nonischemic precipitant, the presence of renal dysfunction and infection were both associated with poor short-term outcomes (OR 1.56, [P < 0.001] and OR 1.35 [P < 0.001], respectively), as well as long-term (HR 1.59 [P < 0.001] and HR 1.24 [P < 0.001], respectively).Identification of precipitating factors for acute HF hospitalization has important short- and long-term implications that can be used for improved risk stratification and management.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute Disease
  • Aged
  • Disease Progression
  • Female
  • Heart Failure* / diagnosis
  • Heart Failure* / mortality
  • Heart Failure* / physiopathology
  • Heart Failure* / therapy
  • Hospital Mortality
  • Hospitalization / statistics & numerical data*
  • Humans
  • Israel / epidemiology
  • Male
  • Multivariate Analysis
  • Patient Outcome Assessment
  • Precipitating Factors
  • Prognosis
  • Risk Assessment
  • Risk Factors