Literature DB >> 30260033

The Influence of Rotary Blood Pump Speed Modulation on the Risk of Intraventricular Thrombosis.

Sam Liao1,2,3, Eric L Wu2,4, Michael Neidlin3, Zhiyong Li1, Benjamin Simpson5, Shaun D Gregory2,4,6.   

Abstract

Rotary left ventricular assist devices (LVADs) are commonly operated at a constant speed, attenuating blood flow pulsatility. Speed modulation of rotary LVADs has been demonstrated to improve vascular pulsatility and pump washout. The effect of LVAD speed modulation on intraventricular flow dynamics is not well understood, which may have an influence on thromboembolic events. This study aimed to numerically evaluate intraventricular flow characteristics with a speed modulated LVAD. A severely dilated anatomical left ventricle was supported by a HeartWare HVAD in a three-dimensional multiscale computational fluid dynamics model. Three LVAD operating scenarios were evaluated: constant speed and sinusoidal co- and counter-pulsation. In all operating scenarios, the mean pump speed was set to restore the cardiac output to 5.0 L/min. Co- and counter-pulsation was speed modulated with an amplitude of 750 rpm. The risk of thrombosis was evaluated based on blood residence time, ventricular washout, kinetic energy densities, and a pulsatility index map. Blood residence time for co-pulsation was on average 1.8 and 3.7% lower than constant speed and counter-pulsation mode, respectively. After introducing fresh blood to displace preexisting blood for 10 cardiac cycles, co-pulsation had 1.5% less old blood in comparison to counter-pulsation. Apical energy densities were 84 and 27% higher for co-pulsation in comparison to counter-pulsation and constant speed mode, respectively. Co-pulsation had an increased pulsatility index around the left ventricular outflow tract and mid-ventricle. Improved flow dynamics with co-pulsation was caused by increased E-wave velocities which minimized blood stasis. In the studied scenario and from the perspective of intraventricular flow dynamics, co-pulsation of rotary LVADs could minimize the risk of intraventricular thrombosis.
© 2018 International Center for Artificial Organs and Transplantation and Wiley Periodicals, Inc.

Entities:  

Keywords:  Cannula; Computational model; Heart failure; Pulsation; Ventricular assist device; Ventricular flow

Mesh:

Year:  2018        PMID: 30260033     DOI: 10.1111/aor.13330

Source DB:  PubMed          Journal:  Artif Organs        ISSN: 0160-564X            Impact factor:   3.094


  6 in total

1.  Mathematical and Computational Modeling of Device-Induced Thrombosis.

Authors:  Keefe B Manning; Franck Nicoud; Susan M Shea
Journal:  Curr Opin Biomed Eng       Date:  2021-09-28

2.  A New Mathematical Numerical Model to Evaluate the Risk of Thrombosis in Three Clinical Ventricular Assist Devices.

Authors:  Yuan Li; Hongyu Wang; Yifeng Xi; Anqiang Sun; Xiaoyan Deng; Zengsheng Chen; Yubo Fan
Journal:  Bioengineering (Basel)       Date:  2022-05-27

3.  Understanding the influence of left ventricular assist device inflow cannula alignment and the risk of intraventricular thrombosis.

Authors:  Michael Neidlin; Sam Liao; Zhiyong Li; Benjamin Simpson; David M Kaye; Ulrich Steinseifer; Shaun Gregory
Journal:  Biomed Eng Online       Date:  2021-05-11       Impact factor: 2.819

4.  Ventricular Flow Field Visualization During Mechanical Circulatory Support in the Assisted Isolated Beating Heart.

Authors:  P Aigner; M Schweiger; K Fraser; Y Choi; F Lemme; N Cesarovic; U Kertzscher; H Schima; M Hübler; M Granegger
Journal:  Ann Biomed Eng       Date:  2019-11-18       Impact factor: 3.934

5.  An Accelerated Thrombosis Model for Computational Fluid Dynamics Simulations in Rotary Blood Pumps.

Authors:  Christopher Blum; Sascha Groß-Hardt; Ulrich Steinseifer; Michael Neidlin
Journal:  Cardiovasc Eng Technol       Date:  2022-01-14       Impact factor: 2.305

6.  Left atrial appendage occlusion in ventricular assist device patients to decrease thromboembolic events: A computer simulation study.

Authors:  Mojgan Ghodrati-Misek; Thomas Schlöglhofer; Christoph Gross; Alexander Maurer; Daniel Zimpfer; Dietrich Beitzke; Francesco Zonta; Francesco Moscato; Heinrich Schima; Philipp Aigner
Journal:  Front Physiol       Date:  2022-09-29       Impact factor: 4.755

  6 in total

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