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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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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. |
format | Online Article Text |
id | pubmed-5600929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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