Quality of life predicts outcome in a heart failure disease management program

Int J Cardiol. 2010 Feb 18;139(1):60-7. doi: 10.1016/j.ijcard.2008.09.003. Epub 2008 Oct 12.

Abstract

Background: Chronic heart failure (HF) is associated with a poor Health Related Quality of Life (HRQoL). HRQoL has been shown to be a predictor of HF outcomes however, variability in the study designs make it difficult to apply these findings to a clinical setting. The aim of this study was to establish if HRQoL is a predictor of long-term mortality and morbidity in HF patients followed-up in a disease management program (DMP) and if a HRQoL instrument could be applied to aid in identifying high-risk patients within a clinical context.

Methods: This is a retrospective analysis of HF patients attending a DMP with 18+/-9 months follow-up. Clinical and biochemical parameters were recorded on discharge from index HF admission and HRQoL measures were recorded at 2 weeks post index admission.

Results: 225 patients were enrolled into the study (mean age=69+/-12 years, male=61%, and 78%=systolic HF). In multivariable analysis, all dimensions of HRQoL (measured by the Minnesota Living with HF Questionnaire) were independent predictors of both mortality and readmissions particularly in patients <80 years. A significant interaction between HRQoL and age (Total((HRQoL))age: p<0.001) indicated that the association of HRQoL with outcomes diminished as age increased.

Conclusions: These data demonstrate that HRQoL is a predictor of outcome in HF patients managed in a DMP. Younger patients (<65 years) with a Total HRQoL score of > or =50 are at high risk of an adverse outcome. In older patients > or =80 years HRQoL is not useful in predicting outcome.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Ambulatory Care*
  • Chronic Disease
  • Disease Management
  • Female
  • Health Status*
  • Heart Failure* / mortality
  • Heart Failure* / physiopathology
  • Heart Failure* / therapy
  • Humans
  • Male
  • Middle Aged
  • Minnesota / epidemiology
  • Multivariate Analysis
  • Outcome Assessment, Health Care
  • Patient Readmission / statistics & numerical data
  • Predictive Value of Tests
  • Quality of Life*
  • Retrospective Studies
  • Risk Factors
  • Severity of Illness Index
  • Surveys and Questionnaires