Hemorrhagic shock is a form of hypovolemic shock determined by rapid and large loss of intravascular blood volume and represents the first cause of death in the world, whether on the battlefield or in civilian traumatology. For this, the ability to prevent hemorrhagic shock remains one of the greatest challenges in the medical and engineering fields. The use of mathematical models of the cardiocirculatory system has improved the capacity, on one hand, to predict the risk of hemorrhagic shock and, on the other, to determine efficient treatment strategies. In this paper, a comparison between two mathematical models that simulate several hemorrhagic scenarios is presented. The models considered are the Guyton and the Zenker model. In the vast panorama of existing cardiovascular mathematical models, we decided to compare these two models because they seem to be at the extremes as regards the complexity and the detail of information that they analyze. The Guyton model is a complex and highly structured model that represents a milestone in the study of the cardiovascular system; the Zenker model is a more recent one, developed in 2007, that is relatively simple and easy to implement. The comparison between the two models offers new prospects for the improvement of mathematical models of the cardiovascular system that may prove more effective in the study of hemorrhagic shock.

中文翻译：

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失血性休克期间两种不同心血管模型的比较

失血性休克是低血容量性休克的一种形式，由血管内血量的快速和大量损失决定，代表着世界上无论是在战场上还是在平民创伤学上的第一大死亡原因。为此，防止出血性休克的能力仍然是医学和工程领域的最大挑战之一。心血管系统数学模型的使用，一方面提高了预测出血性休克风险的能力，另一方面提高了确定有效治疗策略的能力。在本文中，将对模拟几种出血情况的两个数学模型进行比较。所考虑的模型是盖顿模型和曾克模型。在现有心血管数学模型的广阔全景中，我们决定比较这两种模型，因为它们在分析的信息的复杂性和细节方面似乎处于极端状态。盖顿模型是一个复杂且高度结构化的模型，代表了心血管系统研究的一个里程碑。Zenker模型是2007年开发的更新模型，相对简单且易于实现。两种模型之间的比较为改进心血管系统数学模型提供了新的前景，这些模型可能在出血性休克的研究中被证明更为有效。是2007年开发的，相对来说比较容易实现。两种模型之间的比较为改进心血管系统数学模型提供了新的前景，这些模型可能在出血性休克的研究中被证明更为有效。是2007年开发的，相对来说比较容易实现。两种模型之间的比较为改进心血管系统数学模型提供了新的前景，这些模型可能在出血性休克的研究中被证明更为有效。