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健康和患病右心室及肺循环的计算机模拟建模

Computer simulated modeling of healthy and diseased right ventricular and pulmonary circulation.

作者信息

Chou Jody, Rinehart Joseph B

机构信息

Department of Anesthesiology and Perioperative Care, University of California Irvine, 101 The City Drive South, Orange, CA, 92868, USA.

出版信息

J Clin Monit Comput. 2018 Dec;32(6):1015-1024. doi: 10.1007/s10877-018-0099-2. Epub 2018 Jan 12.

Abstract

We have previously developed a simulated cardiovascular physiology model for in-silico testing and validation of novel closed-loop controllers. To date, a detailed model of the right heart and pulmonary circulation was not needed, as previous controllers were not intended for use in patients with cardiac or pulmonary pathology. With new development of controllers for vasopressors, and looking forward, for combined vasopressor-fluid controllers, modeling of right-sided and pulmonary pathology is now relevant to further in-silico validation, so we aimed to expand our existing simulation platform to include these elements. Our hypothesis was that the completed platform could be tuned and stabilized such that the distributions of a randomized sample of simulated patients' baseline characteristics would be similar to reported population values. Our secondary outcomes were to further test the system in representing acute right heart failure and pulmonary artery hypertension. After development and tuning of the right-sided circulation, the model was validated against clinical data from multiple previously published articles. The model was considered 'tuned' when 100% of generated randomized patients converged to stability (steady, physiologically-plausible compartmental volumes, flows, and pressures) and 'valid' when the means for the model data in each health condition were contained within the standard deviations for the published data for the condition. A fully described right heart and pulmonary circulation model including non-linear pressure/volume relationships and pressure dependent flows was created over a 6-month span. The model was successfully tuned such that 100% of simulated patients converged into a steady state within 30 s. Simulation results in the healthy state for central venous volume (3350 ± 132 ml) pulmonary blood volume (405 ± 39 ml), pulmonary artery pressures (systolic 20.8 ± 4.1 mmHg and diastolic 9.4 ± 1.8 mmHg), left atrial pressure (4.6 ± 0.8 mmHg), PVR (1.0 ± 0.2 wood units), and CI (3.8 ± 0.5 l/min/m) all met criteria for acceptance of the model, though the standard deviations of LAP and CI were somewhat narrower than published comparators. The simulation results for right ventricular infarction also fell within the published ranges: pulmonary blood volume (727 ± 102 ml), pulmonary arterial pressures (30 ± 4 mmHg systolic, 12 ± 2 mmHg diastolic), left atrial pressure (13 ± 2 mmHg), PVR (1.6 ± 0.3 wood units), and CI (2.0 ± 0.4 l/min/m) all fell within one standard deviation of the reported population values and vice-versa. In the pulmonary hypertension model, pulmonary blood volume of 615 ± 90 ml, pulmonary arterial pressures of 80 ± 14 mmHg systolic, 36 ± 7 mmHg diastolic, and the left atrial pressure of 11 ± 2 mmHg all met criteria for acceptance. For CI, the simulated value of 2.8 ± 0.4 l/min/m once again had a narrower spread than most of the published data, but fell inside of the SD of all published data, and the PVR value of 7.5 ± 1.6 wood units fell in the middle of the four published studies. The right-ventricular and pulmonary circulation simulation appears to be a reasonable approximation of the right-sided circulation for healthy physiology as well as the pathologic conditions tested.

摘要

我们之前开发了一种模拟心血管生理模型,用于新型闭环控制器的计算机模拟测试和验证。迄今为止,由于之前的控制器并非用于患有心脏或肺部疾病的患者,因此不需要详细的右心和肺循环模型。随着血管升压药控制器的新发展,以及展望未来的联合血管升压药 - 液体控制器,右侧和肺部疾病的建模现在对于进一步的计算机模拟验证至关重要,所以我们旨在扩展现有的模拟平台以纳入这些元素。我们的假设是,完成的平台可以进行调整和稳定,使得模拟患者基线特征的随机样本分布与报告的人群值相似。我们的次要结果是进一步测试该系统在模拟急性右心衰竭和肺动脉高压方面的表现。在开发和调整右侧循环后,该模型根据多篇先前发表文章的临床数据进行了验证。当100%生成的随机患者达到稳定状态(稳定、生理上合理的腔室容积、流量和压力)时,该模型被认为是“调整好的”;当每种健康状况下模型数据的均值包含在该状况下已发表数据的标准差范围内时,该模型被认为是“有效的”。在6个月的时间里创建了一个完整描述的右心和肺循环模型,包括非线性压力/容积关系和压力依赖性流量。该模型成功调整,使得100%的模拟患者在30秒内达到稳定状态。健康状态下的模拟结果,中心静脉容积(3350±132毫升)、肺血容量(405±39毫升)、肺动脉压力(收缩压20.8±4.1毫米汞柱,舒张压9.4±1.8毫米汞柱)、左心房压力(4.6±0.8毫米汞柱)、肺血管阻力(1.0±0.2伍德单位)和心脏指数(3.8±0.5升/分钟/平方米)均符合模型接受标准,尽管左心房压力和心脏指数的标准差比已发表的对照数据略窄。右心室梗死的模拟结果也落在已发表的范围内:肺血容量(727±102毫升)、肺动脉压力(收缩压30±4毫米汞柱,舒张压12±2毫米汞柱)、左心房压力(13±2毫米汞柱)、肺血管阻力(1.6±0.3伍德单位)和心脏指数(2.0±0.4升/分钟/平方米)均落在报告人群值的一个标准差范围内,反之亦然。在肺动脉高压模型中,肺血容量615±90毫升、肺动脉压力收缩压80±14毫米汞柱、舒张压36±7毫米汞柱以及左心房压力11±2毫米汞柱均符合接受标准。对于心脏指数,模拟值2.8±0.4升/分钟/平方米的分布范围再次比大多数已发表数据窄,但落在所有已发表数据的标准差范围内,肺血管阻力值7.5±1.6伍德单位落在四项已发表研究的中间范围。右心室和肺循环模拟似乎是对健康生理以及所测试病理状况下右侧循环的合理近似。

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