The Influence of Aortic Valve Disease on Coronary Hemodynamics: A Computational Model-Based Study

Author:

Li Xuanyu1,Simakov Sergey2ORCID,Liu Youjun3,Liu Taiwei1,Wang Yue4,Liang Fuyou15ORCID

Affiliation:

1. Department of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

2. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow 119991, Russia

3. College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China

4. Department of Cardiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

5. State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Abstract

Aortic valve disease (AVD) often coexists with coronary artery disease (CAD), but whether and how the two diseases are correlated remains poorly understood. In this study, a zero–three dimensional (0-3D) multi-scale modeling method was developed to integrate coronary artery hemodynamics, aortic valve dynamics, coronary flow autoregulation mechanism, and systemic hemodynamics into a unique model system, thereby yielding a mathematical tool for quantifying the influences of aortic valve stenosis (AS) and aortic valve regurgitation (AR) on hemodynamics in large coronary arteries. The model was applied to simulate blood flows in six patient-specific left anterior descending coronary arteries (LADs) under various aortic valve conditions (i.e., control (free of AVD), AS, and AR). Obtained results showed that the space-averaged oscillatory shear index (SA-OSI) was significantly higher under the AS condition but lower under the AR condition in comparison with the control condition. Relatively, the overall magnitude of wall shear stress was less affected by AVD. Further data analysis revealed that AS induced the increase in OSI in LADs mainly through its role in augmenting the low-frequency components of coronary flow waveform. These findings imply that AS might increase the risk or progression of CAD by deteriorating the hemodynamic environment in coronary arteries.

Funder

NSFC-RSF project

National Natural Science Foundation of China

Russian Science Foundation

Interdisciplinary Program of Shanghai Jiao Tong University

Publisher

MDPI AG

Subject

Bioengineering

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