Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands. Philips Research, Eindhoven, Netherlands.
Physiol Meas. 2017 Nov 30;38(12):2101-2121. doi: 10.1088/1361-6579/aa95a4.
Arterial pulse pressure variation (PPV) is widely used for predicting fluid responsiveness and supporting fluid management in the operating room and intensive care unit. Available PPV algorithms have been typically validated for fluid responsiveness during episodes of hemodynamic stability. Yet, little is known about the performance of PPV algorithms during surgery, where fast changes of the blood pressure may affect the robustness of the presented PPV value. This work provides a comprehensive understanding of how various existing algorithmic designs affect the robustness of the presented PPV value during surgery, and proposes additional processing for the pulse pressure signal before calculating PPV.
We recorded arterial blood pressure waveforms from 23 patients undergoing major abdominal surgery. To evaluate the performance, we designed three clinically relevant metrics. Main results and Significance: The results show that all algorithms performed well during episodes of hemodynamic stability. Moreover, it is demonstrated that the proposed processing helps improve the robustness of PPV during the entire course of surgery.
动脉脉搏压变异(PPV)广泛用于预测手术室和重症监护病房中的液体反应性并支持液体管理。现有的 PPV 算法通常针对血流动力学稳定期间的液体反应性进行了验证。然而,对于手术期间 PPV 算法的性能知之甚少,在手术期间,血压的快速变化可能会影响所呈现的 PPV 值的稳健性。这项工作全面了解了各种现有算法设计如何影响手术期间所呈现的 PPV 值的稳健性,并提出了在计算 PPV 之前对脉搏压信号进行额外处理。
我们记录了 23 名接受大腹部手术的患者的动脉血压波形。为了评估性能,我们设计了三个临床相关的指标。主要结果和意义:结果表明,所有算法在血流动力学稳定期间均表现良好。此外,还证明了所提出的处理有助于提高整个手术过程中 PPV 的稳健性。