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Pump Speed Waveform Analysis to Detect Aortic Valve Opening in Patients on Ventricular Assist Device Support

机译:在心室辅助装置支持下检测患者主动脉瓣打开的泵速波形分析

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As the aortic valve (AV) opens, the pump pressure head remains constant, which is reflected as a notch/plateau in pump pressure and flow signals. However, instantaneous flow estimation may be influenced by friction and is particularly difficult in axial pumps. Therefore, a new method to determine the duration of AV opening based on the area under the curve (AUC) of the power spectral density analysis of pump speed signal was developed. Data from patients implanted with HeartWare HVAD left ventricular assist device were studied at different pump speeds, with simultaneous transthoracic echocardiography in two cohorts. In the first group, pump data of 15 patients were used to investigate the ability to discriminate between an open and closed AV. In the second cohort of a further 13 patients, the duration of AV opening was measured from digitized M-mode images, and the relationship between the AV opening time and the new method assessed. In 14 of the initial 15 patients, AV status could be discriminated using only one threshold for all patients. In the second cohort, gradual speed reduction resulted in aortic valve opening in 12 of the 13 patients. The correlation between AV opening duration and AUC was 0.96 +/- 0.03. Regression analysis indicated a linear relationship in each of the patients with a small error between the fit and the measured opening time (root mean square error=11.0 +/- 7.6ms). However, the slopes (69.0 +/- 52.8) and intercepts (-31.4 +/- 78.0) varied widely between patients. The sensitivity and specificity for the new method using AUC threshold of 0.95 for aortic valve closure was 95% and 91%, respectively. The newly developed method to detect AV opening not only provides information on the AV status during LVAD support (open/closed) but also gives insight into the duration of AV opening. Because the slope of the relationship varies from patient to patient, initial training and adaptation of the method to each patient seems to be required.
机译:当主动脉瓣(AV)打开时,泵压头保持恒定,这在泵压力和流量信号中反映为凹口/平台。但是,瞬时流量估算可能会受到摩擦的影响,在轴向泵中尤其困难。因此,开发了一种基于泵速信号功率谱密度分析的曲线下面积(AUC)确定AV打开持续时间的新方法。在两个不同的队列中,以不同的泵速研究了植入了HeartWare HVAD左心室辅助装置的患者的数据,并同时进行了经胸超声心动图检查。在第一组中,使用15位患者的泵数据来研究区分开放性和封闭性AV的能力。在另外13名患者的第二个队列中,从数字化的M型图像中测量了AV开放的持续时间,并评估了AV开放时间与新方法之间的关系。在最初的15位患者中,有14位可以仅使用一个阈值来区分所有患者的AV状态。在第二个队列中,逐渐降低速度导致13例患者中的12例主动脉瓣打开。 AV开放持续时间与AUC之间的相关性为0.96 +/- 0.03。回归分析表明,每位患者的线性关系在拟合和测得的开放时间之间存在很小的误差(均方根误差= 11.0 +/- 7.6ms)。但是,患者之间的斜率(69.0 +/- 52.8)和截距(-31.4 +/- 78.0)差异很大。使用AUC阈值0.95进行主动脉瓣关闭的新方法的敏感性和特异性分别为95%和91%。新开发的检测AV打开的方法,不仅可以提供有关LVAD支持(打开/关闭)期间AV状态的信息,还可以洞察AV打开的持续时间。由于该关系的斜率因患者而异,因此似乎需要对每个患者进行初始训练并使方法适应。

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