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基于仿真模型的去甲肾上腺素与苯肾上腺素闭环血管加压素控制的比较分析。

In-silico analysis of closed-loop vasopressor control of phenylephrine versus norepinephrine.

机构信息

Department of Anesthesiology and Perioperative Care, University of California Irvine, 101 The City Drive South, Orange, CA, 92660, USA.

Department of Anesthesiology, Intensive Care and Perioperative Medicine, Bicêtre Hospital, 78, Rue du Général Leclerc, Le Kremlin-Bicêtre, 94270, France.

出版信息

J Clin Monit Comput. 2022 Oct;36(5):1305-1313. doi: 10.1007/s10877-021-00761-6. Epub 2021 Oct 2.

Abstract

We have previously demonstrated in in-silico, pre-clinical animal models, and finally human clinical studies the ability of a novel closed-loop vasopressor titration system to manage norepinephrine infusion rates to keep mean arterial blood pressure in a very tight range, reduce hypotension time and severity, and reduce overtreatment. We hypothesized that the same controller could, with modification for pharmacologic differences, suitably titrate a lower-potency longer duration of action agent like phenylephrine. Using the same physiologic simulation model as was used previously for in-silico testing of our controller for norepinephrine, we first updated the model to include a new vasopressor agent modeled after phenylephrine. A series of simulation tests patterned after our previous norepinephrine study was then conducted, this time using phenylephrine for management, in order to both test the system with the new agent and allow for comparisons between the two. Hundreds of simulation trials were conducted across a range of patient and environmental variances. The controller performance was characterized based on time in target, time above and below target, coefficient of variation, and using Varvel's criteria. The controller kept the simulated patients' MAP in target for 94% of management time in the simple scenarios and more than 85% of time in the most challenging scenarios. Varvel criteria were all under 1% error for expected pharmacologic responses and were consistent with those established for norepinephrine in our previous studies. The controller was able to acceptably titrate phenylephrine in this simulated patient model consistent with performance previously seen for norepinephrine after adjusting for the anticipated differences between the two agents.

摘要

我们之前已经在计算机模拟、临床前动物模型中进行了研究,并最终在人体临床试验中证明了一种新型的闭环血管加压素滴定系统能够管理去甲肾上腺素输注率,使平均动脉血压保持在非常狭窄的范围内,减少低血压时间和严重程度,并减少过度治疗。我们假设相同的控制器可以进行修改,以适应药理学差异,适当调整像苯肾上腺素这样的低效能、作用时间更长的药物。我们使用与之前用于计算机模拟测试去甲肾上腺素控制器相同的生理模拟模型,首先更新模型以包括模拟苯肾上腺素的新型血管加压素药物。然后进行了一系列类似于我们之前使用去甲肾上腺素进行的研究的模拟测试,这次使用苯肾上腺素进行管理,以便用新药物测试系统并允许两者进行比较。在一系列患者和环境变化范围内进行了数百次模拟试验。根据目标时间、目标上下时间、变异系数以及使用 Varvel 标准来描述控制器的性能。在简单情况下,控制器将模拟患者的 MAP 保持在目标范围内 94%的管理时间,在最具挑战性的情况下保持超过 85%的时间。对于预期的药理反应,Varvel 标准的误差均低于 1%,与我们之前的研究中为去甲肾上腺素确定的标准一致。控制器能够在这个模拟患者模型中接受性地滴定苯肾上腺素,与之前在调整两种药物之间预期差异后为去甲肾上腺素看到的性能一致。

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