Letsas Konstantinos P, Weber Reinhold, Astheimer Klaus, Mihas Constantinos C, Stockinger Jochem, Blum Thomas, Kalusche Dietrich, Arentz Thomas
Arrhythmia Service, Herz-Zentrum, Bad Krozingen, Germany.
Pacing Clin Electrophysiol. 2009 Apr;32(4):500-5. doi: 10.1111/j.1540-8159.2009.02311.x.
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.
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 V(2), 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>or=56 ms displayed the highest predictive ability (P < 0.01).
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.
既往研究表明,Brugada综合征(BS)患者房性快速心律失常(ATs)的发生率较高。本研究旨在探讨各种12导联心电图(ECG)和电生理参数是否有助于鉴别发生ATs可能性较大的患者。
分析了38例(31例男性,年龄44.4±13.9岁)具有自发(n = 15)或阿义马林诱发(n = 23)的1型BS心电图模式患者的临床记录。在平均4.6±2.2年的随访期内,9例患者发生了ATs(24%)。6例患者表现为阵发性心房颤动,3例为典型心房扑动。在所研究的12导联ECG参数中,发生ATs的患者与未发生ATs的患者相比,II导联P波时限、P波离散度、II导联PR间期、II导联和V(2)导联QRS时限、II导联T峰-末间期以及12导联T峰-末离散度的值均升高(P < 0.05)。在评估的电生理参数中,发生ATs的患者心房-希氏束(AH)和希氏束-心室(HV)间期显著延长(P < 0.05)。多因素Cox比例风险分析显示,II导联P波时限、P波离散度、II导联T峰-末间期、12导联T峰-末离散度以及AH和HV间期是BS患者发生ATs的独立预测因素(P < 0.05)。截断点分析表明,HV间期≥56 ms具有最高的预测能力(P < 0.01)。
我们的研究结果表明,简单的12导联ECG和电生理参数可轻松用于识别具有BS心电图表型的高危患者发生ATs的情况。