Literature DB >> 16836663

Risk stratification in patients with Brugada syndrome: analysis of daily fluctuations in 12-lead electrocardiogram (ECG) and signal-averaged electrocardiogram (SAECG).

Hiroaki Tatsumi1, Masahiko Takagi, Eiichiro Nakagawa, Hajime Yamashita, Minoru Yoshiyama.   

Abstract

INTRODUCTION: Risk stratification between symptomatic and asymptomatic patients with Brugada syndrome is not yet established. We compared daily fluctuations in 12-lead electrocardiogram (ECG) and signal-averaged ECG (SAECG) characteristics between symptomatic and asymptomatic patients with Brugada syndrome to identify new markers for distinguishing between high- and low-risk patients. METHODS AND
RESULTS: Thirty-five patients with Brugada syndrome underwent ECG and SAECG simultaneously at least 4 times every 3 months. We evaluated daily fluctuations (differences between maximum and minimum values) in ECG and SAECG characteristics and compared them between symptomatic (N = 11), and asymptomatic (N = 24) patients. On ECG, the daily fluctuations in r-J interval (interval from QRS onset to J point) in leads V1, V2, and V6 were significantly larger in symptomatic than in asymptomatic patients (V1; 20 +/- 6 vs 10 +/- 8 msec, P < 0.01, V2; 22 +/- 8 vs 11 +/- 4 msec, P < 0.01, and V6; 24 +/- 7 vs 14 +/- 7 msec, P < 0.01). On SAECG, daily fluctuations in filtered QRS (f-QRS) duration and LAS40 were significantly larger in symptomatic than in asymptomatic patients (f-QRS; 15 +/- 7 vs 9 +/- 4 msec, P < 0.05, and LAS40; 21 +/- 7 vs 10 +/- 6 msec, P < 0.05).
CONCLUSIONS: Instability of depolarization appears to be related to the risk of fatal ventricular arrhythmias in patients with Brugada syndrome. Daily fluctuations in ECG and SAECG characteristics could be useful for distinguishing between high- and low-risk patients with Brugada syndrome.

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Year:  2006        PMID: 16836663     DOI: 10.1111/j.1540-8167.2006.00508.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  12 in total

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2.  Brugada Syndrome with Spontaneous Fluctuation in ECG Pattern.

Authors:  Abhishek Goyal; Varun Loomba; Naved Aslam; Bishav Mohan; Gurpreet Singh Wander
Journal:  J Clin Diagn Res       Date:  2017-09-01

3.  Utility of 12-lead and signal-averaged Holter electrocardiograms after pilsicainide provocation for risk stratification in Brugada syndrome.

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Review 4.  J-wave syndromes: Brugada and early repolarization syndromes.

Authors:  Charles Antzelevitch; Gan-Xin Yan
Journal:  Heart Rhythm       Date:  2015-04-11       Impact factor: 6.343

Review 5.  Brugada Syndrome:Risk Stratification And Management.

Authors:  Konstantinos P Letsas; Stamatis Georgopoulos; Konstantinos Vlachos; Nikolaos Karamichalakis; Ioannis Liatakis; Panagiotis Korantzopoulos; Tong Liu; Michael Efremidis; Antonios Sideris
Journal:  J Atr Fibrillation       Date:  2016-08-31

6.  Abnormal repolarization as the basis for late potentials and fractionated electrograms recorded from epicardium in experimental models of Brugada syndrome.

Authors:  Tamás Szél; Charles Antzelevitch
Journal:  J Am Coll Cardiol       Date:  2014-03-19       Impact factor: 24.094

7.  Risk stratification in young patients with channelopathies.

Authors:  N Sreeram; U Trieschmann; M Khalil; M Emmel
Journal:  Indian Pacing Electrophysiol J       Date:  2010-06-05

8.  Brugada syndrome: Controversies in Risk stratification and Management.

Authors:  Lm Nunn; J Bhar-Amato; Pd Lambiase
Journal:  Indian Pacing Electrophysiol J       Date:  2010-09-05

9.  Diagnostic and genetic aspects of the Brugada and other inherited arrhythmias syndromes.

Authors:  Charles Antzelevitch; Arthur Wilde; Lars Eckardt; Masayasu Hiraoka; Domenico Corrado
Journal:  J Electrocardiol       Date:  2007-01       Impact factor: 1.438

10.  Brugada syndrome with elevated cardiac biomarkers.

Authors:  Fatima AlKendi; Mujgan Jamil; Anwer Qureshi; Gohar Jamil
Journal:  BMJ Case Rep       Date:  2013-06-27
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