Predictors of atrial tachyarrhythmias in subjects with type 1 ECG pattern of brugada syndrome

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Abstract

Background: Previous studies have demonstrated a high incidence of atrial tachyarrhythmias (ATs) in patients with Brugada syndrome (BS). The present study aimed to investigate whether various 12-lead electrocardiogram (ECG) and electrophysiological parameters may help to differentiate subjects with a high probability to develop ATs. Methods and Results: The clinical records of 38 individuals (31 males, age 44.4 ± 13.9) with spontaneous (n = 15) or ajmaline-induced (n = 23) type 1 ECG pattern of BS were analyzed. During a mean follow-up period of 4.6 ± 2.2 years, nine subjects suffered ATs (24%). Six subjects displayed paroxysmal atrial fibrillation and three typical atrial flutter. Among the studied 12-lead ECG parameters, subjects with ATs exhibited increased values of P-wave duration in lead II, P-wave dispersion, PR interval in leads II, QRS duration in leads II and V2, Tpeak-end interval in lead II, and Tpeak-end dispersion of the 12 leads in relation to those without ATs (P < 0.05). Among the assessed electrophysiological parameters, atrial-His (AH) and His-ventricular (HV) intervals were significantly prolonged in subjects with ATs (P < 0.05). Multiple Cox proportional hazards analysis revealed that P-wave duration in lead II, P-wave dispersion, Tpeak-end in lead II, Tpeak-end dispersion of the 12 leads, as well as AH and HV intervals are independent predictors of ATs in subjects with BS (P < 0.05). Cut-off point analysis showed that an HV interval ≥56 ms displayed the highest predictive ability (P < 0.01). Conclusion: Our findings demonstrate that simple 12-lead ECG and electrophysiological parameters may easily be applied to identify high-risk subjects with BS ECG phenotype to develop ATs. © 2009 Wiley Periodicals, Inc.

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Letsas, K. P., Weber, R., Astheimer, K., Mihas, C. C., Stockinger, J., Blum, T., … Arentz, T. (2009). Predictors of atrial tachyarrhythmias in subjects with type 1 ECG pattern of brugada syndrome. PACE - Pacing and Clinical Electrophysiology, 32(4), 500–505. https://doi.org/10.1111/j.1540-8159.2009.02311.x

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