Key result
Worst EQ-5D VAS scores linked to ~97% higher all-cause mortality risk in HFrEF.
Why the study?
The study aimed to examine clinical characteristics and outcomes associated with health-related quality of life across patients with HFpEF, HFmrEF, and HFrEF.
Does health-related quality of life (EQ 5D-vas score) predict all-cause mortality in patients with heart failure across different ejection fraction categories?
Observational (n=40,809)
Yes
Does health-related quality of life (EQ 5D-vas score) predict all-cause mortality in patients with heart failure across different ejection fraction categories?
Effect estimate: HR 1.97 (95% CI 1.64-2.37)
Lower health-related quality of life is strongly associated with higher NYHA class and independently predicts higher all-cause mortality across all heart failure ejection fraction categories.
May aid mortality risk stratification across HF phenotypes; extends observational associations but leaves causality and interventions untested.
AIMS: The study aims to examine characteristics and outcomes associated with health-related quality of life (HRQoL) in patients with heart failure (HF) with preserved, mildly reduced and reduced ejection fraction (EF) (HFpEF, HFmrEF and HFrEF). METHODS AND RESULTS: Data on HRQoL were collected in the Swedish Heart Failure Registry (SwedeHF; 2000-2021) using the EuroQoL 5-dimensional visual analogue scale (EQ 5D-vas). Baseline EQ 5D-vas scores were categorized as 'best' (76-100), 'good' (51-75), 'bad' (26-50) and 'worst' (0-25). Independent associations between patients' characteristics and EQ 5D-vas, as well as between EQ 5D-vas and outcomes were assessed. Of 40 809 patients (median age 74 years; 32% female), 29% were in the 'best', 41% in the 'good', 25% in the 'bad' and 5% in the 'worst' EQ 5D-vas categories, similarly distributed across all EF categories. Higher New York Heart Association (NYHA) class was strongly associated with lower EQ 5D-vas regardless of EF categories, followed by chronic obstructive pulmonary disease, smoking, body mass index, higher heart rate, anaemia, previous stroke, ischaemic heart disease, use of diuretics and living alone, whereas higher income, male sex, outpatient status and higher systolic blood pressure were inversely associated with lower EQ 5D-vas categories. Patients in the 'worst' EQ 5D-vas category as compared with the 'best' had the highest risk of all-cause death [adjusted hazard ratios 1.97, 95% confidence interval (CI) 1.64-2.37 in HFrEF, 1.77, 95% CI 1.30-2.40 in HFmrEF and 1.43 95% CI 1.02-2.00 in HFpEF]. CONCLUSIONS: Most patients were in the two highest EQ 5D-vas categories. Higher NYHA class had the strongest association with lower EQ 5D-vas categories, across all EF categories. Patients in the worst EQ 5D-vas category were at the highest risk of mortality.
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Settergren et al. (2025) conducted an observational in Heart failure (n=40,809). Worst EQ 5D-vas category (0-25) vs. Best EQ 5D-vas category (76-100) was evaluated on All-cause death (HR 1.97, 95% CI 1.64-2.37). The worst EQ 5D-vas category compared with the best was associated with the highest risk of all-cause death across all ejection fraction categories (e.g., HR 1.97; 95% CI 1.64-2.37 in HFrEF).
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