Literature DB >> 29550771

Atrial fibrillation patterns are associated with arrhythmia progression and clinical outcomes.

Renate B Schnabel1,2, Ladislav Pecen3, Daniel Engler1,2, Markus Lucerna4, Jean Marc Sellal5, Francisco M Ojeda1,2, Raffaele De Caterina6,7, Paulus Kirchhof8,9.   

Abstract

OBJECTIVES: Determinants of atrial fibrillation (AF) patterns and of progression of earlier forms to permanent AF, and their relationship with outcome are still poorly understood.
METHODS: We examined AF patterns (paroxysmal, persistent and permanent), rate and predictors of AF progression, and outcomes in the PREFER (PREvention oF thromboembolic events-European Registry) in AF. The primary analysis was performed in the PREFER in AF prolongation dataset (n=3223 patients with AF with a complete 1-year follow-up, mean age 72±9 years, 40% women). Sensitivity analyses were performed using the PREFER in the AF study (n=6390 patients).
RESULTS: AF progressed to more persistent types in 506 patients (17%). Permanent AF was associated with development of heart failure at 1 year (OR 1.80, 95% CI 1.06 to 3.07, p=0.03) compared with paroxysmal AF, which was confirmed in the entire cohort. In multivariable-adjusted models, sinus rhythm at baseline, AF duration, cardioversion, hyperthyroidism, valvular heart disease, diabetes mellitus and heart failure were predictors of AF progression (area under the receiver operating characteristic curve 0.60, 95% CI 0.57 to 0.63). Results were similar when we restricted analyses to patients with AF duration <1 year. AF progression showed an association with coronary events over 1 year (OR 2.27, 95% CI 1.22 to 4.19, p=0.0074).
CONCLUSIONS: Permanent AF at baseline was associated with incident heart failure. A substantial proportion of well-managed patients with AF showed AF progression over 1 year. AF progression itself was not strongly related to outcome and may indicate the need to refine the current classification of AF types to enhance clinical utility. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  atrial fibrillation; epidemiology

Mesh:

Year:  2018        PMID: 29550771     DOI: 10.1136/heartjnl-2017-312569

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  3 in total

1.  Genetically-determined body mass index and the risk of atrial fibrillation progression in men and women.

Authors:  J E Siland; B O Nguyen; R R de With; I C Van Gelder; P van der Harst; M Rienstra
Journal:  PLoS One       Date:  2021-02-18       Impact factor: 3.240

2.  Leukocyte Telomere Length Predicts Progression From Paroxysmal to Persistent Atrial Fibrillation in the Long Term After Catheter Ablation.

Authors:  Qianhui Wang; Zheng Liu; Ying Dong; Xinchun Yang; Mulei Chen; Yuanfeng Gao
Journal:  Front Cardiovasc Med       Date:  2022-01-24

3.  Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis.

Authors:  Fadi Alijla; Chepkoech Buttia; Tobias Reichlin; Salman Razvi; Beatrice Minder; Matthias Wilhelm; Taulant Muka; Oscar H Franco; Arjola Bano
Journal:  Cardiovasc Diabetol       Date:  2021-12-07       Impact factor: 9.951

  3 in total

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