Literature DB >> 31638693

Clinical characteristics and long-term clinical course of patients with Brugada syndrome without previous cardiac arrest: a multiparametric risk stratification approach.

Konstantinos P Letsas1, George Bazoukis1, Michael Efremidis1, Stamatis Georgopoulos1, Panagiotis Korantzopoulos2, Nikolaos Fragakis3, Dimitrios Asvestas1, Konstantinos Vlachos1, Athanasios Saplaouras1, Antigoni Sakellaropoulou1, Panagiotis Mililis1, Panagiotis Strempelas4, Georgios Giannopoulos5, Gerasimos Gavrielatos6, Stylianos Tzeis7, Christoforos Kardamis8, Apostolos Katsivas9, Spyridon Deftereos5, Stavros Stavrakis1,10, Antonios Sideris1.   

Abstract

AIMS: Risk stratification in Brugada syndrome (BrS) still represents an unsettled issue. In this multicentre study, we aimed to evaluate the clinical characteristics and the long-term clinical course of patients with BrS. METHODS AND
RESULTS: A total of 111 consecutive patients (86 males; aged 45.3 ± 13.3 years) diagnosed with BrS were included and followed-up in a prospective fashion. Thirty-seven patients (33.3%) were symptomatic at enrolment (arrhythmic syncope). An electrophysiological study (EPS) was performed in 59 patients (53.2%), and ventricular arrhythmias were induced in 32 (54.2%). A cardioverter defibrillator was implanted in 34 cases (30.6%). During a mean follow-up period of 4.6 ± 3.5 years, appropriate device therapies occurred in seven patients. Event-free survival analysis (log-rank test) showed that spontaneous type-1 electrocardiogram pattern (P = 0.008), symptoms at presentation (syncope) (P = 0.012), family history of sudden cardiac death (P < 0.001), positive EPS (P = 0.024), fragmented QRS (P = 0.004), and QRS duration in lead V2 > 113 ms (P < 0.001) are predictors of future arrhythmic events. Event rates were 0%, 4%, and 60% among patients with 0-1 risk factor, 2-3 risk factors, and 4-5 risk factors, respectively (P < 0.001). Current multiparametric score models exhibit an excellent negative predictive value and perform well in risk stratification of BrS patients.
CONCLUSIONS: Multiparametric models including common risk factors appear to provide better risk stratification of BrS patients than single factors alone. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Brugada syndrome; Primary prevention; Risk stratification; Sudden cardiac death; Ventricular arrhythmias; Ventricular fibrillation

Mesh:

Year:  2019        PMID: 31638693     DOI: 10.1093/europace/euz288

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  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.  Performance of Multiparametric Models in Patients With Brugada Syndrome: A Systematic Review and Meta-Analysis.

Authors:  Hui-Ting Wei; Wei Liu; Yue-Rong Ma; Shi Chen
Journal:  Front Cardiovasc Med       Date:  2022-04-14

3.  Brugada syndrome associated with out-of-hospital cardiac arrest: A case report.

Authors:  Guo-Hua Ni; Hua Jiang; Li Men; Yuan-Yuan Wei; Dila A; Xiang Ma
Journal:  World J Clin Cases       Date:  2021-07-06       Impact factor: 1.337

  3 in total

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