Shih H, Hillel Z, Declerck C, Anagnostopoulos C, Kuroda M, Thys D
St. Luke's-Roosevelt Hospital Center, Columbia University College of Physicians and Surgeons, New York, NY 10025, USA.
J Clin Monit. 1997 May;13(3):157-70. doi: 10.1023/a:1007387315948.
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.
我们描述了一种计算机算法,该算法能够在临床环境中对心室弹性(Ees)、动脉弹性(Ea)及其耦合比进行连续、实时评估。在左心室(LV)收缩性的传统压力 - 容积分析中,需要采用侵入性的容积测定方法以及显著、快速的前负荷降低来生成Ees。借助经食管超声心动图的自动边界检测以及一种估算左心室等容压力峰值的技术,无需进行前负荷降低即可从单个心搏中确定Ea和Ees。通过传统方法和新算法技术获得的结果比较显示,Ea的相关性良好(r = 0.86,p < 0.001),Ees的相关性也良好(r = 0.74,p = 0.001)。偏差分析显示,Ea的偏差(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。偏差分析显示,Ees的偏差为 - 1.42 mmHg/cm²,SD为4.88 mmHg/cm²,一致性界限为8.15 mmHg/cm²和 - 10.98 mmHg/cm²。还通过比较有噪声和无噪声源信号中Ea和Ees的残差大小,分析了该算法对伪影的稳定性。发现Ea平均差异为1.036 mmHg/cm²,Ees平均差异为0.836 mmHg/cm²,该算法对源信号中的伪影具有稳定性。