Predictive value of quality of life as measured by KCCQ in heart failure patients: A meta-analysis

Abstract

Background: Studies on the predictive ability of disease-specific health quality of life (QoL) in patients with heart failure (HF) have produced conflicting results. To address these gaps in knowledge, we conducted a meta-analysis to evaluate the predictive value of QoL measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) in patients with HF.

Materials and methods: We searched PubMed, and Embase databases to identify studies investigating the predictive utility of baseline QoL measured by the KCCQ in HF patients. The outcome measures were all-cause mortality and HF hospitalisation. The predictive value of QoL was expressed by pooling the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the bottom versus the top category of KCCQ score or for per 10-point KCCQ score decrease.

Results: Twelve studies reporting on 11 articles with a total of 34,927 HF patients were identified. Comparison of the bottom with the top KCCQ score, the pooled adjusted HR was 2.34 (95% CI 2.10-2.60) and 2.53 (95% CI 2.23-2.88) for all-cause mortality and HF hospitalisation, respectively. Additionally, a 10-point decrease in KCCQ score was associated with a 12% (95% CI 7%-16%) increased risk of all-cause mortality and a 14% (95% CI 13%-15%) increased risk of HF hospitalisation.

Conclusions: Poor health-related QoL as determined by the lower KCCQ score, was associated with an increased risk of all-cause mortality and HF hospitalisation in patients with HF. Measuring disease-specific health-related QoL using the KCCQ score may provide valuable predictive information for HF patients.

Keywords: Kansas City Cardiomyopathy Questionnaire; all‐cause mortality; health‐related quality of life; heart failure; hospitalisation; meta‐analysis.