Literature DB >> 31005012

Multiscale modeling of the cardiovascular system for infants, children, and adolescents: Age-related alterations in cardiovascular parameters and hemodynamics.

Xiancheng Zhang1, Hideaki Haneishi2, Hao Liu3.   

Abstract

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age-related cardiovascular parameters and hemodynamics; Allometric scaling law; Global sensitivity analysis; Multiscale cardiovascular model

Mesh:

Year:  2019        PMID: 31005012     DOI: 10.1016/j.compbiomed.2019.03.021

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Ventricular wall stress and wall shear stress homeostasis predicts cardiac remodeling during pregnancy: A modeling study.

Authors:  Giulia Comunale; Francesca M Susin; Jonathan P Mynard
Journal:  Int J Numer Method Biomed Eng       Date:  2021-10-18       Impact factor: 2.648

2.  Multimodal cardiovascular model for hemodynamic analysis: Simulation study on mitral valve disorders.

Authors:  Dibyendu Roy; Oishee Mazumder; Aniruddha Sinha; Sundeep Khandelwal
Journal:  PLoS One       Date:  2021-03-04       Impact factor: 3.240

  2 in total

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