Incidence and predictors of atrial fibrillation progression: A systematic review and meta-analysis.

Atrial Fibrillation / epidemiology Disease Progression Humans Incidence Risk Factors Time Factors
Atrial fibrillation Meta-analysis Paroxysmal atrial fibrillation Persistent atrial fibrillation Progression

Journal

Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317

Informations de publication

Date de publication:
04 2019
Historique:
received: 29 08 2018
pubmed: 27 10 2018
medline: 6 10 2020
entrez: 27 10 2018
Statut: ppublish

Résumé

More sustained forms of atrial fibrillation (AF) are less amenable to treatment and associated with worse outcomes, but the incidence and predictors of AF progression are not well defined. The purpose of this study was to perform a systematic review and meta-analysis assessing the incidence and predictors of AF progression. PubMed, EMBASE, and the Cochrane Library were searched from inception to August 2017. AF progression was defined as progression from paroxysmal to persistent/permanent AF or as progression from persistent to permanent AF. Random effect models were used to calculate pooled cumulative incidence rates. Predictors related to between-study variability were assessed using meta-regression analyses. We identified 47 studies with 27,266 patients who were followed for 105,912 patient-years. The pooled incidence of AF progression was 8.1 per 100 patient-years of follow-up (95% confidence interval [CI] 7.1-9.1 per 100 patient-years of follow-up; I The incidence of AF progression appears to be relatively low, and the incidence seems to decrease with longer follow-up duration. Age, hypertension, baseline AF type, and follow-up duration explained a high percentage of the observed between-study heterogeneity.

Sections du résumé

BACKGROUND
More sustained forms of atrial fibrillation (AF) are less amenable to treatment and associated with worse outcomes, but the incidence and predictors of AF progression are not well defined.
OBJECTIVE
The purpose of this study was to perform a systematic review and meta-analysis assessing the incidence and predictors of AF progression.
METHODS
PubMed, EMBASE, and the Cochrane Library were searched from inception to August 2017. AF progression was defined as progression from paroxysmal to persistent/permanent AF or as progression from persistent to permanent AF. Random effect models were used to calculate pooled cumulative incidence rates. Predictors related to between-study variability were assessed using meta-regression analyses.
RESULTS
We identified 47 studies with 27,266 patients who were followed for 105,912 patient-years. The pooled incidence of AF progression was 8.1 per 100 patient-years of follow-up (95% confidence interval [CI] 7.1-9.1 per 100 patient-years of follow-up; I
CONCLUSION
The incidence of AF progression appears to be relatively low, and the incidence seems to decrease with longer follow-up duration. Age, hypertension, baseline AF type, and follow-up duration explained a high percentage of the observed between-study heterogeneity.

Identifiants

DOI: 10.1016/j.hrthm.2018.10.022 PMID: 30366160
pubmed: 30366160
pii: S1547-5271(18)31049-X
doi: 10.1016/j.hrthm.2018.10.022
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

502-510

Informations de copyright

Copyright © 2018 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Steffen Blum (S)

Division of Cardiology, Department of Medicine, University Hospital Basel, Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland; Division of Internal Medicine, Department of Medicine, University Hospital Basel, Basel, Switzerland.

Pascal Meyre (P)

Division of Cardiology, Department of Medicine, University Hospital Basel, Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.

Stefanie Aeschbacher (S)

Division of Cardiology, Department of Medicine, University Hospital Basel, Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.

Sebastian Berger (S)

Division of Cardiology, Department of Medicine, University Hospital Basel, Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.

Chloé Auberson (C)

Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.

Matthias Briel (M)

Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Stefan Osswald (S)

Division of Cardiology, Department of Medicine, University Hospital Basel, Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.

David Conen (D)

Division of Cardiology, Department of Medicine, University Hospital Basel, Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland; Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada. Electronic address: conend@mcmaster.ca.

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Classifications MeSH

questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Troubles du rythme cardiaque › Fibrillation auriculaire › Incidence and predictors of atrial...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Évolution de la maladie › Incidence and predictors of atrial...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Incidence and predictors of atrial...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Registre civil › Morbidité › Incidence › Incidence and predictors of atrial...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Incidence and predictors of atrial...
questionsmedicales.fr › Phénomènes physiques › Temps › Facteurs temps › Incidence and predictors of atrial...