Prognostic markers of all-cause mortality in patients with atrial fibrillation: data from the prospective long-term registry of the German Atrial Fibrillation NETwork (AFNET)

Author:

Nabauer Michael1ORCID,Oeff Michael2,Gerth Andrea1,Wegscheider Karl3ORCID,Buchholz Anika3ORCID,Haeusler Karl Georg4ORCID,Hanrath Peter5,Meinertz Thomas6,Ravens Ursula78,Sprenger Claudia2,Tebbe Ulrich9,Vettorazzi Eik3ORCID,Kirchhof Paulus6ORCID,Breithardt Günter10ORCID,Steinbeck Gerhard1ORCID,

Affiliation:

1. Medical Clinic I, Ludwig-Maximilians-University, Campus Grosshadern, Marchioninistr. 15, D-81377 Munich, Germany

2. Department of Medicine I, Brandenburg Municipal Hospital, Brandenburg, Germany

3. Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

4. Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany

5. Medical Clinic I, University Hospital RWTH, Aachen, Germany

6. Department of Cardiology/Angiology, University Hospital Eppendorf, Hamburg, Germany

7. Institute for Experimental Cardiovascular Medicine, University Heart Center, University of Freiburg, Freiburg, Germany

8. Institute of Physiology, Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany

9. Department of Cardiology, Hospital Detmold, Detmold, Germany

10. Department of Cardiovascular Medicine, University Hospital Münster, Münster, Germany

Abstract

Abstract Aims Atrial fibrillation (AF) is associated with a high risk of cardiovascular and non-cardiovascular death, even on anticoagulation. It is controversial, which conditions—including concomitant diseases and AF itself—contribute to this mortality. To further clarify these questions, major determinants of long-term mortality and their contribution to death were quantified in an unselected cohort of AF patients. Methods and results We established a large nationwide registry comprising 8833 AF-patients with a median follow-up of 6.5 years (45 345 patient-years) and central adjudication of adverse events. Baseline characteristics of the patients were evaluated as predictors of mortality using Cox regression and C-indices for determination of predictive power. Annualized mortality was highest in the first year (6.2%) and remained high thereafter (5.2% in men and 5.5% in women). Thirty-eight percent of all deaths were cardiovascular, mainly due to heart failure or sudden death. Sex-specific age was the strongest predictor of mortality, followed by concomitant cardiovascular and non-cardiovascular conditions. These factors accounted for 25% of the total mortality beyond age and sex and for 84% of the mortality differences between AF types. Thus, the electrical phenotype of the disease at baseline contributed only marginally to prediction of mortality. Conclusion Mortality is high in AF patients and arises primarily from heart failure, peripheral artery disease, chronic obstructive lung disease, chronic kidney disease, and diabetes mellitus, which, therefore, should be targeted to lower mortality. Parameters related to the electrical manifestation of AF did not have an independent impact on long-term mortality in our representative cohort.

Funder

German Federal Ministry for Education and Research

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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