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Electrocardiographic Predictors of Atrial Fibrillation.

Published version
Peer-reviewed

Repository DOI


Type

Article

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Authors

Chousou, Panagiota Anna 
Chattopadhyay, Rahul 
Tsampasian, Vasiliki  ORCID logo  https://orcid.org/0000-0003-1534-7587
Vassiliou, Vassilios S  ORCID logo  https://orcid.org/0000-0002-4005-7752
Pugh, Peter John 

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most common pathological arrhythmia, and its complications lead to significant morbidity and mortality. However, patients with AF can often go undetected, especially if they are asymptomatic or have a low burden of paroxysms. Identification of those at high risk of AF development may help refine screening and management strategies. METHODS: PubMed and Embase databases were systematically searched for studies looking at electrocardiographic predictors of AF from inception to August 2021. RESULTS: A total of 115 studies were reported which examined a combination of atrial and ventricular parameters that could be electrocardiographic predictors of AF. Atrial predictors include conduction parameters, such as the PR interval, p-wave index and dispersion, and partial interatrial or advanced interatrial block, or morphological parameters, such as p-wave axis, amplitude and terminal force. Ventricular predictors include abnormalities in QRS amplitude, morphology or duration, QT interval duration, r-wave progression and ST segment, i.e., t-wave abnormalities. CONCLUSIONS: There has been significant interest in electrocardiographic prediction of AF, especially in populations at high risk of atrial AF, such as those with an embolic stroke of undetermined source. This review highlights the breadth of possible predictive parameters, and possible pathological bases for the predictive role of each parameter are proposed.

Description

Keywords

atrial fibrillation, atrial parameters, prediction, ventricular parameters, Humans, Atrial Fibrillation, Electrocardiography, Heart Atria, Heart Rate, Heart Ventricles

Journal Title

Med Sci (Basel)

Conference Name

Journal ISSN

2076-3271
2076-3271

Volume Title

Publisher

MDPI AG