Literature DB >> 29238365

Spontaneous type 1 pattern, ventricular arrhythmias and sudden cardiac death in Brugada Syndrome: an updated systematic review and meta-analysis.

Ahmed Bayoumy1,2,3, Meng-Qi Gong4, Ka Hou Christien Li5, Sunny Hei Wong1,2, William Kk Wu2,6, Guang-Ping Li4, George Bazoukis7, Konstantinos P Letsas7, Wing Tak Wong8, Yun-Long Xia9, Tong Liu4, Gary Tse1,2.   

Abstract

Entities:  

Keywords:  Brugada syndrome; Risk stratification; Spontaneous type 1; Sudden cardiac death; Ventricular arrhythmia

Year:  2017        PMID: 29238365      PMCID: PMC5721199          DOI: 10.11909/j.issn.1671-5411.2017.10.010

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


× No keyword cloud information.
Brugada syndrome (BrS) is primary electrical disorder characterized by ST segment elevation with right bundle branch block morphology in patients with apparent structurally normal hearts.[1] It predisposes affected individuals to ventricular tachycardia/fibrillation (VT/VF) and sudden cardiac death (SCD).[2] A number of studies have identified risk factors that are associated with a more malignant course of disease. These include male gender, syncope, a spontaneous type 1 ECG pattern, family history of SCD, family history of Brugada syndrome, loss-of-function mutations in the SCN5a gene, inducible VT/VF during programmed electrical stimulation. Of these risk factors, many studies have demonstrated that the presence of a spontaneous type 1 pattern is associated with a significantly higher risk of VT/VF or SCD, but other studies have demonstrated a lack of significant predictive value. Three meta-analyses have addressed the prognostic value of a spontaneous type 1 Brugada pattern. Firstly, Letsas, et al.[3] examined its predictive value in six studies involving 2219 asymptomatic patients only, demonstrating a 3.6-fold increase in the risk of future arrhythmic events. Secondly, Wu, et al.[4] examined only prospective studies (n = 8) that included 1150 patients, demonstrating a 4-fold increase in the risk. Finally, Gehi, et al.[5] examined also only prospective studies (n = 3) in 935 patients, demonstrating a relative risk of 4.7. In this study, we performed an updated systematic review and meta-analysis, which includes the largest number of studies and patient numbers. PubMed and Embase were searched for studies that investigated the association between a spontaneous type 1 Brugada pattern on the ECG and ventricular arrhythmias and SCD in Brugada syndrome. The following search terms were used for both databases: “Brugada syndrome spontaneous type 1”. The search period was from the beginning of the database through to 30th June 2017 without language restrictions. The following inclusion criteria were used: (1) the study was a case-control, prospective or retrospective cohort study in human subjects with a Brugada phenotype; and (2) data on the relationship between a type 1 pattern and adverse events (appropriate implantable cardioverter defibrillator shocks, VT/VF, and SCD) were reported. A total of 139 and 10 entries were retrieved from PubMed and Embase, respectively. After reference trawling and excluding overlapping populations, a total of 6561 Brugada patients from 24 studies were included.[6]–[29] The mean age was 44 ± 16 years and 73% of the patients were male, with a mean follow-up of 50 ± 36 months. Table 1 shows the baseline characteristics of these studies and the study populations. Quality analysis of the included studies by using the Newcastle-Ottawa Scale was shown in Table 2. The main finding of our meta-analysis is that the presence of a spontaneous type 1 pattern on the ECG confers 2.3 times the risk of ventricular arrhythmias or SCD in Brugada syndrome. There was a low level of heterogeneity (I2 = 42%) with significant publication bias (Kendall's tau = 0.37, P < 0.05).
Table 1.

Characteristics of the studies included in this meta-analysis.

StudiesStudy designSample size (n)AgeMalesEndpointsFollow-up duration (months)Univariate or multivariateMultivariate variables
Kitamura T, et al.[8]R30430169VT/VF91U-
Sieira J, et al.[9]P40041233SCD + ICD Shock81U-
Andorin A, et al.[13]R1061158SCD + ICD Shock + VT/VF54MAge and ICD
Casado-Arroyo R, et al.[11]P44745336SCD + ICD Shock + VT/VF50U-
Kawazoe H, et al.[12]R14346140VF83U-
Rivard L, et al.[10]R1054683aSCD + appropriate ICD shocks60MMax Tp-e and QRS in lead 6
Conte G, et al.[16]P17643118Appropriate ICD shocks84U-
Dores H, et al.[15]R554230Appropriate ICD shocks74U-
Maury P, et al.[14]R32547258SCD + appropriate ICD shocks48MSp1 ST elevation, SCN5A mutation, family history of SCD, QRS duration, Max Tp-e
Okamura H, et al.[17]R21846211SCD + appropriate ICD shocks78MSp1, Syncope, inducibility of VF (PES+)
Son MK, et al.[19]R694868Appropriate/inappropriate ICD shocks57MAge, presence of palpitations, sVT before implantation of ICD
Tokioka K, et al.[18]R24648236SCD + ICD Shock + VF45U-
Hiraoka M, et al.[20]P46052432SCD + VF43U-
Daoulah A, et al.[21]R253225Appropriate ICD shocks41NA-
Delise P, et al.[23]P32043258SCD + VF40MSyncope, basal type 1 ECG
Nishii N, et al.[22]P1084910Appropriate ICD shocks72U-
Probst V, et al.[25]R102945745SCD + appropriate ICD shocks32MSymptoms at diagnosis (aSCD/asymptomatic/syncope), Sp1, age, gender, EPS
Richter S, et al.[24]P18643115aSCD + appropriate ICD shocks + VF57U
Giustetto C, et al.[27]P16642138aSCD + appropriate ICD shocks + VF30U-
Kamakura S, et al.[26]R33051315SCD + VF49U-
Benito B, et al.[28]P38446272SCD + VF58MGender, previous AF, symptoms at diagnosis (syncope, aSCD), Sp1, EPS
Eckardt L, et al.[29]R21245152Appropriate ICD shocks + VF40U-
Brugada J, et al.[6]P54741408SCD + VF24MGender, Sp1, syncope, EPS (inducible)
Priori SG, et al.[7]P20041152Cardiac arrest34U-

AF: atrial fibrillation; aICD: appropriate implantable cardioverter defibrillator; aSCD: aborted sudden cardiac death; EPS: electrophysiological study; ICD: implantable cardioverter defibrillator; M: multivariate; NA: not available; P: prospective; R: retrospective; sVT: sustained ventricular tachycardia; U: univariate; VF: ventricular fibrillation.

Table 2.

NOS risk of bias scale for included cohort studies.

StudiesSelection
Outcome
Representativeness of the exposed cohortSelection of the non-exposed cohortAscertainment of exposureOutcome of interest not present at start of studyComparabilityAssessment of outcomeAdequacy of duration of follow-upAdequacy of completeness of follow-upTotal score (0–9)
Priori SG, et al.[7]101001115
Brugada J, et al.[6]101101116
Benito B, et al.[28]101101116
Delise P, et al.[23]10112 (gender, family history of SCD)1118
Probst V, et al.[25]101101116
Nishii N, et al.[22]101101116
Daoulah A, et al.[21]101001115
Hiraoka M, et al.[20]10112 (gender, family history of SCD)1118
Son MK, et al.[19]10101 (gender)1116
Tokioka K, et al.[18]10101 (family history of SCD)1116
Conte G, et al.[16]10112 (gender, family history of SCD)1118
Dores H, et al.[15]10102 (gender, family history of SCD)1117
Okamura H, et al.[17]10102 (gender, family history of SCD)1117
Andorin A, et al.[13]10112 (gender, family history of SCD)1118
Casado-Arroyo R, et al.[11]10112 (gender, family history of SCD)1118
Kawazoe H, et al.[12]10102 (gender, family history of SCD)1117
Rivard L, et al.[10]10111 (gender)1117
Kitamura T, et al.[8]10102 (gender, family history of SCD)1117
Sieira, et al.[9]10111 (gender)1117

NOS: Newcastle-Ottawa scale; SCD: sudden cardiac death.

AF: atrial fibrillation; aICD: appropriate implantable cardioverter defibrillator; aSCD: aborted sudden cardiac death; EPS: electrophysiological study; ICD: implantable cardioverter defibrillator; M: multivariate; NA: not available; P: prospective; R: retrospective; sVT: sustained ventricular tachycardia; U: univariate; VF: ventricular fibrillation. NOS: Newcastle-Ottawa scale; SCD: sudden cardiac death. The ECG is a simple and non-invasive test that provides information on cardiac electrophysiological properties of the test subjects. A spontaneous Brugada pattern indicates the presence of both depolarization and repolarization abnormalities at baseline, which represent substrates for re-entrant arrhythmogenesis.[30]–[32] This is in contrast to the presence of a type 2 or type 3 Brugada pattern, which can be converted to a type 1 pattern using drug challenge.[33] In addition to this type 1 characteristic pattern, detailed analyses of conduction and repolarization intervals from the 12-lead ECG can aid risk stratification.[34]–[37] For example, a recent meta-analysis has demonstrated that prolonged Tpeak–Tend intervals, which represent a higher dispersion of repolarization, whilst another showed that fragmented QRS complex,[38] which indicates dispersion of conduction, are associated with higher risk of ventricular arrhythmias and sudden death in Brugada syndrome. Our meta-analysis shows patients with spontaneous type 1 Brugada pattern are at a high risk of adverse events. The ECG is a valuable tool that can aid clinicians to identify such high-risk individuals, who will require primary prevention by implantable cardioverter-defibrillator insertion.
  37 in total

1.  Meta-Analysis on Risk Stratification of Asymptomatic Individuals With the Brugada Phenotype.

Authors:  Konstantinos P Letsas; Tong Liu; Qingmiao Shao; Panagiotis Korantzopoulos; Georgios Giannopoulos; Konstantinos Vlachos; Stamatis Georgopoulos; Athanasios Trikas; Michael Efremidis; Spyridon Deftereos; Antonios Sideris
Journal:  Am J Cardiol       Date:  2015-04-08       Impact factor: 2.778

2.  Risk stratification in patients with Brugada syndrome without previous cardiac arrest – prognostic value of combined risk factors.

Authors:  Hideo Okamura; Tsukasa Kamakura; Hiroshi Morita; Koji Tokioka; Ikutaro Nakajima; Mitsuru Wada; Kohei Ishibashi; Koji Miyamoto; Takashi Noda; Takeshi Aiba; Nobuhiro Nishii; Satoshi Nagase; Wataru Shimizu; Satoshi Yasuda; Hisao Ogawa; Shiro Kamakura; Hiroshi Ito; Tohru Ohe; Kengo F Kusano
Journal:  Circ J       Date:  2014-11-26       Impact factor: 2.993

3.  Long-Term Trends in Newly Diagnosed Brugada Syndrome: Implications for Risk Stratification.

Authors:  Ruben Casado-Arroyo; Paola Berne; Jayakeerthi Yoganarasimha Rao; Moisés Rodriguez-Mañero; Moisés Levinstein; Giulio Conte; Juan Sieira; Mehdi Namdar; Danilo Ricciardi; Gian-Battista Chierchia; Carlo de Asmundis; Gudrun Pappaert; Mark La Meir; Francis Wellens; Josep Brugada; Pedro Brugada
Journal:  J Am Coll Cardiol       Date:  2016-08-09       Impact factor: 24.094

4.  Risk stratification of individuals with the Brugada electrocardiogram: a meta-analysis.

Authors:  Anil K Gehi; Truong D Duong; Louise D Metz; J Anthony Gomes; Davendra Mehta
Journal:  J Cardiovasc Electrophysiol       Date:  2006-06

5.  Predictors of Ventricular Arrhythmias and Sudden Death in a Québec Cohort With Brugada Syndrome.

Authors:  Lena Rivard; Antoine Roux; Isabelle Nault; Jean Champagne; Jean-François Roux; Rafik Tadros; Mario Talajic; Julia Cadrin-Tourigny; Azadeh Shohoudi; Blandine Mondésert; Denis Roy; Laurent Macle; Jason Andrade; Katia Dyrda; Marc Dubuc; Peter G Guerra; Jean-François Sarrazin; Bernard Thibault; Paul Khairy
Journal:  Can J Cardiol       Date:  2016-03-31       Impact factor: 5.223

6.  Risk stratification in individuals with the Brugada type 1 ECG pattern without previous cardiac arrest: usefulness of a combined clinical and electrophysiologic approach.

Authors:  Pietro Delise; Giuseppe Allocca; Elena Marras; Carla Giustetto; Fiorenzo Gaita; Luigi Sciarra; Leonardo Calo; Alessandro Proclemer; Marta Marziali; Luca Rebellato; Giuseppe Berton; Leonardo Coro; Nadir Sitta
Journal:  Eur Heart J       Date:  2010-10-26       Impact factor: 29.983

7.  Novel conduction-repolarization indices for the stratification of arrhythmic risk.

Authors:  Gary Tse
Journal:  J Geriatr Cardiol       Date:  2016-09       Impact factor: 3.327

8.  Variability in local action potential durations, dispersion of repolarization and wavelength restitution in aged wild-type and Scn5a+/- mouse hearts modeling human Brugada syndrome.

Authors:  Gary Tse; Sheung Ting Wong; Vivian Tse; Jie Ming Yeo
Journal:  J Geriatr Cardiol       Date:  2016-11       Impact factor: 3.327

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

Authors:  Lei Meng; Konstantinos P Letsas; Adrian Baranchuk; Qingmiao Shao; Gary Tse; Nixiao Zhang; Zhiwei Zhang; Dan Hu; Guangping Li; Tong Liu
Journal:  Front Physiol       Date:  2017-09-12       Impact factor: 4.566

10.  Determination of action potential wavelength restitution in Scn5a+/- mouse hearts modelling human Brugada syndrome.

Authors:  Gary Tse; Sheung Ting Wong; Vivian Tse; Jie Ming Yeo
Journal:  J Geriatr Cardiol       Date:  2017-09       Impact factor: 3.327

View more
  5 in total

Review 1.  High risk electrocardiographic markers in Brugada syndrome.

Authors:  Dimitrios Asvestas; Gary Tse; Adrian Baranchuk; George Bazoukis; Tong Liu; Athanasios Saplaouras; Panagiotis Korantzopoulos; Christina Goga; Michael Efremidis; Antonios Sideris; Konstantinos P Letsas
Journal:  Int J Cardiol Heart Vasc       Date:  2018-03-08

2.  Tpeak-Tend, Tpeak-Tend/QT ratio and Tpeak-Tend dispersion for risk stratification in Brugada Syndrome: A systematic review and meta-analysis.

Authors:  Gary Tse; Mengqi Gong; Christien Ka Hou Li; Keith Sai Kit Leung; Stamatis Georgopoulos; George Bazoukis; Konstantinos P Letsas; Abhishek C Sawant; Giacomo Mugnai; Martin C S Wong; Gan Xin Yan; Pedro Brugada; Gian-Battista Chierchia; Carlo de Asmundis; Adrian Baranchuk; Tong Liu
Journal:  J Arrhythm       Date:  2018-09-10

Review 3.  Brugada syndrome: A comprehensive review of pathophysiological mechanisms and risk stratification strategies.

Authors:  Ka Hou Christien Li; Sharen Lee; Chengye Yin; Tong Liu; Tachapong Ngarmukos; Giulio Conte; Gan-Xin Yan; Raymond W Sy; Konstantinos P Letsas; Gary Tse
Journal:  Int J Cardiol Heart Vasc       Date:  2020-01-21

4.  Higher Dispersion Measures of Conduction and Repolarization in Type 1 Compared to Non-type 1 Brugada Syndrome Patients: An Electrocardiographic Study From a Single Center.

Authors:  Gary Tse; Ka Hou Christien Li; Guangping Li; Tong Liu; George Bazoukis; Wing Tak Wong; Matthew T V Chan; Martin C S Wong; Yunlong Xia; Konstantinos P Letsas; Gary Chin Pang Chan; Yat Sun Chan; William K K Wu
Journal:  Front Cardiovasc Med       Date:  2018-10-04

Review 5.  Recent Non-Invasive Parameters to Identify Subjects at High Risk of Sudden Cardiac Death.

Authors:  Maria Delia Corbo; Enrica Vitale; Maurizio Pesolo; Grazia Casavecchia; Matteo Gravina; Pierluigi Pellegrino; Natale Daniele Brunetti; Massimo Iacoviello
Journal:  J Clin Med       Date:  2022-03-10       Impact factor: 4.241

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.