Event-free survival in adults with heart failure who engage in self-care management

Heart Lung. 2011 Jan-Feb;40(1):12-20. doi: 10.1016/j.hrtlng.2009.12.003. Epub 2010 Apr 8.

Abstract

Background: Self-care management in heart failure (HF) involves decision-making to evaluate, and actions to ameliorate symptoms when they occur. This study sought to compare the risks of all-cause mortality, hospitalization, or emergency-room admission among HF patients who practice above-average self-care management, those who practice below-average self-care management, and those who are symptom-free.

Methods: A secondary analysis was conducted of data collected on 195 HF patients. A Cox proportional hazards model was used to examine the association between self-care management and event risk.

Results: The sample consisted of older (mean ± standard deviation=61.3 ± 11 years), predominantly male (64.6%) adults, with an ejection fraction of 34.7% ± 15.3%; 60.1% fell within New York Heart Association class III or IV HF. During an average follow-up of 364 ± 288 days, 4 deaths, 82 hospitalizations, and 5 emergency-room visits occurred as first events. Controlling for 15 common confounders, those who engaged in above-average self-care management (hazard ratio, .44; 95% confidence interval, .22 to .88; P < .05) and those who were symptom-free (hazard ratio, 0.48; 95% confidence interval, .24 to .97; P < .05) ran a lower risk of an event during follow-up than those engaged in below-average self-care management.

Conclusion: Symptomatic HF patients who practice above-average self-care management have an event-free survival benefit similar to that of symptom-free HF patients.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Decision Making
  • Female
  • Health Status Indicators
  • Heart Failure / mortality*
  • Heart Failure / psychology
  • Heart Failure / therapy
  • Humans
  • Male
  • Middle Aged
  • Patient Compliance
  • Prognosis
  • Proportional Hazards Models
  • Psychometrics
  • Risk Assessment
  • Self Care*
  • Surveys and Questionnaires
  • Survival Analysis