An algorithm for real-time, continuous evaluation of left ventricular mechanics by single-beat estimation of arterial and ventricular elastance.

H Shih, Z Hillel, C Declerck, C Anagnostopoulos, M Kuroda, D Thys
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引用次数: 12

Abstract

We describe a computer algorithm that allows continuous, real-time evaluation of ventricular elastance (Ees), arterial elastance (Ea), and their coupling ratio in a clinical setting. In the conventional pressure-volume analysis of left ventricular (LV) contractility, invasive methods of volume determination and a significant, rapid preload reduction are required to generate Ees. With the help of automated border detection by transesophageal echocardiography, and a technique of estimating peak LV isovolumic pressure, Ea and Ees were determined from a single cardiac beat without the need for preload reduction. A comparison of results obtained by a conventional approach and the new algorithm technique, showed good correlation for Ea (r = 0.86, p < 0.001) and Ees (r = 0.74, p = 0.001). Bias analysis showed a bias (d) of 1.47 mmHg/cm2 for Ea with a standard deviation (SD) of 7.03 mmHg/cm2, and upper (d+2SD) and lower(d-2SD) limits of agreement of 15.24 mmHg/cm2 and -12.31 mmHg/cm2, respectively. Bias analysis showed a bias of -1.42 mmHg/cm2 for Ees with a SD of 4.88 mmHg/cm2, and limits of agreement of 8.15 mmHg/cm2 and -10.98 mmHg/cm2. The algorithm's stability to artifacts was also analyzed by comparing magnitudes of residuals of Ea and Ees from source signals with and without noise. With Ea differing by an average of 1.036 mmHg/cm2 and Ees differing by an average of 0.836 mmHg/cm2, the algorithm was found to be stable to artifacts in the source signals.

一种通过单拍动脉弹性和心室弹性的实时、连续评估左心室力学的算法。
我们描述了一种计算机算法,可以在临床环境中连续、实时地评估心室弹性(Ees)、动脉弹性(Ea)及其耦合比。在传统的左心室收缩性压力-容积分析中,需要有创性的容积测定方法和显著、快速的预负荷降低来产生Ees。在经食管超声心动图自动边界检测和左室等容压峰值估计技术的帮助下,Ea和Ees无需预负荷降低即可从单次心跳确定。将传统方法与新算法的结果进行比较,发现Ea (r = 0.86, p < 0.001)与Ees (r = 0.74, p = 0.001)具有良好的相关性。偏倚分析显示,Ea的偏倚(d)为1.47 mmHg/cm2,标准差(SD)为7.03 mmHg/cm2,一致性上限(d+2SD)和下限(d-2SD)分别为15.24 mmHg/cm2和-12.31 mmHg/cm2。偏倚分析显示Ees的偏倚为-1.42 mmHg/cm2, SD为4.88 mmHg/cm2,一致性限为8.15 mmHg/cm2和-10.98 mmHg/cm2。通过比较有噪声和无噪声源信号的Ea和ee的残差大小,分析了算法对伪影的稳定性。Ea和Ees的平均差值分别为1.036 mmHg/cm2和0.836 mmHg/cm2,该算法对源信号中的伪影是稳定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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