Zienkiewicz Centre for Computational Engineering, Faculty of Science and Engineering, Swansea University, Swansea, UK.
Department of Kinesiology, University of Texas at Arlington, Arlington, TX, USA.
Ann Biomed Eng. 2023 Mar;51(3):479-492. doi: 10.1007/s10439-022-03134-5. Epub 2023 Jan 28.
Reactive hyperemia is a well-established technique for the non-invasive evaluation of the peripheral microcirculatory function, measured as the magnitude of limb re-perfusion after a brief period of ischemia. Despite widespread adoption by researchers and clinicians alike, many uncertainties remain surrounding interpretation, compounded by patient-specific confounding factors (such as blood pressure or the metabolic rate of the ischemic limb). Mathematical modeling can accelerate our understanding of the physiology underlying the reactive hyperemia response and guide in the estimation of quantities which are difficult to measure experimentally. In this work, we aim to provide a comprehensive guide for mathematical modeling techniques that can be used for describing the key phenomena involved in the reactive hyperemia response, alongside their limitations and advantages. The reported methodologies can be used for investigating specific reactive hyperemia aspects alone, or can be combined into a computational framework to be used in (pre-)clinical settings.
反应性充血是一种成熟的外周微循环功能非侵入性评估技术，通过测量短暂缺血后肢体再灌注的程度来衡量。尽管研究人员和临床医生都广泛采用了这种方法，但在解释方面仍存在许多不确定性，这使得解释变得更加复杂，因为还存在一些患者特有的混杂因素（例如血压或缺血肢体的代谢率）。数学建模可以加速我们对反应性充血反应背后生理学的理解，并指导对难以通过实验测量的量的估计。在这项工作中，我们旨在为可用于描述反应性充血反应中涉及的关键现象的数学建模技术提供全面的指南，同时介绍其局限性和优点。所报告的方法可单独用于研究特定的反应性充血方面，也可组合到计算框架中，以便在（临床前）临床环境中使用。
