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September 22, 2010European Journal of Heart Failure111 citationsOpen Access

Generic and Disease-Specific Quality of Life as a Predictor of Long-Term Mortality in Heart Failure

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MZM. Clemencia ZuluagaPGPilar Guallar‐CastillónELEsther López‐García

Key Result

Poor mental component summary on the SF-36 (HR 1.38; 95% CI 1.06-1.76) and poor physical component summary on the MLWHF (HR 1.31) predicted higher long-term mortality in heart failure.

Study Design

Type

Cohort (n=416)

Multicenter

Yes

Structured PICO

Do generic and disease-specific health-related quality of life scores predict long-term mortality in patients admitted for heart failure emergencies?

P
Population
416 patients admitted for HF-related emergencies to four hospitals in Spain in 2000-2001.
I
Intervention
Health-related quality of life (HRQoL) assessment using the generic SF-36 and disease-specific Minnesota Living with Heart Failure (MLWHF) questionnaires
O
Outcome
All-cause mortality ascertained prospectively to 2007hard clinical

Both generic (SF-36 mental component) and disease-specific (MLWHF physical component) quality of life scores are independent predictors of long-term mortality in heart failure patients.

Main Result

Effect estimate: HR 1.38 (95% CI 1.06-1.76)

p-value: p=<0.05

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.

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Cite This Study

Zuluaga et al. (2010) conducted a cohort in Heart failure (n=416). Poor health-related quality of life (SF-36 MCS and MLWHF PCS) was evaluated on All-cause mortality (HR 1.38, 95% CI 1.06-1.76, p=<0.05). Poor mental component summary on the SF-36 (HR 1.38; 95% CI 1.06-1.76) and poor physical component summary on the MLWHF (HR 1.31) predicted higher long-term mortality in heart failure.

synapsesocial.com/papers/6a0f1a8304e2b0ba896c8ee4https://doi.org/10.1093/eurjhf/hfq163
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