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- Title
Evaluation of Time Course and Predicting Factors of Progression of Paroxysmal or Persistent Atrial Fibrillation to Permanent Atrial Fibrillation.
- Authors
SISTI, ANTONIO; LECLERCQ, JEAN F.; HALIMI, FRANCK; FIORELLO, PIERRE; BERTRAND, CATHY; ATTUEL, PATRICK
- Abstract
Background To evaluate time course and predictors of progression of paroxysmal or persistent atrial fibrillation (AF) to permanent AF. Methods and Results We included 460 patients referred for paroxysmal (n = 337) or persistent (n = 123) AF between 1994 and 2012. Mean follow-up was 13.2 ± 6.5 years. AF progression rate was 3.7% per year, 19.7% at 5 years, and 38.1% at 10 years. Lone AF was diagnosed in 217 patients (47%). Predictors of permanent AF were: age, persistent AF, left atrial (LA) size, left ventricular-fractional shortening (LV-FS), lack of antiarrhythmic (AA) drugs, VVI pacing (P < 0.001 for all), and valvular disease (P < 0.02). Independent predictors were age (P < 0.001), persistent AF (P < 0.001), LA diameter (P < 0.005), lack of AA drugs (P < 0.005), and VVI pacing (P < 0.01). When adjusted at means of covariates, persistent AF and age >75 years remained highly significant (P < 0.01). LA dimension >50 mm was highly significant at univariate model (P < 0.001) but to a lesser extent when adjusted (P < 0.05). In patients with paroxysmal AF-with age <75 years-on AA drugs, progression rate to permanent AF was 6.5% at 5 years and 23.7% at 10 years. Among four predictors (age, LA size, LV-FS, and VVI pacing), only age (P < 0.01) and LA size (P < 0.005) remained independently significant, but LA size was not significant when adjusted. Conclusions Progression to permanent AF is a slow process. Aging, LA size, VVI pacing, lack of AA therapy, and a persistent form of AF independently increased the progression to permanent AF.
- Subjects
LEFT heart atrium; AGE distribution; ANALYSIS of variance; ATRIAL fibrillation; CHI-squared test; CONFIDENCE intervals; LONGITUDINAL method; SCIENTIFIC observation; REGRESSION analysis; TIME; DISEASE progression; DATA analysis software; DESCRIPTIVE statistics; PHYSIOLOGY
- Publication
Pacing & Clinical Electrophysiology, 2014, Vol 37, Issue 3, p345
- ISSN
0147-8389
- Publication type
Article
- DOI
10.1111/pace.12264