Seo Yoshihiro, Ishizu Tomoko, Machino-Ohtsuka Tomoko, Yamamoto Masayoshi, Machino Takeshi, Kuroki Kenji, Yamasaki Hiro, Sekiguchi Yukio, Nogami Akihiko, Aonuma Kazutaka
Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Japan
Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Japan.
J Am Heart Assoc. 2016 Oct 19;5(10):e003882. doi: 10.1161/JAHA.116.003882.
Speckle tracking echocardiography (STE) is reported as a useful method to predict cardiac resynchronization therapy (CRT) responders. This study aimed to identify the incremental value of a STE parameter to predict CRT responders.
We enrolled 171 patients from the Speckle Tracking imaging for the Assessment of cardiac Resynchronization Therapy (START) study. CRT responders were defined as patients with ≥15% reduction of left ventricular (LV) end-systolic volume at 6 months post-CRT. Based on multivariable logistic regression analysis, incremental values of STE were assessed by c-statistics, net reclassification improvement (NRI)/integrated discrimination improvement (IDI), and decision curve analysis. Six parameters (left bundle branch block or right ventricular pacing, use of beta-blocker, blood urea nitrogen ≤3.0 mg/dL, LV end-systolic diameter ≤50 mm, mitral regurgitation index ≤40%, and STE parameter standard deviation of time from QRS onset to first peak on the circumferential strain curves [T] ≥116 ms) were identified as the determinants. Compared to the multivariable logistic regression model without T (model 1), that with T (model 2) showed significant improvement to predict CRT responders: c-statistic (0.86 vs 0.77; P<0.001), NRI=0.19, P<0.001, and IDI=0.17, P<0.001. The decision curve of model 2 was higher than that of model 1 at threshold probabilities ≥0.2. Based on model 2, a START score was constructed. Compared to the Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy (MADIT-CRT) score, the decision curve of the START score was higher than that of the MADIT-CRT score at threshold probabilities ≥0.2.
Based on various statistical methods, this study revealed that STE had an incremental value to predict CRT responders.
斑点追踪超声心动图(STE)被报道为预测心脏再同步化治疗(CRT)反应者的一种有用方法。本研究旨在确定一个STE参数预测CRT反应者的增量价值。
我们纳入了来自心脏再同步化治疗评估斑点追踪成像(START)研究的171例患者。CRT反应者被定义为CRT术后6个月左心室(LV)收缩末期容积减少≥15%的患者。基于多变量逻辑回归分析,通过c统计量、净重新分类改善(NRI)/综合判别改善(IDI)和决策曲线分析评估STE的增量价值。确定了六个参数(左束支传导阻滞或右心室起搏、β受体阻滞剂的使用、血尿素氮≤3.0mg/dL、LV收缩末期直径≤50mm、二尖瓣反流指数≤40%以及圆周应变曲线上从QRS波起始到第一个峰值的时间的STE参数标准差[T]≥116ms)作为决定因素。与没有T的多变量逻辑回归模型(模型1)相比,有T的模型(模型2)在预测CRT反应者方面显示出显著改善:c统计量(0.86对0.77;P<0.001),NRI = 0.19,P<0.001,IDI = 0.17,P<0.001。在阈值概率≥0.2时,模型2的决策曲线高于模型1。基于模型2构建了START评分。与心脏再同步化治疗的多中心自动除颤器植入试验(MADIT-CRT)评分相比,在阈值概率≥0.2时,START评分的决策曲线高于MADIT-CRT评分。
基于各种统计方法,本研究表明STE在预测CRT反应者方面具有增量价值。