Literature DB >> 25456872

Prevalence of type 1 brugada electrocardiographic pattern evaluated by twelve-lead twenty-four-hour holter monitoring.

Natascia Cerrato1, Carla Giustetto2, Elena Gribaudo1, Elena Richiardi3, Lorella Barbonaglia4, Chiara Scrocco1, Domenica Zema1, Fiorenzo Gaita1.   

Abstract

Patients with drug-induced type 1 Brugada electrocardiograms (BrECGs) are considered to have good prognosis. Spontaneous type 1 is, instead, considered a risk factor; however, it is probably underestimated because of the BrECG fluctuations. The aim of this study was to analyze, in a large population of patients with Br, the real prevalence of type 1 BrECG using 12-lead 24-hour Holter monitoring (12L-Holter) and its correlation with the time of the day. We recorded 303 12L-Holter in 251 patients. Seventy-five (30%) patients exhibited spontaneous type 1 BrECG at 12-lead ECG (group 1) and 176 (70%) had only drug-induced type 1 (group 2). Type 1 BrECG was defined as "persistent" (>85% of the recording), "intermittent" (<85%), or "absent." In group 1, 12% showed persistent type 1 at 12L-Holter, 57% intermittent type 1%, and 31% never had type 1; in group 2, none had persistent type 1, 20% had intermittent type 1%, and 80% never showed type 1. To evaluate the circadian fluctuations of BrECG, 4 periods in the day were considered. Type 1 BrECG was more frequent between 12-noon and 6 p.m. (52%, p <0.001). In conclusion, in patients with drug-induced type 1, spontaneous type 1 BrECG can be detected more frequently with 12L-Holter than with conventional follow-up with periodic ECGs and this has important implications in the risk stratification. 12L-Holter recording might avoid 20% of the pharmacological challenges with sodium channel blockers, which are not without risks, and should thus be considered as the first screening test, particularly in children or in presence of borderline diagnostic basal ECG.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25456872     DOI: 10.1016/j.amjcard.2014.10.007

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  5 in total

1.  A Case of Brugada Pattern Migrant from Right Precordial Leads to Peripheral Leads.

Authors:  Francesco Luzza; Pasquale Crea; Angela Nicotera; Giuseppe Picciolo; Pietro Pugliatti; Giuseppe Oreto
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-10-30       Impact factor: 1.468

2.  2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry.

Authors:  Jonathan S Steinberg; Niraj Varma; Iwona Cygankiewicz; Peter Aziz; Paweł Balsam; Adrian Baranchuk; Daniel J Cantillon; Polychronis Dilaveris; Sergio J Dubner; Nabil El-Sherif; Jaroslaw Krol; Malgorzata Kurpesa; Maria Teresa La Rovere; Suave S Lobodzinski; Emanuela T Locati; Suneet Mittal; Brian Olshansky; Ewa Piotrowicz; Leslie Saxon; Peter H Stone; Larisa Tereshchenko; Mintu P Turakhia; Gioia Turitto; Neil J Wimmer; Richard L Verrier; Wojciech Zareba; Ryszard Piotrowicz
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-05       Impact factor: 1.468

Review 3.  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

4.  Transient ascending ST-segment depression and widening of the S wave in 3-channel Holter monitoring-A sign of dromotropic disturbance in the right ventricular outflow tract in the Brugada syndrome: A report of five cases.

Authors:  Antonio Thomaz de Andrade; Raimundo Barbosa-Barros; Kjell Nikus; Rodrigo D Raimundo; Luiz C de Abreu; Luciana Sacilotto; Francisco C C Darriuex; Frank G Yanowitz; Pedro Brugada; Andrés Ricardo Pérez-Riera
Journal:  Ann Noninvasive Electrocardiol       Date:  2021-12-09       Impact factor: 1.485

5.  Effect of Mobile Internet on Attitude and Self-Efficacy of Patients with Coronary Heart Disease Diagnosed by 12-Lead Holter ECG.

Authors:  Haitao Sun; Jing Li; Yue Wang; Xiaoke Ma
Journal:  J Healthc Eng       Date:  2022-01-07       Impact factor: 2.682

  5 in total

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