Graduate School of Engineering, Chiba University, Inage, Chiba, Japan; Center for Frontier Medical Engineering, Chiba University, Inage, Chiba, Japan.
Center for Frontier Medical Engineering, Chiba University, Inage, Chiba, Japan.
Comput Biol Med. 2019 May;108:200-212. doi: 10.1016/j.compbiomed.2019.03.021. Epub 2019 Mar 23.
While zero- and one-dimensional multiscale modeling of the adult cardiovascular system (CVS) has been recognized as a useful tool in cardiovascular research and clinical applications, there are still not any generic cardiovascular models for a broad range of age groups. To study age-related alterations in cardiovascular parameters and hemodynamics, we here presented a versatile multiscale cardiovascular model considering the cardiovascular growth and development during aging. An adult cardiovascular model was first established by utilizing population-averaged physiological data. We then introduced an allometric scaling law-based approach to estimate age-related cardiovascular parameters for infants, children, and adolescents, by using the newly defined scaling exponents for different types of cardiovascular parameters. The model was validated to be capable of predicting the age-related alterations in hemodynamics through a comprehensive comparison with available in vivo measurements. Moreover, a variance-based global sensitivity analysis was performed for all cardiovascular parameters under normal and abnormal conditions to identify which are the most important model inputs in affecting model outputs. Our results indicate that the present generic cardiovascular model provides a robust and useful tool for evaluating normal cardiovascular functions over a broad age range for biomedical engineering applications.
虽然成年人心血管系统(CVS)的零维和一维多尺度建模已被认为是心血管研究和临床应用中的有用工具,但仍然没有针对广泛年龄段的通用心血管模型。为了研究心血管参数和血流动力学的年龄相关性变化,我们在此提出了一种多功能的多尺度心血管模型,该模型考虑了心血管在衰老过程中的生长和发育。首先,利用人群平均生理数据建立了成人心血管模型。然后,我们引入了一种基于比例缩放定律的方法,通过为不同类型的心血管参数定义新的缩放指数,来估计婴儿、儿童和青少年的与年龄相关的心血管参数。通过与现有的体内测量结果进行全面比较,验证了该模型能够预测血流动力学的年龄相关性变化。此外,还对正常和异常情况下的所有心血管参数进行了基于方差的全局敏感性分析,以确定哪些是影响模型输出的最重要的模型输入。我们的研究结果表明,目前的通用心血管模型为评估广泛年龄段的正常心血管功能提供了一个稳健而有用的工具,可应用于生物医学工程领域。