Generic and disease-specific quality of life as a predictor of long-term mortality in heart failure

Eur J Heart Fail. 2010 Dec;12(12):1372-8. doi: 10.1093/eurjhf/hfq163. Epub 2010 Sep 22.

Abstract

Aims: Although the vital prognosis of heart failure (HF) is generally poor, it varies substantially between patients. This study examined whether health-related quality of life (HRQoL) predicts long-term mortality in HF. It also evaluated the role of generic and disease-specific HRQoL questionnaires.

Methods and results: We studied 416 patients admitted for HF-related emergencies to four hospitals in Spain in 2000-2001. Health-related quality of life was measured at study baseline with a generic questionnaire, the SF-36, and with a disease-specific one, the Minnesota Living with Heart Failure (MLWHF) questionnaire. Patients were followed prospectively to 2007 to ascertain all-cause mortality. During follow-up, 290 (69.7%) patients died. After adjustment for biomedical, healthcare, and social variables, a poor mental component summary (MCS) score on the SF-36 was associated with higher mortality [hazard ratio (HR) 1.38; 95% confidence interval (CI) 1.06-1.76]. For MLWHF, a poor physical component summary (PCS) score predicted higher mortality (HR 1.31; 95% CI 1.01-1.70). In a stepwise Cox model that included the PCS scores of both the SF-36 and the MLWHF, only the PCS of the MLWHF was retained with P<0.05. However, when both MCS scores were included, only the MCS of the SF-36 was retained with P<0.05.

Conclusion: The SF-36 MCS and the MLWHF PCS predict long-term mortality in patients with HF. Future research should identify the determinants of HRQoL and refine interventions to improve it.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Psychological
  • Confidence Intervals
  • Female
  • Health Status Indicators
  • Heart Failure / mortality*
  • Heart Failure / pathology
  • Heart Failure / psychology
  • Humans
  • Male
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies
  • Quality of Life / psychology*
  • Regression Analysis
  • Risk Assessment
  • Spain / epidemiology
  • Stress, Psychological
  • Surveys and Questionnaires