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Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling

Although considered by many as the gold standard clinical measure of arterial stiffness, carotid-to-femoral pulse wave velocity (cf-PWV) averages material and geometric properties over a large portion of the central arterial tree. Given that such properties may evolve differentially as a function of...

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Autores principales: Cuomo, Federica, Roccabianca, Sara, Dillon-Murphy, Desmond, Xiao, Nan, Humphrey, Jay D., Figueroa, C. Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333881/
https://www.ncbi.nlm.nih.gov/pubmed/28253335
http://dx.doi.org/10.1371/journal.pone.0173177
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author Cuomo, Federica
Roccabianca, Sara
Dillon-Murphy, Desmond
Xiao, Nan
Humphrey, Jay D.
Figueroa, C. Alberto
author_facet Cuomo, Federica
Roccabianca, Sara
Dillon-Murphy, Desmond
Xiao, Nan
Humphrey, Jay D.
Figueroa, C. Alberto
author_sort Cuomo, Federica
collection PubMed
description Although considered by many as the gold standard clinical measure of arterial stiffness, carotid-to-femoral pulse wave velocity (cf-PWV) averages material and geometric properties over a large portion of the central arterial tree. Given that such properties may evolve differentially as a function of region in cases of hypertension and aging, among other conditions, there is a need to evaluate the potential utility of cf-PWV as an early diagnostic of progressive vascular stiffening. In this paper, we introduce a data-driven fluid-solid-interaction computational model of the human aorta to simulate effects of aging-related changes in regional wall properties (e.g., biaxial material stiffness and wall thickness) and conduit geometry (e.g., vessel caliber, length, and tortuosity) on several metrics of arterial stiffness, including distensibility, augmented pulse pressure, and cyclic changes in stored elastic energy. Using the best available biomechanical data, our results for PWV compare well to findings reported for large population studies while rendering a higher resolution description of evolving local and global metrics of aortic stiffening. Our results reveal similar spatio-temporal trends between stiffness and its surrogate metrics, except PWV, thus indicating a complex dependency of the latter on geometry. Lastly, our analysis highlights the importance of the tethering exerted by external tissues, which was iteratively estimated until hemodynamic simulations recovered typical values of tissue properties, pulse pressure, and PWV for each age group.
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spelling pubmed-53338812017-03-10 Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling Cuomo, Federica Roccabianca, Sara Dillon-Murphy, Desmond Xiao, Nan Humphrey, Jay D. Figueroa, C. Alberto PLoS One Research Article Although considered by many as the gold standard clinical measure of arterial stiffness, carotid-to-femoral pulse wave velocity (cf-PWV) averages material and geometric properties over a large portion of the central arterial tree. Given that such properties may evolve differentially as a function of region in cases of hypertension and aging, among other conditions, there is a need to evaluate the potential utility of cf-PWV as an early diagnostic of progressive vascular stiffening. In this paper, we introduce a data-driven fluid-solid-interaction computational model of the human aorta to simulate effects of aging-related changes in regional wall properties (e.g., biaxial material stiffness and wall thickness) and conduit geometry (e.g., vessel caliber, length, and tortuosity) on several metrics of arterial stiffness, including distensibility, augmented pulse pressure, and cyclic changes in stored elastic energy. Using the best available biomechanical data, our results for PWV compare well to findings reported for large population studies while rendering a higher resolution description of evolving local and global metrics of aortic stiffening. Our results reveal similar spatio-temporal trends between stiffness and its surrogate metrics, except PWV, thus indicating a complex dependency of the latter on geometry. Lastly, our analysis highlights the importance of the tethering exerted by external tissues, which was iteratively estimated until hemodynamic simulations recovered typical values of tissue properties, pulse pressure, and PWV for each age group. Public Library of Science 2017-03-02 /pmc/articles/PMC5333881/ /pubmed/28253335 http://dx.doi.org/10.1371/journal.pone.0173177 Text en © 2017 Cuomo 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
Cuomo, Federica
Roccabianca, Sara
Dillon-Murphy, Desmond
Xiao, Nan
Humphrey, Jay D.
Figueroa, C. Alberto
Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
title Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
title_full Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
title_fullStr Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
title_full_unstemmed Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
title_short Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
title_sort effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333881/
https://www.ncbi.nlm.nih.gov/pubmed/28253335
http://dx.doi.org/10.1371/journal.pone.0173177
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