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一种有效的毛细血管床血流模型。

An effective model of blood flow in capillary beds.

作者信息

Acosta Sebastian, Penny Daniel J, Rusin Craig G

机构信息

Department of Pediatrics - Cardiology, Baylor College of Medicine, Houston TX, USA; Department of Pediatric Medicine - Cardiology, Texas Children's Hospital, Houston TX, USA.

出版信息

Microvasc Res. 2015 Jul;100:40-7. doi: 10.1016/j.mvr.2015.04.009. Epub 2015 Apr 30.

Abstract

In this article we derive applicable expressions for the macroscopic compliance and resistance of microvascular networks. This work yields a lumped-parameter model to describe the hemodynamics of capillary beds. Our derivation takes into account the multiscale nature of capillary networks, the influence of blood volume and pressure on the effective resistance and compliance, as well as, the nonlinear interdependence between these two properties. As a result, we obtain a simple and useful model to study hypotensive and hypertensive phenomena. We include two implementations of our theory: (i) pulmonary hypertension where the flow resistance is predicted as a function of pulmonary vascular tone. We derive from first-principles the inverse proportional relation between resistance and compliance of the pulmonary tree, which explains why the RC factor remains nearly constant across a population with increasing severity of pulmonary hypertension. (ii) The critical closing pressure in pulmonary hypotension where the flow rate dramatically decreases due to the partial collapse of the capillary bed. In both cases, the results from our proposed model compare accurately with experimental data.

摘要

在本文中,我们推导了微血管网络宏观顺应性和阻力的适用表达式。这项工作产生了一个集总参数模型来描述毛细血管床的血流动力学。我们的推导考虑了毛细血管网络的多尺度性质、血容量和压力对有效阻力和顺应性的影响,以及这两个属性之间的非线性相互依存关系。结果,我们获得了一个简单且有用的模型来研究低血压和高血压现象。我们给出了该理论的两种应用:(i)肺动脉高压,其中血流阻力被预测为肺血管张力的函数。我们从第一原理推导出肺树阻力与顺应性之间的反比例关系,这解释了为什么在肺动脉高压严重程度增加的人群中,RC因子几乎保持恒定。(ii)肺低血压中的临界关闭压力,其中由于毛细血管床的部分塌陷,流速急剧下降。在这两种情况下,我们提出的模型结果与实验数据准确匹配。

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