Incidence and Predictors of Atrial Fibrillation Progression.

Blum, Steffen; Aeschbacher, Stefanie; Meyre, Pascal; Zwimpfer, Leon; Reichlin, Tobias; Beer, Jürg H; Ammann, Peter; Auricchio, Angelo; Kobza, Richard; Erne, Paul; Moschovitis, Giorgio; Di Valentino, Marcello; Shah, Dipen; Schläpfer, Jürg; Henz, Selina; Meyer-Zürn, Christine; Roten, Laurent; Schwenkglenks, Matthias; Sticherling, Christian; Kühne, Michael; ... (2019). Incidence and Predictors of Atrial Fibrillation Progression. Journal of the American Heart Association, 8(20), e012554. American Heart Association 10.1161/JAHA.119.012554

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology

UniBE Contributor:

Reichlin, Tobias Roman and Roten, Laurent

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2047-9980

Publisher:

American Heart Association

Language:

English

Submitter:

Daria Vogelsang

Date Deposited:

10 Dec 2019 10:45

Last Modified:

10 Dec 2019 10:54

Publisher DOI:

10.1161/JAHA.119.012554

PubMed ID:

31590581

Uncontrolled Keywords:

atrial fibrillation epidemiology predictors progression rhythm control

BORIS DOI:

10.7892/boris.134530

URI:

https://boris.unibe.ch/id/eprint/134530

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