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Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models

Extant clinical research has underscored that patients suffering from atrial fibrillation (AF) bear an elevated risk for stroke, predominantly driven by the formation of thrombus in the left atrial appendage (LAA). As such, accurately identifying those at an increased risk of thrombosis becomes para...

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Autores principales: Yang, Jun, Bai, Zitao, Song, Chentao, Ding, Huirong, Chen, Mu, Sun, Jian, Liu, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451249/
https://www.ncbi.nlm.nih.gov/pubmed/37627830
http://dx.doi.org/10.3390/bioengineering10080944
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author Yang, Jun
Bai, Zitao
Song, Chentao
Ding, Huirong
Chen, Mu
Sun, Jian
Liu, Xiaohua
author_facet Yang, Jun
Bai, Zitao
Song, Chentao
Ding, Huirong
Chen, Mu
Sun, Jian
Liu, Xiaohua
author_sort Yang, Jun
collection PubMed
description Extant clinical research has underscored that patients suffering from atrial fibrillation (AF) bear an elevated risk for stroke, predominantly driven by the formation of thrombus in the left atrial appendage (LAA). As such, accurately identifying those at an increased risk of thrombosis becomes paramount to facilitate timely and effective treatment. This study was designed to shed light on the mechanisms underlying thrombus formation in the LAA by employing three-dimensional (3D) left atrium (LA) models of AF patients, which were constructed based on Computed Tomography (CT) imaging. The distinct benefits of Computational Fluid Dynamics (CFD) were leveraged to simulate the blood flow field within the LA, using three distinct blood flow models, both under AF and sinus rhythm (SR) conditions. The potential risk of thrombus formation was evaluated by analyzing the Relative Residence Time (RRT) and Endothelial Cell Activation Potential (ECAP) values. The results gleaned from this study affirm that all three blood flow models align with extant clinical guidelines, thereby enabling an effective prediction of thrombosis risk. However, noteworthy differences emerged when comparing the intricacies of the flow field and thrombosis risk across the three models. The single-phase non-Newtonian blood flow model resulted in comparatively lower residence times for blood within the LA and lower values for the Oscillatory Shear Index (OSI), RRT, and ECAP within the LAA. These findings suggest a reduced thrombosis risk. Conversely, the two-phase non-Newtonian blood flow model exhibited a higher residence time for blood and elevated RRT value within the LAA, suggesting an increased risk for thrombosis.
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spelling pubmed-104512492023-08-26 Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models Yang, Jun Bai, Zitao Song, Chentao Ding, Huirong Chen, Mu Sun, Jian Liu, Xiaohua Bioengineering (Basel) Article Extant clinical research has underscored that patients suffering from atrial fibrillation (AF) bear an elevated risk for stroke, predominantly driven by the formation of thrombus in the left atrial appendage (LAA). As such, accurately identifying those at an increased risk of thrombosis becomes paramount to facilitate timely and effective treatment. This study was designed to shed light on the mechanisms underlying thrombus formation in the LAA by employing three-dimensional (3D) left atrium (LA) models of AF patients, which were constructed based on Computed Tomography (CT) imaging. The distinct benefits of Computational Fluid Dynamics (CFD) were leveraged to simulate the blood flow field within the LA, using three distinct blood flow models, both under AF and sinus rhythm (SR) conditions. The potential risk of thrombus formation was evaluated by analyzing the Relative Residence Time (RRT) and Endothelial Cell Activation Potential (ECAP) values. The results gleaned from this study affirm that all three blood flow models align with extant clinical guidelines, thereby enabling an effective prediction of thrombosis risk. However, noteworthy differences emerged when comparing the intricacies of the flow field and thrombosis risk across the three models. The single-phase non-Newtonian blood flow model resulted in comparatively lower residence times for blood within the LA and lower values for the Oscillatory Shear Index (OSI), RRT, and ECAP within the LAA. These findings suggest a reduced thrombosis risk. Conversely, the two-phase non-Newtonian blood flow model exhibited a higher residence time for blood and elevated RRT value within the LAA, suggesting an increased risk for thrombosis. MDPI 2023-08-08 /pmc/articles/PMC10451249/ /pubmed/37627830 http://dx.doi.org/10.3390/bioengineering10080944 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Jun
Bai, Zitao
Song, Chentao
Ding, Huirong
Chen, Mu
Sun, Jian
Liu, Xiaohua
Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models
title Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models
title_full Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models
title_fullStr Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models
title_full_unstemmed Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models
title_short Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models
title_sort research on the internal flow field of left atrial appendage and stroke risk assessment with different blood models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451249/
https://www.ncbi.nlm.nih.gov/pubmed/37627830
http://dx.doi.org/10.3390/bioengineering10080944
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