Literature DB >> 32387420

Incidence and predictors of atrial fibrillation in a Chinese cohort of Brugada syndrome.

Gary Tse1, Sharen Lee2, Ngai Shing Mok3, Tong Liu4, Dong Chang5.   

Abstract

BACKGROUND: Atrial electrophysiological abnormalities have previously been reported in Brugada syndrome. We investigated the incidence and electrocardiographic predictors of atrial fibrillation (AF) in a Chinese cohort of Brugada syndrome patients.
METHODS: A retrospective study of Brugada syndrome patients admitted to tertiary centers in Hong Kong.
RESULTS: A total of 275 patients were included (median age at presentation: 53 [40-64], 247 (90%) males) with a median follow-up duration of 67 (31-113) months. A total of 14 patients (5%) developed AF. Inter-atrial block and AV block were found in 36% (n = 100) and 13% (n = 37) of all patients. Compared to those in sinus rhythm, patients with AF showed significantly longer P-wave duration (PWD) (125 [116-137] vs. 114 [106-124] ms, P = 0.009) and PR interval (190 [163-214] vs. 169 [153-184] ms; P = 0.023). They were more likely to develop syncope (79 vs. 43%; P = 0.012) or VT/VF (43 vs. 14%; P = 0.012), undergo electrophysiological studies (36 vs. 19%; P = 0.005) and receive ICDs (71 vs. 25%; P = 0.001). Univariate logistic regression showed that mean PWD (odds ratio [OR]: 1.03 [1.00-1.06], P = 0.021), PR interval (OR: 1.02 [1.01-1.04]; P = 0.010) and QT interval (OR: 1.02 [1.00-1.04], P = 0.012), syncope (OR: 4.80 [1.31-17.61], P = 0.018) and R-wave amplitude in lead V5 (OR: 0.30 [0.09-1.00]; P = 0.05) significantly predicted incident AF. Receiver operating characteristic analysis revealed an optimum cut-off point of 123 ms and area under the curve of 0.71 for PWD.
CONCLUSION: The incidence of AF was 5% in this cohort. PWD, PR and QT intervals significantly predicted AF and are simple electrocardiographic markers for identifying potential at-risk patients.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Brugada syndrome; P-wave duration

Mesh:

Year:  2020        PMID: 32387420     DOI: 10.1016/j.ijcard.2020.05.007

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  3 in total

1.  Territory-wide cohort study of Brugada syndrome in Hong Kong: predictors of long-term outcomes using random survival forests and non-negative matrix factorisation.

Authors:  Sharen Lee; Jiandong Zhou; Ka Hou Christien Li; Keith Sai Kit Leung; Ishan Lakhani; Tong Liu; Ian Chi Kei Wong; Ngai Shing Mok; Chloe Mak; Kamalan Jeevaratnam; Qingpeng Zhang; Gary Tse
Journal:  Open Heart       Date:  2021-02

2.  Paediatric/young versus adult patients with long QT syndrome.

Authors:  Sharen Lee; Jiandong Zhou; Kamalan Jeevaratnam; Wing Tak Wong; Ian Chi Kei Wong; Chloe Mak; Ngai Shing Mok; Tong Liu; Qingpeng Zhang; Gary Tse
Journal:  Open Heart       Date:  2021-09

3.  Incorporating Latent Variables Using Nonnegative Matrix Factorization Improves Risk Stratification in Brugada Syndrome.

Authors:  Gary Tse; Jiandong Zhou; Sharen Lee; Tong Liu; George Bazoukis; Panagiotis Mililis; Ian C K Wong; Cheng Chen; Yunlong Xia; Tsukasa Kamakura; Takeshi Aiba; Kengo Kusano; Qingpeng Zhang; Konstantinos P Letsas
Journal:  J Am Heart Assoc       Date:  2020-11-10       Impact factor: 5.501

  3 in total

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