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用于研究失血性休克的简单心血管模型。

A Simple Cardiovascular Model for the Study of Hemorrhagic Shock.

机构信息

National Research Council of Italy, Institute for Biomedical Research and Innovation, Via Ugo La Malfa, 153, 90146 Palermo, Italy.

National Research Council of Italy, Institute for Systems Analysis and Computer Science "A. Ruberti", BioMatLab (Biomathematics Laboratory), UCSC Largo A. Gemelli 8, 00168 Rome, Italy.

出版信息

Comput Math Methods Med. 2020 Dec 24;2020:7936895. doi: 10.1155/2020/7936895. eCollection 2020.

Abstract

Hemorrhagic shock is the number one cause of death on the battlefield and in civilian trauma as well. Mathematical modeling has been applied in this context for decades; however, the formulation of a satisfactory model that is both practical and effective has yet to be achieved. This paper introduces an upgraded version of the 2007 Zenker model for hemorrhagic shock termed the ZenCur model that allows for a better description of the time course of relevant observations. Our study provides a simple but realistic mathematical description of cardiovascular dynamics that may be useful in the assessment and prognosis of hemorrhagic shock. This model is capable of replicating the changes in mean arterial pressure, heart rate, and cardiac output after the onset of bleeding (as observed in four experimental laboratory animals) and achieves a reasonable compromise between an overly detailed depiction of relevant mechanisms, on the one hand, and model simplicity, on the other. The former would require considerable simulations and entail burdensome interpretations. From a clinical standpoint, the goals of the new model are to predict survival and optimize the timing of therapy, in both civilian and military scenarios.

摘要

失血性休克是战场和民用创伤导致死亡的首要原因。几十年来,数学模型已在这方面得到应用;然而,尚未达成既实用又有效的令人满意的模型制定。本文介绍了一种经过升级的 2007 年 Zenker 失血性休克模型,称为 ZenCur 模型,它可以更好地描述相关观察结果的时间过程。我们的研究提供了一种简单但现实的心血管动力学数学描述,可能有助于评估和预测失血性休克。该模型能够复制出血开始后平均动脉压、心率和心输出量的变化(在四个实验动物中观察到),并在对相关机制的过度详细描述和模型简单性之间取得合理的折衷。前者需要进行大量的模拟,并且解释起来很繁琐。从临床角度来看,新模型的目标是预测生存率并优化治疗时机,无论是在民用还是军事场景中。

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