Olufsen Mette S, Ottesen Johnny T, Tran Hien T, Ellwein Laura M, Lipsitz Lewis A, Novak Vera
Department of Mathematics, North Carolina State University, Raleigh, 27695, USA.
J Appl Physiol (1985). 2005 Oct;99(4):1523-37. doi: 10.1152/japplphysiol.00177.2005. Epub 2005 Apr 28.
Short-term cardiovascular responses to postural change from sitting to standing involve complex interactions between the autonomic nervous system, which regulates blood pressure, and cerebral autoregulation, which maintains cerebral perfusion. We present a mathematical model that can predict dynamic changes in beat-to-beat arterial blood pressure and middle cerebral artery blood flow velocity during postural change from sitting to standing. Our cardiovascular model utilizes 11 compartments to describe blood pressure, blood flow, compliance, and resistance in the heart and systemic circulation. To include dynamics due to the pulsatile nature of blood pressure and blood flow, resistances in the large systemic arteries are modeled using nonlinear functions of pressure. A physiologically based submodel is used to describe effects of gravity on venous blood pooling during postural change. Two types of control mechanisms are included: 1) autonomic regulation mediated by sympathetic and parasympathetic responses, which affect heart rate, cardiac contractility, resistance, and compliance, and 2) autoregulation mediated by responses to local changes in myogenic tone, metabolic demand, and CO(2) concentration, which affect cerebrovascular resistance. Finally, we formulate an inverse least-squares problem to estimate parameters and demonstrate that our mathematical model is in agreement with physiological data from a young subject during postural change from sitting to standing.
从坐姿到站姿的姿势变化所引发的短期心血管反应,涉及调节血压的自主神经系统与维持脑灌注的脑自动调节之间的复杂相互作用。我们提出了一个数学模型,该模型能够预测从坐姿到站姿的姿势变化过程中逐搏动脉血压和大脑中动脉血流速度的动态变化。我们的心血管模型利用11个腔室来描述心脏和体循环中的血压、血流、顺应性和阻力。为了纳入由于血压和血流的脉动特性所导致的动态变化,大的体循环动脉中的阻力采用压力的非线性函数进行建模。一个基于生理学的子模型用于描述姿势变化过程中重力对静脉血液淤积的影响。该模型包含两种控制机制:1)由交感神经和副交感神经反应介导的自主调节,其影响心率、心脏收缩力、阻力和顺应性;2)由对肌源性张力、代谢需求和二氧化碳浓度的局部变化的反应所介导的自动调节,其影响脑血管阻力。最后,我们制定了一个逆最小二乘问题来估计参数,并证明我们的数学模型与一名年轻受试者在从坐姿到站姿的姿势变化过程中的生理数据一致。