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Biomarkers and the prediction of atrial fibrillation: state of the art

Atrial fibrillation (AF) is the most common sustained arrhythmia encountered in clinical practice, and it places a substantial burden on the health care system. Despite improvements in our understanding of AF pathophysiology, we have yet to develop targeted preventive therapies. Recently, numerous b...

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Autores principales: O’Neal, Wesley T, Venkatesh, Sanjay, Broughton, Stephen T, Griffin, William F, Soliman, Elsayed Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957677/
https://www.ncbi.nlm.nih.gov/pubmed/27486329
http://dx.doi.org/10.2147/VHRM.S75537
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author O’Neal, Wesley T
Venkatesh, Sanjay
Broughton, Stephen T
Griffin, William F
Soliman, Elsayed Z
author_facet O’Neal, Wesley T
Venkatesh, Sanjay
Broughton, Stephen T
Griffin, William F
Soliman, Elsayed Z
author_sort O’Neal, Wesley T
collection PubMed
description Atrial fibrillation (AF) is the most common sustained arrhythmia encountered in clinical practice, and it places a substantial burden on the health care system. Despite improvements in our understanding of AF pathophysiology, we have yet to develop targeted preventive therapies. Recently, numerous biological markers have been identified to aid in the prediction of future AF events. Subclinical markers of atrial stress, inflammation, endothelial dysfunction, kidney dysfunction, and atherosclerosis have been linked to AF. The connection between these markers and AF is the identification of subclinical states in which AF propagation is likely to occur, as these conditions are associated with abnormal atrial remodeling and fibrosis. Additionally, several risk scores have been developed to aid in the identification of at-risk patients. The practicing clinician should be aware of these subclinical markers, as several of these markers improve the predictive abilities of current AF risk scores. Knowledge of these subclinical markers also provides clinicians with a better understanding of AF risk factors, and the opportunity to reduce the occurrence of AF by incorporating well-known cardiovascular disease risk factor modification strategies. In this review, we highlight several novel biological markers that have improved our understanding of AF pathophysiology and appraise the utility of these markers to improve our ability to predict future AF events.
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spelling pubmed-49576772016-08-02 Biomarkers and the prediction of atrial fibrillation: state of the art O’Neal, Wesley T Venkatesh, Sanjay Broughton, Stephen T Griffin, William F Soliman, Elsayed Z Vasc Health Risk Manag Review Atrial fibrillation (AF) is the most common sustained arrhythmia encountered in clinical practice, and it places a substantial burden on the health care system. Despite improvements in our understanding of AF pathophysiology, we have yet to develop targeted preventive therapies. Recently, numerous biological markers have been identified to aid in the prediction of future AF events. Subclinical markers of atrial stress, inflammation, endothelial dysfunction, kidney dysfunction, and atherosclerosis have been linked to AF. The connection between these markers and AF is the identification of subclinical states in which AF propagation is likely to occur, as these conditions are associated with abnormal atrial remodeling and fibrosis. Additionally, several risk scores have been developed to aid in the identification of at-risk patients. The practicing clinician should be aware of these subclinical markers, as several of these markers improve the predictive abilities of current AF risk scores. Knowledge of these subclinical markers also provides clinicians with a better understanding of AF risk factors, and the opportunity to reduce the occurrence of AF by incorporating well-known cardiovascular disease risk factor modification strategies. In this review, we highlight several novel biological markers that have improved our understanding of AF pathophysiology and appraise the utility of these markers to improve our ability to predict future AF events. Dove Medical Press 2016-07-18 /pmc/articles/PMC4957677/ /pubmed/27486329 http://dx.doi.org/10.2147/VHRM.S75537 Text en © 2016 O’Neal et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Review
O’Neal, Wesley T
Venkatesh, Sanjay
Broughton, Stephen T
Griffin, William F
Soliman, Elsayed Z
Biomarkers and the prediction of atrial fibrillation: state of the art
title Biomarkers and the prediction of atrial fibrillation: state of the art
title_full Biomarkers and the prediction of atrial fibrillation: state of the art
title_fullStr Biomarkers and the prediction of atrial fibrillation: state of the art
title_full_unstemmed Biomarkers and the prediction of atrial fibrillation: state of the art
title_short Biomarkers and the prediction of atrial fibrillation: state of the art
title_sort biomarkers and the prediction of atrial fibrillation: state of the art
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957677/
https://www.ncbi.nlm.nih.gov/pubmed/27486329
http://dx.doi.org/10.2147/VHRM.S75537
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