Department of Surgery, Graduate School of Biomedical Science, Hiroshima University, Hiroshima, Japan.
Artif Organs. 2012 Dec;36(12):1026-35. doi: 10.1111/j.1525-1594.2012.01512.x. Epub 2012 Sep 11.
The operation of cardiopulmonary bypass procedure requires an advanced skill in both physiological and mechanical knowledge. We developed a virtual patient simulator system using a numerical cardiovascular regulation model to manage perfusion crisis. This article evaluates the ability of the new simulator to prevent perfusion crisis. It combined short-term baroreflex regulation of venous capacity, vascular resistance, heart rate, time-varying elastance of the heart, and plasma-refilling with a simple lumped parameter model of the cardiovascular system. The combination of parameters related to baroreflex regulation was calculated using clinical hemodynamic data. We examined the effect of differences in autonomous-nerve control parameter settings on changes in blood volume and hemodynamic parameters and determined the influence of the model on operation of the control arterial line flow and blood volume during the initiation and weaning from cardiopulmonary bypass. Typical blood pressure (BP) changes (hypertension, stable, and hypotension) were reproducible using a combination of four control parameters that can be estimated from changes in patient physiology, BP, and blood volume. This simulation model is a useful educational tool to learn the recognition and management skills of extracorporeal circulation. Identification method for control parameter can be applied for diagnosis of heart failure.
体外循环操作需要在生理和机械知识方面具备高级技能。我们开发了一种使用数值心血管调节模型的虚拟患者模拟器系统,以管理灌注危机。本文评估了新模拟器预防灌注危机的能力。它将短期压力反射调节静脉容量、血管阻力、心率、心脏时变顺应性和血浆再填充与心血管系统的简单集中参数模型相结合。与压力反射调节相关的参数组合使用临床血流动力学数据进行计算。我们检查了自主神经控制参数设置差异对血容量和血流动力学参数变化的影响,并确定了该模型对体外循环启动和停止期间控制动脉线流量和血容量的影响。使用可以从患者生理学、血压和血容量变化中估计的四个控制参数的组合,可以重现典型的血压(BP)变化(高血压、稳定和低血压)。该仿真模型是一种有用的教育工具,可用于学习体外循环的识别和管理技能。控制参数的识别方法可用于心力衰竭的诊断。