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Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models
Stroke is a life threatening event that is expected to more than double over the next 40 years. Atrial fibrillation (AF) has been reported as a strong independent risk factor for stroke. We have previously shown that a hemodynamic perturbation by AF or reduced cardiac output and cycle length may hav...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539283/ https://www.ncbi.nlm.nih.gov/pubmed/28765648 http://dx.doi.org/10.1038/s41598-017-06681-3 |
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author | Choi, Hyo Won Luo, Tong Navia, Jose A. Kassab, Ghassan S. |
author_facet | Choi, Hyo Won Luo, Tong Navia, Jose A. Kassab, Ghassan S. |
author_sort | Choi, Hyo Won |
collection | PubMed |
description | Stroke is a life threatening event that is expected to more than double over the next 40 years. Atrial fibrillation (AF) has been reported as a strong independent risk factor for stroke. We have previously shown that a hemodynamic perturbation by AF or reduced cardiac output and cycle length may have a significant impact on clot trajectory and thus embolic stroke propensity through the left common carotid artery using an idealized aortic arch model. Here, we show the dependence of flow patterns and hence stroke propensity on geometry of patient-specific aortas. We performed computational fluid dynamics (CFD) simulations to determine the variations of AF-induced stroke propensity over various image-based patient-dependent aorta models. The results demonstrated that curvature pattern of aorta can play a determinant role in AF-induced stroke propensity alteration. Specifically, it was shown that the hemodynamic perturbation by AF considered led to substantial increase in stroke propensity (i.e., 2.5~3.8 fold elevation) for lower curvature angle <90° while the changes in stroke propensity by AF are negligible for higher curvature angle >90°. The present simulations suggest that aortic arch curvature is an important risk factor for embolic stroke which should be tested in future clinical trials. |
format | Online Article Text |
id | pubmed-5539283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55392832017-08-07 Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models Choi, Hyo Won Luo, Tong Navia, Jose A. Kassab, Ghassan S. Sci Rep Article Stroke is a life threatening event that is expected to more than double over the next 40 years. Atrial fibrillation (AF) has been reported as a strong independent risk factor for stroke. We have previously shown that a hemodynamic perturbation by AF or reduced cardiac output and cycle length may have a significant impact on clot trajectory and thus embolic stroke propensity through the left common carotid artery using an idealized aortic arch model. Here, we show the dependence of flow patterns and hence stroke propensity on geometry of patient-specific aortas. We performed computational fluid dynamics (CFD) simulations to determine the variations of AF-induced stroke propensity over various image-based patient-dependent aorta models. The results demonstrated that curvature pattern of aorta can play a determinant role in AF-induced stroke propensity alteration. Specifically, it was shown that the hemodynamic perturbation by AF considered led to substantial increase in stroke propensity (i.e., 2.5~3.8 fold elevation) for lower curvature angle <90° while the changes in stroke propensity by AF are negligible for higher curvature angle >90°. The present simulations suggest that aortic arch curvature is an important risk factor for embolic stroke which should be tested in future clinical trials. Nature Publishing Group UK 2017-08-01 /pmc/articles/PMC5539283/ /pubmed/28765648 http://dx.doi.org/10.1038/s41598-017-06681-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Choi, Hyo Won Luo, Tong Navia, Jose A. Kassab, Ghassan S. Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models |
title | Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models |
title_full | Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models |
title_fullStr | Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models |
title_full_unstemmed | Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models |
title_short | Role of Aortic Geometry on Stroke Propensity based on Simulations of Patient-Specific Models |
title_sort | role of aortic geometry on stroke propensity based on simulations of patient-specific models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539283/ https://www.ncbi.nlm.nih.gov/pubmed/28765648 http://dx.doi.org/10.1038/s41598-017-06681-3 |
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