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PMID: 35124478 Published · ppublish English Journal Article

Co-simulation of hypertensive left ventricle based on computational fluid dynamics and a closed-loop network model.

Computer methods and programs in biomedicine ·Vol. 216 ·2022-04-00 ·页码 106649

Zuo X, Xu Z, Jia H, Mu Y, Zhang M, Yuan M, Wu C

Abstract

Hypertension is one of the most common chronic and cardiovascular diseases, with the largest number of deaths. According to clinical experience, long-term hypertension will cause cardiac hypertrophy and other complications, and heart structure remodeling will significantly change the energy characteristics of the heart chambers, and impair heart function. Research shows that, early hypertension can be diagnosed by the blood flow and energy loss in the left ventricle. Therefore, it is important to choose an appropriate method to simulate and predict the flow domain of this ventricle. This study took the left ventricular flow field of patients with hypertensive myocardial hypertrophy as the research object, used MATLAB-SIMULINK to establish a closed-loop network cardiovascular model, provided flow boundary conditions for the computational fluid dynamics (CFD) numerical simulation method, and, finally, completed a co-simulation. This article compared the degree of agreement between the energy loss in different phases of the heart cavity and clinical experimental data and summarized the characteristics of the flow field in patients with hypertensive myocardial hypertrophy. The analysis of three simulation groups (control group, non-left ventricular hypertrophy group, and left ventricular hypertrophy [LVH] group) showed that the vortices in the LVH group were irregular and not fully developed, accompanied by significant energy loss. The simulation method used in this study is basically consistent with the clinical data. Myocardial hypertrophy has a significant influence on the blood flow of the left ventricle. Changes in the blood flow make the left ventricular vortex distribution abnormal during the rapid systole and rapid ejection periods, leading to a series of dangerous factors, including increased energy loss and a low cardiac ejection fraction.

Keywords
Closed-loop network model Energy lossCFD Hypertension Left ventricle hypertrophy
MeSH 主题词
Heart Ventricles/diagnostic imaging Humans Hydrodynamics Hypertension/complications Hypertrophy, Left Ventricular/complications,diagnostic imaging Models, Cardiovascular
作者与单位
共 7 位作者,点击展开单位 / ORCID
Zuo Xiaowen
Department of Ultrasound Medicine, Chinese PLA Strategic Support Force Characteristic Medical Center, Beijing 100020, China. Electronic address: [email protected].
Xu Zhike
Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
Jia Huaping
Department of Ultrasound Medicine, Chinese PLA Strategic Support Force Characteristic Medical Center, Beijing 100020, China. Electronic address: [email protected].
Mu Yang
Department of Cardiology, the First Medical Center of Chinese PLA General Hospital, Beijing 100089, China.
Zhang Mingming
Department of Ultrasound Medicine, Chinese PLA Strategic Support Force Characteristic Medical Center, Beijing 100020, China.
Yuan Manli
Department of Ultrasound Medicine, Chinese PLA Strategic Support Force Characteristic Medical Center, Beijing 100020, China.
Wu Chengwei
Department of Engineering Mechanics, Dalian University of Technology, Dalian 106024, China.
Article Info
Journal
Computer methods and programs in biomedicine
Abbr.
Comput Methods Programs Biomed
ISSN
1872-7565
Published
2022-04-00
电子出版
2022-00-20
页码
106649
Language
English
Country/Region
Ireland
NLM ID
8506513
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