Incidence and Predictors of Atrial Fibrillation Progression

Publication

Incidence and Predictors of Atrial Fibrillation Progression

Journal Paper/Review - Oct 8, 2019

Blum Steffen, Schläpfer Jürg, Henz Selina, Meyer-Zürn Christine, Roten Laurent, Schwenkglenks Matthias, Sticherling Christian, Kühne Michael, Osswald Stefan, Conen David, Shah Dipen, Di Valentino Marcello, Moschovitis Giorgio, Aeschbacher Stefanie, Meyre Pascal, Zwimpfer Leon, Reichlin Tobias, Beer Jürg H, Ammann Peter, Auricchio Angelo, Kobza Richard, Erne Paul, Swiss‐AF Investigators

Citation

Blum S, Schläpfer J, Henz S, Meyer-Zürn C, Roten L, Schwenkglenks M, Sticherling C, Kühne M, Osswald S, Conen D, Shah D, Di Valentino M, Moschovitis G, Aeschbacher S, Meyre P, Zwimpfer L, Reichlin T, Beer J, Ammann P, Auricchio A, Kobza R, Erne P, Swiss‐AF Investigators. Incidence and Predictors of Atrial Fibrillation Progression. J Am Heart Assoc 2019; 8:e012554.

Type

Journal Paper/Review (English)

Journal

J Am Heart Assoc 2019; 8

Publication Date

Oct 8, 2019

Issn Electronic

2047-9980

Pages

e012554

Brief description/objective

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.