Olufsen Mette S, Tran Hien T, Ottesen Johnny T, Lipsitz Lewis A, Novak Vera
Dept. of Mathematics, North Carolina State Univ., Campus Box 8205, Raleigh, NC 27695, USA.
Am J Physiol Regul Integr Comp Physiol. 2006 Nov;291(5):R1355-68. doi: 10.1152/ajpregu.00205.2006. Epub 2006 Jun 22.
During orthostatic stress, arterial and cardiopulmonary baroreflexes play a key role in maintaining arterial pressure by regulating heart rate. This study presents a mathematical model that can predict the dynamics of heart rate regulation in response to postural change from sitting to standing. The model uses blood pressure measured in the finger as an input to model heart rate dynamics in response to changes in baroreceptor nerve firing rate, sympathetic and parasympathetic responses, vestibulo-sympathetic reflex, and concentrations of norepinephrine and acetylcholine. We formulate an inverse least squares problem for parameter estimation and successfully demonstrate that our mathematical model can accurately predict heart rate dynamics observed in data obtained from healthy young, healthy elderly, and hypertensive elderly subjects. One of our key findings indicates that, to successfully validate our model against clinical data, it is necessary to include the vestibulo-sympathetic reflex. Furthermore, our model reveals that the transfer between the nerve firing and blood pressure is nonlinear and follows a hysteresis curve. In healthy young people, the hysteresis loop is wide, whereas, in healthy and hypertensive elderly people, the hysteresis loop shifts to higher blood pressure values, and its area is diminished. Finally, for hypertensive elderly people, the hysteresis loop is generally not closed, indicating that, during postural change from sitting to standing, baroreflex modulation does not return to steady state during the first minute of standing.
在直立应激期间,动脉和心肺压力反射通过调节心率在维持动脉血压方面发挥关键作用。本研究提出了一个数学模型,该模型可以预测从坐姿到站姿的姿势变化时心率调节的动态过程。该模型使用手指测量的血压作为输入,以模拟心率动态,以响应压力感受器神经放电率、交感和副交感反应、前庭交感反射以及去甲肾上腺素和乙酰胆碱浓度的变化。我们为参数估计制定了一个逆最小二乘问题,并成功证明我们的数学模型可以准确预测在健康年轻人、健康老年人和高血压老年人的数据中观察到的心率动态。我们的一项关键发现表明,为了根据临床数据成功验证我们的模型,有必要纳入前庭交感反射。此外,我们的模型表明,神经放电与血压之间的转换是非线性的,并且遵循滞后曲线。在健康年轻人中,滞后环较宽,而在健康和高血压老年人中,滞后环向更高的血压值移动,并且其面积减小。最后,对于高血压老年人来说,滞后环通常不闭合,这表明在从坐姿到站姿的姿势变化过程中,压力反射调制在站立的第一分钟内不会恢复到稳态。