Multiscale modeling of the cardiovascular system for infants, children, and adolescents: Age-related alterations in cardiovascular parameters and hemodynamics.
Age-related cardiovascular parameters and hemodynamics
Allometric scaling law
Global sensitivity analysis
Multiscale cardiovascular model
Journal
Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
15
01
2019
revised:
24
02
2019
accepted:
21
03
2019
pubmed:
21
4
2019
medline:
1
7
2020
entrez:
21
4
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31005012
pii: S0010-4825(19)30100-3
doi: 10.1016/j.compbiomed.2019.03.021
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
200-212Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.