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Frailty to predict unplanned hospitalization,...
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Frailty to predict unplanned hospitalization, stroke, bleeding, and death in atrial fibrillation

Abstract

AIMS: Atrial fibrillation (AF) and frailty are common, and the prevalence is expected to rise further. We aimed to investigate the prevalence of frailty and the ability of a frailty index (FI) to predict unplanned hospitalizations, stroke, bleeding, and death in patients with AF. METHODS AND RESULTS: Patients with known AF were enrolled in a prospective cohort study in Switzerland. Information on medical history, lifestyle factors, and clinical measurements were obtained. The primary outcome was unplanned hospitalization; secondary outcomes were all-cause mortality, bleeding, and stroke. The FI was measured using a cumulative deficit approach, constructed according to previously published criteria and divided into three groups (non-frail, pre-frail, and frail). The association between frailty and outcomes was assessed using multivariable-adjusted Cox regression models. Of the 2369 included patients, prevalence of pre-frailty and frailty was 60.7% and 10.6%, respectively. Pre-frailty and frailty were associated with a higher risk of unplanned hospitalizations [adjusted hazard ratio (aHR) 1.82, 95% confidence interval (CI) 1.49-2.22; P < 0.001; and aHR 3.59, 95% CI 2.78-4.63, P < 0.001], all-cause mortality (aHR 5.07, 95% CI 2.43-10.59; P < 0.001; and aHR 16.72, 95% CI 7.75-36.05; P < 0.001), and bleeding (aHR 1.53, 95% CI 1.11-2.13; P = 0.01; and aHR 2.46, 95% CI 1.61-3.77; P < 0.001). Frailty, but not pre-frailty, was associated with a higher risk of stroke (aHR 3.29, 95% CI 1.2-8.39; P = 0.01). CONCLUSION: Over two-thirds of patients with AF are pre-frail or frail. These patients have a high risk for unplanned hospitalizations and other adverse events. These findings emphasize the need to carefully evaluate these patients. However, whether screening for pre-frailty and frailty and targeted prevention strategies improve outcomes needs to be shown in future studies. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov identifier number: NCT02105844.

Authors

Gugganig R; Aeschbacher S; Leong DP; Meyre P; Blum S; Coslovsky M; Beer JH; Moschovitis G; Müller D; Anker D

Volume

7

Pagination

pp. 42-51

Publisher

Oxford University Press (OUP)

Publication Date

January 25, 2021

DOI

10.1093/ehjqcco/qcaa002

Conference proceedings

European Heart Journal - Quality of Care and Clinical Outcomes

Issue

1

ISSN

2058-5225

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