Mäkijärvi M, Fetsch T, Reinhardt L, Martinez-Rubio A, Shenasa M, Borggrefe M, Breithardt G
Hospital of the Westfälische Wilhelms-Universität, Münster, Department of Cardiology and Angiology, Germany.
Eur Heart J. 1995 May;16(5):651-9. doi: 10.1093/oxfordjournals.eurheartj.a060969.
Ventricular late potentials detected at the end of the QRS complex by the signal-averaged ECG have been shown to predict arrhythmic events after acute myocardial infarction. Spectral turbulence analysis is a novel technique for detecting abnormalities of cardiac electric activation inside the QRS complex. The purpose of this study was to combine these two analysis methods in order to increase the predictive power of the signal-averaged ECG in post-infarction patients. The study comprised a prospective series of 778 males under 66 years of age who survived the acute phase of myocardial infarction. Signal-averaged ECG recordings were performed before hospital discharge 2 to 3 weeks after infarction. The original Simson method was used for recording and analysing the time-domain signal-averaged ECG. Spectral turbulence analysis was performed using the same averaged vector magnitude QRS complexes (Del Mar Avionics). During the follow-up period of 6 months, 33 patients (4.2%) had an arrhythmic event (sustained monomorphic ventricular tachycardia in 13 cases, ventricular fibrillation in eight cases and sudden cardiac death in 12 cases). The predictive power of late potentials in the time domain, spectral turbulence analysis and their combinations were tested together with clinical variables using the Cox regression method.(ABSTRACT TRUNCATED AT 250 WORDS)
通过信号平均心电图在QRS波群末端检测到的心室晚电位已被证明可预测急性心肌梗死后的心律失常事件。频谱紊乱分析是一种检测QRS波群内心脏电活动异常的新技术。本研究的目的是将这两种分析方法结合起来,以提高信号平均心电图对心肌梗死后患者的预测能力。该研究纳入了778名年龄在66岁以下、度过心肌梗死急性期的男性患者,进行前瞻性研究。在梗死2至3周后出院前进行信号平均心电图记录。采用原始的辛普森方法记录和分析时域信号平均心电图。使用相同的平均向量幅度QRS波群(德尔马航空电子设备)进行频谱紊乱分析。在6个月的随访期内,33名患者(4.2%)发生了心律失常事件(13例持续性单形性室性心动过速、8例心室颤动和12例心源性猝死)。使用Cox回归方法,将时域晚电位、频谱紊乱分析及其组合的预测能力与临床变量一起进行了测试。(摘要截断于250字)