Cox Veronica, Patel Mitul, Kim Jason, Liu Taylor, Sivaraman Gowri, Narayan Sanjiv M
University of California and Veterans Affairs Medical Center, San Diego, California, USA.
Pacing Clin Electrophysiol. 2007 Mar;30(3):352-8. doi: 10.1111/j.1540-8159.2007.00675.x.
T-wave alternans (TWA) is a promising electrocardiogram (ECG) predictor of sudden cardiac arrest, yet needs specialized recordings for conventional spectral analysis. Modified moving average (MMA) analysis is a new approach that can measure TWA from routine ECGs, thus widening its applicability. However, MMA-TWA has not been calibrated against spectral TWA nor outcome in high risk patients. We hypothesized that spectral and MMA-TWA would both predict arrhythmia-free survival on long-term prospective follow-up.
In 41 patients with left ventricular systolic dysfunction (ejection fraction 31 +/- 13%), we studied TWA simultaneously using spectral and MMA during pacing (< 110 beats/min). MMA amplified TWA over spectral analyses (13.0 +/- 8.28 microV vs 1.96 +/- 5.15 microV, P < 0.001). On 542 +/- 311 days' follow-up, from clinic visits, telephonic interviews, and device interrogations, there were 11 deaths or sustained ventricular arrhythmias ('events'). Positive spectral TWA (>or=1.9 microV) identified patients with from those without events (P = 0.02). Receiver-operating characteristics for MMA-TWA showed that the cutpoint >or= 10.75 microV was optimal for the combined endpoint. Kaplan-Meier analysis using this MMA-TWA cutpoint trended to predict events (P = 0.06), while MMA combined with spectral TWA identified events (P = 0.01).
MMA amplifies TWA compared to traditional spectral analyses, but both likely reflect similar pathophysiology. Validation in larger populations will enable MMA-TWA to be widely applied to stratify risk for sudden cardiac arrest.
T波交替(TWA)是一种很有前景的预测心脏骤停的心电图(ECG)指标,但传统频谱分析需要专门的记录。改良移动平均(MMA)分析是一种新方法,可从常规心电图测量TWA,从而扩大了其适用性。然而,MMA-TWA尚未与频谱TWA进行校准,也未在高危患者中与预后进行对比。我们假设频谱TWA和MMA-TWA在长期前瞻性随访中均能预测无心律失常生存情况。
在41例左心室收缩功能障碍患者(射血分数31±13%)中,我们在起搏时(<110次/分钟)同时使用频谱分析和MMA研究TWA。与频谱分析相比,MMA放大了TWA(13.0±8.28微伏对1.96±5.15微伏,P<0.001)。在542±311天的随访中,通过门诊就诊、电话访谈和设备查询,有11例死亡或持续性室性心律失常(“事件”)。阳性频谱TWA(≥1.9微伏)可区分发生事件和未发生事件的患者(P = 0.02)。MMA-TWA的受试者工作特征曲线显示,联合终点的最佳切点为≥10.75微伏。使用该MMA-TWA切点的Kaplan-Meier分析有预测事件的趋势(P = 0.06),而MMA与频谱TWA联合可识别事件(P = 0.01)。
与传统频谱分析相比,MMA放大了TWA,但两者可能反映相似的病理生理学。在更大规模人群中进行验证将使MMA-TWA能够广泛应用于心脏骤停风险分层。