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Author:

Gao, Bin (Gao, Bin.) | Kang, Yizhou (Kang, Yizhou.) | Zhang, Qi (Zhang, Qi.) | Chang, Yu (Chang, Yu.) (Scholars:常宇)

Indexed by:

EI Scopus SCIE PubMed

Abstract:

Background and Objective: The series type of LVAD (i.e., BJUT-II VAD) is a novel left ventricular assist device, whose effects on the aortic valve remain unclear. Methods: The biomechanical effects of BJUT-II VAD on the aortic valve were investigated by using a fluidstructure interaction method. The geometric model of BJUT-II VAD was virtually implanted into the ascending aorta to generate the realistic flow pattern for the aortic valve (i.e., support). In addition, the biomechanical states of the aortic valve without BJUT-II VAD support was computed as control (i.e., control case). Results: Results demonstrated that the biomechanical effects of BJUT-II VAD were quite different from that resulting from traditional 'bypass LVAD.' Compared with those in the control case, BJUT-II VAD support could significantly reduce the stress load of the leaflet (maximum stress, 0.5 MPa in the control case vs. 0.12 MPa in the support case). Similarly, the rapid valve opening time (100 ms in the control case vs. 175 ms in the support case) and rapid valve closing time (50 ms in the control case vs. 150 ms in the support case) in the support case were obviously longer than those in the control case. Moreover, BJUT-II VAD support reduced retrograde blood flow during the diastolic phase and significantly changed the distribution of WSS of the leaflets. Conclusions: In summary, while unloading the left ventricle, BJUT-II VAD could provide beneficial biomechanical states for the aortic leaflets, thereby reducing the risk of aortic valve disease. © 2020

Keyword:

Unloading Blood vessels Biomechanics Left ventricular assist devices Flow patterns

Author Community:

  • [ 1 ] [Gao, Bin]School of Life Science and Bioengineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Kang, Yizhou]School of Life Science and Bioengineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhang, Qi]National Energy Conservation Center, Beijing, China
  • [ 4 ] [Chang, Yu]School of Life Science and Bioengineering, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • [gao, bin]school of life science and bioengineering, beijing university of technology, beijing; 100124, china

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Source :

Computer Methods and Programs in Biomedicine

ISSN: 0169-2607

Year: 2020

Volume: 197

6 . 1 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:132

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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