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Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis

This paper proposes a model-based estimation of left ventricular (LV) pressure for the evaluation of constructive and wasted myocardial work of patients with aortic stenosis (AS). A model of the cardiovascular system is proposed, including descriptions of i) cardiac electrical activity, ii) elastanc...

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Autores principales: Owashi, Kimi P., Hubert, Arnaud, Galli, Elena, Donal, Erwan, Hernández, Alfredo I., Le Rolle, Virginie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053724/
https://www.ncbi.nlm.nih.gov/pubmed/32126071
http://dx.doi.org/10.1371/journal.pone.0229609
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author Owashi, Kimi P.
Hubert, Arnaud
Galli, Elena
Donal, Erwan
Hernández, Alfredo I.
Le Rolle, Virginie
author_facet Owashi, Kimi P.
Hubert, Arnaud
Galli, Elena
Donal, Erwan
Hernández, Alfredo I.
Le Rolle, Virginie
author_sort Owashi, Kimi P.
collection PubMed
description This paper proposes a model-based estimation of left ventricular (LV) pressure for the evaluation of constructive and wasted myocardial work of patients with aortic stenosis (AS). A model of the cardiovascular system is proposed, including descriptions of i) cardiac electrical activity, ii) elastance-based cardiac cavities, iii) systemic and pulmonary circulations and iv) heart valves. After a sensitivity analysis of model parameters, an identification strategy was implemented using a Monte-Carlo cross-validation approach. Parameter identification procedure consists in two steps for the estimation of LV pressures: step 1) from invasive, intraventricular measurements and step 2) from non-invasive data. The proposed approach was validated on data obtained from 12 patients with AS. The total relative errors between estimated and measured pressures were on average 11.9% and 12.27% and mean R(2) were equal to 0.96 and 0.91, respectively for steps 1 and 2 of parameter identification strategy. Using LV pressures obtained from non-invasive measurements (step 2) and patient-specific simulations, Global Constructive (GCW), Wasted (GWW) myocardial Work and Global Work Efficiency (GWE) parameters were calculated. Correlations between measures and model-based estimations were 0.88, 0.80, 0.91 respectively for GCW, GWW and GWE. The main contributions concern the proposal of the parameter identification procedure, applied on an integrated cardiovascular model, able to reproduce LV pressure specifically to each AS patient, by non-invasive procedures, as well as a new method for the non-invasive estimation of constructive, wasted myocardial work and work efficiency in AS.
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spelling pubmed-70537242020-03-12 Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis Owashi, Kimi P. Hubert, Arnaud Galli, Elena Donal, Erwan Hernández, Alfredo I. Le Rolle, Virginie PLoS One Research Article This paper proposes a model-based estimation of left ventricular (LV) pressure for the evaluation of constructive and wasted myocardial work of patients with aortic stenosis (AS). A model of the cardiovascular system is proposed, including descriptions of i) cardiac electrical activity, ii) elastance-based cardiac cavities, iii) systemic and pulmonary circulations and iv) heart valves. After a sensitivity analysis of model parameters, an identification strategy was implemented using a Monte-Carlo cross-validation approach. Parameter identification procedure consists in two steps for the estimation of LV pressures: step 1) from invasive, intraventricular measurements and step 2) from non-invasive data. The proposed approach was validated on data obtained from 12 patients with AS. The total relative errors between estimated and measured pressures were on average 11.9% and 12.27% and mean R(2) were equal to 0.96 and 0.91, respectively for steps 1 and 2 of parameter identification strategy. Using LV pressures obtained from non-invasive measurements (step 2) and patient-specific simulations, Global Constructive (GCW), Wasted (GWW) myocardial Work and Global Work Efficiency (GWE) parameters were calculated. Correlations between measures and model-based estimations were 0.88, 0.80, 0.91 respectively for GCW, GWW and GWE. The main contributions concern the proposal of the parameter identification procedure, applied on an integrated cardiovascular model, able to reproduce LV pressure specifically to each AS patient, by non-invasive procedures, as well as a new method for the non-invasive estimation of constructive, wasted myocardial work and work efficiency in AS. Public Library of Science 2020-03-03 /pmc/articles/PMC7053724/ /pubmed/32126071 http://dx.doi.org/10.1371/journal.pone.0229609 Text en © 2020 Owashi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Owashi, Kimi P.
Hubert, Arnaud
Galli, Elena
Donal, Erwan
Hernández, Alfredo I.
Le Rolle, Virginie
Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
title Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
title_full Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
title_fullStr Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
title_full_unstemmed Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
title_short Model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
title_sort model-based estimation of left ventricular pressure and myocardial work in aortic stenosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053724/
https://www.ncbi.nlm.nih.gov/pubmed/32126071
http://dx.doi.org/10.1371/journal.pone.0229609
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