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Incidence and Predictors of Atrial Fibrillation Progression

Blum, Steffen and Aeschbacher, Stefanie and Meyre, Pascal and Zwimpfer, Leon and Reichlin, Tobias and Beer, Jürg H. and Ammann, Peter and Auricchio, Angelo and Kobza, Richard and Erne, Paul and Moschovitis, Giorgio and Di Valentino, Marcello and Shah, Dipen and Schläpfer, Jürg and Henz, Selina and Meyer-Zürn, Christine and Roten, Laurent and Schwenkglenks, Matthias and Sticherling, Christian and Kühne, Michael and Osswald, Stefan and Conen, David and Swiss‐AF Investigators, . (2019) Incidence and Predictors of Atrial Fibrillation Progression. Journal of the American Heart Association, 8 (20). e012554.

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Official URL: https://edoc.unibas.ch/74369/

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Abstract

Background The incidence and predictors of atrial fibrillation (AF) progression are currently not well defined, and clinical AF progression partly overlaps with rhythm control interventions (RCIs). Methods and Results We assessed AF type and intercurrent RCIs during yearly follow-ups in 2869 prospectively followed patients with paroxysmal or persistent AF. Clinical AF progression was defined as progression from paroxysmal to nonparoxysmal or from persistent to permanent AF. An RCI was defined as pulmonary vein isolation, electrical cardioversion, or new treatment with amiodarone. During a median follow-up of 3 years, the incidence of clinical AF progression was 5.2 per 100 patient-years, and 10.9 per 100 patient-years for any RCI. Significant predictors for AF progression were body mass index (hazard ratio [HR], 1.03; 95% CI, 1.01-1.05), heart rate (HR per 5 beats/min increase, 1.05; 95% CI, 1.02-1.08), age (HR per 5-year increase 1.19; 95% CI, 1.13-1.27), systolic blood pressure (HR per 5 mm Hg increase, 1.03; 95% CI, 1.00-1.05), history of hyperthyroidism (HR, 1.71; 95% CI, 1.16-2.52), stroke (HR, 1.50; 95% CI, 1.19-1.88), and heart failure (HR, 1.69; 95% CI, 1.34-2.13). Regular physical activity (HR, 0.80; 95% CI, 0.66-0.98) and previous pulmonary vein isolation (HR, 0.69; 95% CI, 0.53-0.90) showed an inverse association. Significant predictive factors for RCIs were physical activity (HR, 1.42; 95% CI, 1.20-1.68), AF-related symptoms (HR, 1.84; 95% CI, 1.47-2.30), age (HR per 5-year increase, 0.88; 95% CI, 0.85-0.92), and paroxysmal AF (HR, 0.61; 95% CI, 0.51-0.73). Conclusions Cardiovascular risk factors and comorbidities were key predictors of clinical AF progression. A healthy lifestyle may therefore reduce the risk of AF progression.
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Kardiologie
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Kardiologie
03 Faculty of Medicine > Departement Public Health > Pharmazeutische Medizin ECPM > Pharmazeutische Medizin (Szucs)
UniBasel Contributors:Schwenkglenks, Matthias and Blum, Steffen and Aeschbacher, Stefanie and Meyre, Pascal and Sticherling, Christian and Kühne, Michael and Osswald, Stefan and Conen, David
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:2047-9980
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:27 May 2020 09:57
Deposited On:27 May 2020 09:57

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