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Electrocardiographic Predictors of Atrial Fibrillation

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 hig...

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Autores principales: Chousou, Panagiota Anna, Chattopadhyay, Rahul, Tsampasian, Vasiliki, Vassiliou, Vassilios S., Pugh, Peter John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123668/
https://www.ncbi.nlm.nih.gov/pubmed/37092499
http://dx.doi.org/10.3390/medsci11020030
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author Chousou, Panagiota Anna
Chattopadhyay, Rahul
Tsampasian, Vasiliki
Vassiliou, Vassilios S.
Pugh, Peter John
author_facet Chousou, Panagiota Anna
Chattopadhyay, Rahul
Tsampasian, Vasiliki
Vassiliou, Vassilios S.
Pugh, Peter John
author_sort Chousou, Panagiota Anna
collection PubMed
description 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.
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spelling pubmed-101236682023-04-25 Electrocardiographic Predictors of Atrial Fibrillation Chousou, Panagiota Anna Chattopadhyay, Rahul Tsampasian, Vasiliki Vassiliou, Vassilios S. Pugh, Peter John Med Sci (Basel) Review 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. MDPI 2023-04-07 /pmc/articles/PMC10123668/ /pubmed/37092499 http://dx.doi.org/10.3390/medsci11020030 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chousou, Panagiota Anna
Chattopadhyay, Rahul
Tsampasian, Vasiliki
Vassiliou, Vassilios S.
Pugh, Peter John
Electrocardiographic Predictors of Atrial Fibrillation
title Electrocardiographic Predictors of Atrial Fibrillation
title_full Electrocardiographic Predictors of Atrial Fibrillation
title_fullStr Electrocardiographic Predictors of Atrial Fibrillation
title_full_unstemmed Electrocardiographic Predictors of Atrial Fibrillation
title_short Electrocardiographic Predictors of Atrial Fibrillation
title_sort electrocardiographic predictors of atrial fibrillation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123668/
https://www.ncbi.nlm.nih.gov/pubmed/37092499
http://dx.doi.org/10.3390/medsci11020030
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