Article (Scientific journals)
Multiscale model of the human cardiovascular system: Description of heart failure and comparison of contractility indices
Kosta, Sarah; Negroni, Jorge; Lascano, Elena et al.
2017In Mathematical Biosciences, 284, p. 71-79
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Keywords :
Mathematical models; Physiological models; Multiscale models; Cardiovascular system; Sarcomere contraction
Abstract :
[en] A multiscale model of the cardiovascular system is presented. Hemodynamics is described by a lumped parameter model, while heart contraction is described at the cellular scale. An electrophysiological model and a mechanical model were coupled and adjusted so that the pressure and volume of both ventricles are linked to the force and length of a half-sarcomere. Particular attention was paid to the extreme values of the sarcomere length, which must keep physiological values. This model is able to reproduce healthy behavior, preload variations experiments, and ventricular failure. It also allows to compare the relevance of standard cardiac contractility indices. This study shows that the theoretical gold standard for assessing cardiac contractility, namely the end-systolic elastance, is actually load-dependent and therefore not a reliable index of cardiac contractility.
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
Kosta, Sarah ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Negroni, Jorge;  Favaloro University > Department of Comparative, Cellular and Molecular Biology
Lascano, Elena;  Favaloro University > Department of Comparative, Cellular and Molecular Biology
Dauby, Pierre  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Language :
English
Title :
Multiscale model of the human cardiovascular system: Description of heart failure and comparison of contractility indices
Publication date :
February 2017
Journal title :
Mathematical Biosciences
ISSN :
0025-5564
Publisher :
Elsevier, Netherlands
Special issue title :
Novel Models, Analysis and Methods in Medical Systems
Volume :
284
Pages :
71-79
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 13 March 2017

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