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In Silico testing of the semi-closed loop infusion system with a new simulator

机译:在使用新模拟器的半闭环输注系统的silico测试中

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摘要

Goal directed fluid therapy (GDFT) implies theflow-related parameters guided infusion of fluids. It requiresadherence to complex clinical algorithms and fluid protocols,as well as simultaneous monitoring of several parameters andevaluation of their fluid responsiveness or actual response tofluid challenges. Automated clinical decision support systems(ACDSS) are used to ease the task. However, they are based onthe flow-related (hemodynamic) parameters – arterial bloodpressure, cardiac output, etc. Meanwhile, infusions guided byhemodynamic endpoints may lead to edema. A mini VolumeLoading Test (mVLT) may be helpful in detection of imminentedema from changes in hemodilution during stepwise infusionwhich is conventionally used for hemodynamic optimization.We developed an ACDSS which is based on evaluation of bothhemodynamic and hemodilution parameters. It operates on thebasis of our unique algorithm which implies interchangeableapplication of fluid loading, vasopressor injection and red celltransfusion. This ACDSS is used in our PC-based commandcentre of a prototype semi-closed loop (SCL) infusion system.We developed a simulator – ‘Virtual Patient’ – on the basis ofour previous clinical records aiming to test a new controller, aswell as train the research team before starting a clinical trial.In silico testing continued for 12 hours on five occasions.Primary endpoint was the compliance of a controller with ourclinical algorithm and the stability of operation in a spectrumof arterial hypotension and bleeding scenarios. The prototypeSCL infusion system was found ready for clinical validation.
机译:目标导向的液体疗法(GDFT)暗示与流量相关的参数指导液体的输注。它需要遵守复杂的临床算法和输液规程,并同时监视多个参数并评估其对流体挑战的流体响应性或实际响应性。自动化的临床决策支持系统(ACDSS)用于简化任务。但是,它们是基于与血流有关的(血液动力学)参数-动脉血压,心输出量等。同时,以血流动力学终点为指导的输注可能导致水肿。微型体积负荷测试(mVLT)可能有助于从逐步输注过程中血液稀释的变化中检测到即将出现的水肿,这通常用于血液动力学优化。它基于我们独特的算法进行操作,这意味着可互换地应用流体负荷,加压素注射和红细胞输注。该ACDSS用于我们基于PC的半闭环(SCL)原型输注系统的指挥中心。我们在以前的临床记录的基础上,开发了一个名为“虚拟患者”的模拟器,旨在测试新的控制器以及训练开始进行临床试验之前,研究团队进行了五次计算机模拟测试,持续了12小时。主要终点是控制器符合我们的临床算法以及在一系列动脉低血压和出血情况下的操作稳定性。发现原型SCL输液系统已准备好用于临床验证。

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