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

Author:

Gugganig Rebecca12,Aeschbacher Stefanie12,Leong Darryl P3,Meyre Pascal12,Blum Steffen12,Coslovsky Michael14,Beer Jürg H5,Moschovitis Giorgio6,Müller Dominic1,Anker Daniela7,Rodondi Nicolas78,Stempfel Samuel12,Mueller Christian12,Meyer-Zürn Christine12,Kühne Michael12,Conen David123,Osswald Stefan12,

Affiliation:

1. Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland

2. Division of Cardiology, Department of Medicine, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland

3. Population Health Research Institute, McMaster University, Hamilton, 237 Barton Street East Hamilton, Ontario, Canada

4. Clinical Trial Unit Basel, Department of Clinical Research, University Hospital Basel, Schanzenstrasse 55, 4056 Basel, Switzerland

5. Department of Medicine, Cantonal Hospital of Baden and Molecular Cardiology, University Hospital of Zürich, Wagistrasse 12, 8952 Schlieren, Zurich, Switzerland

6. Department of Cardiology, Ospedale Regionale di Lugano, Via Tesserete 46, 6900 Lugano, Switzerland

7. Institute of Primary Health Care (BIHAM), University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland

8. Department of General Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, 3010 Bern, Switzerland

Abstract

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.

Funder

Swiss National Science Foundation

Foundation for Cardiovascular Research Basel

University of Basel

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Health Policy

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