Survival rates are similar between African American and white patients with heart failure

Am Heart J. 2003 Aug;146(2):265-72. doi: 10.1016/S0002-8703(03)00240-0.

Abstract

Background: The clinical characteristics of heart failure differ significantly between African American patients and white patients, apparently as a result of differences in the pathobiology of the condition in the races. We investigated the hypothesis that race also influences the survival of patients with heart failure.

Methods: Data from the University of North Carolina Heart Failure Database were analyzed for 853 patients (44% African American, 32% women) who had symptomatic heart failure (New York Heart Association class 2.8 +/- 0.02 [mean +/- SEM]) with a reduced left ventricular ejection fraction of 26% +/- 0.5% and a body mass index of 27 +/- 0.2. Data on vital status were available in 96.4% of these patients, with a mean length of follow-up of 3.8 +/- 0.1 years.

Results: An unadjusted univariate proportional-hazards analysis suggested similar survival rates between African American patients and white patients in the study population (relative risk, 0.90; 95% CI, 0.73-1.10; P =.293). Adjusted analysis, taking into account the characteristics shown to be of prognostic importance, demonstrated no difference in survival rate between African American patients and white patients (relative risk,1.12; 95% CI, 0.89-1.42; P =.336). The adjusted relative risk of all-cause mortality in the respective races among patients with heart failure caused by ischemic heart disease was 1.21 (95% CI, 0.80-1.84; P =.367).

Conclusion: African American and white patients with symptomatic heart failure had similar survival rates in our database.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Black People*
  • Black or African American
  • Female
  • Heart Failure / ethnology*
  • Heart Failure / etiology
  • Heart Failure / mortality
  • Heart Failure / physiopathology
  • Humans
  • Male
  • Middle Aged
  • North Carolina / epidemiology
  • Proportional Hazards Models
  • Stroke Volume
  • Survival Analysis
  • Survival Rate
  • White People*