Prevalence and Prognostic Significance of Frailty in Asian Patients With Heart Failure: Insights From ASIAN-HF.

Background

Frailty is common in patients with heart failure (HF) and can adversely impact outcomes.

Objectives

This study examined the prevalence of frailty among Asian patients with HF, its association with 1-year outcomes, and if race-ethnicity, HF subtypes, and sex modify this relationship.

Methods

In the multinational ASIAN-HF (Asian Sudden Cardiac Death in Heart Failure) registry, a baseline frailty index (FI) was constructed using a cumulative deficits approach with 48 baseline variables, and patients were followed for the 1-year primary outcome of all-cause death or HF hospitalization.

Results

Among 3,881 participants (age 61 ± 13 years, 27% female), the mean FI was 0.28 ± 0.11, and 69% were frail (FI >0.21). Higher FI was associated with older age, Malay ethnicity, and Southeast Asian residency. While comorbidities were more frequent in frail patients (by definition), body mass index was not different across frailty classes. Compared with FI class 1 (<0.21, nonfrail), FI class 2 (0.21-0.31) and FI class 3 (>0.31) had increased risk of the 1-year composite outcome (hazard ratios of 1.84 [95% confidence interval (CI): 1.42-2.38] and 4.51 [95% CI: 3.59-5.67], respectively), even after multivariable adjustment (adjusted hazard ratios of 1.49 [95% CI: 1.13-1.97] and 2.69 [95% CI: 2.06-3.50], respectively). Race-ethnicity modified the association of frailty with the composite outcome (

Conclusions

Most Asian patients with HF are frail despite relatively young age. Our results reveal specific ethnic (Malay) and regional (Southeast Asia) predisposition to frailty and highlight its prognostic importance, especially in Chinese individuals. (ASIAN HF Registry, A Prospective Observational Study [ASIANHF]; NCT01633398).

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The ASIAN-HF registry is supported by research grants from the Boston Scientific Investigator-Sponsored Research Program, National Medical Research Council of Singapore (R-172-003-219-511), the A∗STAR Biomedical Research Council ATTRaCT (Asian neTwork for Translational Research and Cardiovascular Trials) program (SPF2014/003, SPF2014/004, SPF2014/005), and Bayer. Dr Lam is supported by a Clinician Scientist Award from the National Medical Research Council of Singapore; has received research support from AstraZeneca, Bayer, Boston Scientific, and Roche Diagnostics; served as consultant or on the advisory board, steering committee, or executive committee for Actelion, Amgen, Applied Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Cytokinetics, Darma, Us2.ai, Janssen Research and Development, Medscape, Merck, Novartis, Novo Nordisk, Radcliffe Group, Roche Diagnostics, Sanofi, and WebMD Global; and served as co-founder and non–executive director of Us2.ai. Dr Richards has received research support from Boston Scientific, Bayer, AstraZeneca, Medtronic, Roche Diagnostics, Abbott Laboratories, Thermo Fisher, and Critical Diagnostics; and served as a consultant for Bayer, Novartis, Merck, AstraZeneca, and Roche Diagnostics. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.