Kawasaki Masanori, Tanaka Ryuhei, Ono Koji, Minatoguchi Shingo, Watanabe Takatomo, Iwama Makoto, Hirose Takeshi, Arai Masazumi, Noda Toshiyuki, Watanabe Sachiro, Zile Michael R, Minatoguchi Shinya
Department of Cardiology, Gifu University Graduate School of Medicine, Gifu, Japan.
Department of Cardiology, Gifu Prefectural General Medical Center, Gifu, Japan.
J Cardiol. 2015 Sep;66(3):253-62. doi: 10.1016/j.jjcc.2014.11.008. Epub 2014 Dec 26.
We hypothesized that a development of a novel index based on the combination of left atrial volume (LAV) and left atrial (LA) function evaluated by the time-LA volume curve using speckle tracking echocardiography (STE) would be accurate and useful to estimate pulmonary capillary wedge pressure (PCWP). Our goal was to develop a novel index of PCWP based on a combination of LAV and LA function using STE.
A cross-validation study was performed with the patients divided into a training study to define the novel index (n=50) and a testing study to validate the index (n=196). PCWP was measured by right heart catheterization, and phasic LAV and emptying function (EF) were measured by STE.
Simple linear regression analysis in the training study revealed that the novel index that best estimated PCWP was the kinetics-tracking index [KT index=log10 (active LAEF/minimum LAV index)]. Multiple regression analysis revealed that the KT index was the most reliable predictor of PCWP. It had the strongest correlation with PCWP (r=-0.86, p<0.001) among all echocardiographic parameters. In the testing study, PCWP estimated by the KT index was also strongly correlated with measured PCWP (r=0.92, p<0.001). These correlations were also strong in the patients with reduced left ventricular ejection fraction (<50%), chronic heart failure, and chronic atrial fibrillation (r=0.92, r=0.91, r=0.79, p<0.001, respectively).
A novel index (KT index) using a combination of LAV and LA function was a powerful and useful predictor of PCWP and may be valuable in routine clinical practice.
我们假设基于斑点追踪超声心动图(STE)通过时间-左心房容积曲线评估的左心房容积(LAV)和左心房(LA)功能相结合开发的一种新指数,对于估计肺毛细血管楔压(PCWP)将是准确且有用的。我们的目标是基于LAV和使用STE的LA功能相结合来开发一种新的PCWP指数。
进行了一项交叉验证研究,将患者分为用于定义新指数的训练研究组(n = 50)和用于验证该指数的测试研究组(n = 196)。通过右心导管测量PCWP,通过STE测量阶段性LAV和排空功能(EF)。
训练研究中的简单线性回归分析表明,最能估计PCWP的新指数是动力学追踪指数[KT指数 = log10(主动LAEF/最小LAV指数)]。多元回归分析表明,KT指数是PCWP最可靠的预测指标。在所有超声心动图参数中,它与PCWP的相关性最强(r = -0.86,p < 0.001)。在测试研究中,通过KT指数估计的PCWP也与测量的PCWP密切相关(r = 0.92,p < 0.001)。在左心室射血分数降低(<50%)、慢性心力衰竭和慢性心房颤动患者中,这些相关性也很强(分别为r = 0.92、r = 0.91、r = 0.79,p < 0.001)。
使用LAV和LA功能相结合的新指数(KT指数)是PCWP的有力且有用的预测指标,可能在常规临床实践中有价值。