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PMID: 37627830 Published · epublish English Journal Article

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

Bioengineering (Basel, Switzerland) ·Vol. 10 ·No. 8 ·2023-08-08

Yang J, Bai Z, Song C, Ding H, Chen M, Sun J, Liu X

Abstract

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.

Keywords
atrial fibrillation computational fluid dynamics left atrial appendage left atrium thrombus
作者与单位
共 7 位作者,点击展开单位 / ORCID
Yang Jun ORCID
School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Bai Zitao
School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Song Chentao
School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Ding Huirong
Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Chen Mu ORCID
Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Sun Jian
Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Liu Xiaohua ORCID
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China.
Article Info
Journal
Bioengineering (Basel, Switzerland)
Abbr.
Bioengineering (Basel)
ISSN
2306-5354
Published
2023-08-08
电子出版
2023-00-08
Language
English
Country/Region
Switzerland
NLM ID
101676056
基金资助
Shanghai Natural Science Fund · No.23ZR1444800
Clinical Research Plan of Shanghai Municipal Health Commission · No. 20224Y0078
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