Literature DB >> 25936622

An effective model of blood flow in capillary beds.

Sebastian Acosta1, Daniel J Penny2, Craig G Rusin3.   

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.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Compliance; Computational hemodynamics; Critical closing pressure; Hypertension; Lumped-parameter models; Microcirculation; Nonlinear Windkessel; Perfusion; Resistance

Mesh:

Year:  2015        PMID: 25936622     DOI: 10.1016/j.mvr.2015.04.009

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  1 in total

1.  A computational study of the Fontan circulation with fenestration or hepatic vein exclusion.

Authors:  Charles Puelz; Sebastián Acosta; Béatrice Rivière; Daniel J Penny; Ken M Brady; Craig G Rusin
Journal:  Comput Biol Med       Date:  2017-08-25       Impact factor: 4.589

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.