Screen-detected atrial fibrillation predicts mortality in elderly subjects

Author:

Zink Matthias D12ORCID,Mischke Karl G3,Keszei Andras P4,Rummey Christian5,Freedman Ben6,Neumann Gabriele7,Tolksdorf Alina8,Frank Friederike8,Wienströer Jan9,Kuth Nicole8,Schulz Jörg B1011,Marx Nikolaus1ORCID

Affiliation:

1. Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Pauwelsstraße 30, D-52074 Aachen, Germany

2. Cardiovascular Research Institute Maastricht (CARIM), Department of Physiology, Maastricht, the Netherlands

3. Department of Internal Medicine I, Leopoldina Hospital Schweinfurt, Schweinfurt, Germany

4. Center for Translational and Clinical Research, RWTH Aachen University, Aachen, Germany

5. Clinical Data Science GmbH, Basel, Switzerland

6. Heart Research Institute, Charles Perkins Centre, Concord Hospital Cardiology, University of Sydney, Camperdown, Australia

7. Karls Pharmacy Aachen, Aachen, Germany

8. Department of General Medicine, University Hospital Aachen, RWTH Aachen University, Aachen, Germany

9. Department of Medical Informatics, University Hospital Aachen, RWTH Aachen University, Aachen, Germany

10. Department of Neurology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany

11. JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH, RWTH Aachen University, Aachen, Germany

Abstract

Abstract Aims Current guidelines recommend opportunistic screening for atrial fibrillation (AF) but the prognosis of individuals is unclear. The aim of this investigation is to determine prevalence and 1-year outcome of individuals with screen-detected AF. Methods and results We performed a prospective, pharmacy-based single time point AF screening study in 7107 elderly citizens (≥65 years) using a hand-held, single-lead electrocardiogram (ECG) device. Prevalence of AF was assessed, and data on all-cause death and hospitalization for cardiovascular (CV) causes were collected over a median follow-up of 401 (372; 435) days. Mean age of participants was 74 ± 5.9 years, with 58% (N = 4130) of female sex. Automated heart rhythm analyses identified AF in 432 (6.1%) participants, with newly diagnosed AF in 3.6% of all subjects. During follow-up, 62 participants (0.9%) died and 390 (6.0%) were hospitalized for CV causes. Total mortality was 2.3% in participants with a screen-detected AF and 0.8% in subjects with a normal ECG [hazard ratio (HR) 2.94; 95% confidence interval (CI) 1.49–5.78; P = 0.002]; hospitalization for CV causes occurred in 10.6% and 5.5%, respectively (HR 2.08; 95% CI 1.52–2.84; P < 0.001). Compared with subjects without a history of AF at baseline and a normal ECG, participants with newly diagnosed or known AF had a significantly higher mortality risk with HRs of 2.64 (95% CI 1.05–6.66; P = 0.04) and 2.68 (95% CI 1.44–4.97; P = 0.002), respectively. After multivariable adjustment, screen-detected AF remained a significant predictor of death or hospitalization for CV causes. Conclusion Pharmacy-based, automated AF screening in elderly citizens identified subjects with unknown AF and an excess mortality risk over the next year.

Funder

European Union’s Horizon 2020 Research and Innovation Programme

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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