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Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome

Fragmented QRS (fQRS) is an electrocardiographic marker related to ventricular fibrillation (VF) and sudden cardiac death (SCD) in various clinical settings. Current data regarding the prognostic significance of fQRS in Brugada syndrome (BrS) are contradictory. This meta-analysis aimed to evaluate t...

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Autores principales: Meng, Lei, Letsas, Konstantinos P., Baranchuk, Adrian, Shao, Qingmiao, Tse, Gary, Zhang, Nixiao, Zhang, Zhiwei, Hu, Dan, Li, Guangping, Liu, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600929/
https://www.ncbi.nlm.nih.gov/pubmed/28955245
http://dx.doi.org/10.3389/fphys.2017.00678
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author Meng, Lei
Letsas, Konstantinos P.
Baranchuk, Adrian
Shao, Qingmiao
Tse, Gary
Zhang, Nixiao
Zhang, Zhiwei
Hu, Dan
Li, Guangping
Liu, Tong
author_facet Meng, Lei
Letsas, Konstantinos P.
Baranchuk, Adrian
Shao, Qingmiao
Tse, Gary
Zhang, Nixiao
Zhang, Zhiwei
Hu, Dan
Li, Guangping
Liu, Tong
author_sort Meng, Lei
collection PubMed
description Fragmented QRS (fQRS) is an electrocardiographic marker related to ventricular fibrillation (VF) and sudden cardiac death (SCD) in various clinical settings. Current data regarding the prognostic significance of fQRS in Brugada syndrome (BrS) are contradictory. This meta-analysis aimed to evaluate the presence of fQRS as a risk stratification tool in BrS. Electronic databases (PubMed, EMBASE, and Cochrane Library) were searched until May 2016. Eight observational studies accumulating data on 1,637 BrS patients (mean age: 47 ± 11 years) were included in this meta-analysis. The mean follow-up duration ranged from 21 to 96 months. fQRS was found to be an independent predictor of future arrhythmic events in BrS (RR:3.88, 95% CI 2.26 to 6.65, p < 0.00001) with moderate heterogeneity (I(2) = 54%, P = 0.03). When analyzing VF as independent end-point, the RR for VF was 3.61, and its 95% CI was 2.11 to 6.18, p < 0.00001. This meta-analysis showed that BrS patients with fQRS are at high risk for future arrhythmic events. The presence of fQRS warrants prospective evaluation as valid arrhythmogenic risk marker in BrS.
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spelling pubmed-56009292017-09-27 Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome Meng, Lei Letsas, Konstantinos P. Baranchuk, Adrian Shao, Qingmiao Tse, Gary Zhang, Nixiao Zhang, Zhiwei Hu, Dan Li, Guangping Liu, Tong Front Physiol Physiology Fragmented QRS (fQRS) is an electrocardiographic marker related to ventricular fibrillation (VF) and sudden cardiac death (SCD) in various clinical settings. Current data regarding the prognostic significance of fQRS in Brugada syndrome (BrS) are contradictory. This meta-analysis aimed to evaluate the presence of fQRS as a risk stratification tool in BrS. Electronic databases (PubMed, EMBASE, and Cochrane Library) were searched until May 2016. Eight observational studies accumulating data on 1,637 BrS patients (mean age: 47 ± 11 years) were included in this meta-analysis. The mean follow-up duration ranged from 21 to 96 months. fQRS was found to be an independent predictor of future arrhythmic events in BrS (RR:3.88, 95% CI 2.26 to 6.65, p < 0.00001) with moderate heterogeneity (I(2) = 54%, P = 0.03). When analyzing VF as independent end-point, the RR for VF was 3.61, and its 95% CI was 2.11 to 6.18, p < 0.00001. This meta-analysis showed that BrS patients with fQRS are at high risk for future arrhythmic events. The presence of fQRS warrants prospective evaluation as valid arrhythmogenic risk marker in BrS. Frontiers Media S.A. 2017-09-12 /pmc/articles/PMC5600929/ /pubmed/28955245 http://dx.doi.org/10.3389/fphys.2017.00678 Text en Copyright © 2017 Meng, Letsas, Baranchuk, Shao, Tse, Zhang, Zhang, Hu, Li and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Meng, Lei
Letsas, Konstantinos P.
Baranchuk, Adrian
Shao, Qingmiao
Tse, Gary
Zhang, Nixiao
Zhang, Zhiwei
Hu, Dan
Li, Guangping
Liu, Tong
Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome
title Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome
title_full Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome
title_fullStr Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome
title_full_unstemmed Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome
title_short Meta-analysis of Fragmented QRS as an Electrocardiographic Predictor for Arrhythmic Events in Patients with Brugada Syndrome
title_sort meta-analysis of fragmented qrs as an electrocardiographic predictor for arrhythmic events in patients with brugada syndrome
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600929/
https://www.ncbi.nlm.nih.gov/pubmed/28955245
http://dx.doi.org/10.3389/fphys.2017.00678
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