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. 2023 May 25:14:1192610.
doi: 10.3389/fphys.2023.1192610. eCollection 2023.

Full-scale numerical simulation of hemodynamics based on left ventricular assist device

Xinyi Gao  1 , Zhike Xu  1 , Chenghan Chen  1 , Pengfei Hao  1   2 , Feng He  1 , Xiwen Zhang  1
Affiliations

Full-scale numerical simulation of hemodynamics based on left ventricular assist device

Xinyi Gao et al. Front Physiol. .

Abstract

Ventricular assist devices have been widely used and accepted to treat patients with end-stage heart failure. The role of VAD is to improve circulatory dysfunction or temporarily maintain the circulatory status of patients. In order to be closer to the medical practice, a multi-Domain model of the left ventricular coupled axial flow artificial heart was considered to study the effect of its hemodynamics on the aorta. Because whether LVAD itself was connected between the left ventricular apex and the ascending aorta by catheter in the loop was not very important for the analysis of simulation results, on the premise of ensuring the multi-Domain simulation, the simulation data of the import and export ends of LVAD were imported to simplify the model. In this paper, the hemodynamic parameters in the ascending aorta, such as blood flow velocity vector, wall shear stress distribution, vorticity current intensity, vorticity flow generation, etc., have been calculated. The numerical conclusion of this study showed the vorticity intensity under LVAD was significantly higher than that under patients' conditions and the overall condition is similar to that of a healthy ventricular spin, which can improve heart failure patients' condition while minimizing other pitfalls. In addition, high velocity blood flow during left ventricular assist surgery is mainly concentrated near the lining of the ascending aorta lumen. What's more, the paper proposes to use Q criterion to determine the generation of vorticity flow. The Q criterion of LVAD is much higher than that of patients with heart failure, and the closer the LVAD is to the wall of the ascending aorta, the greater the Q criterion is. All these are beneficial to the effectiveness of LVAD in the treatment of heart failure patients and provide clinical suggestions for the LVAD implantation in clinical practice.

Keywords: CFD; LVAD; aorta; full-scale model; heart failure; hemodynamics.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
(A) Comparison of calculated results and experimental results under different rotational speeds of the blood pump. Abscissa Q is the flow rate at the outlet after the pump, and ordinate H is the pressure at the outlet after the pump (Wu, 2016). (B) blood pump and the inlet/outlet of the blood pump.
FIGURE 2
FIGURE 2
Multi-Domain geometric model (A) heart failure patient case/healthy human case (B) LVAD case.
FIGURE 3
FIGURE 3
(A–C) The maximum velocity of the ascending aortic basin in different grids (D) Meshing in this study.
FIGURE 4
FIGURE 4
S1, S2, S3 cross section velocity contour (A) heart failure patient case (B) LVAD case.
FIGURE 5
FIGURE 5
Blood streamline (A) healthy case (B) LVAD case (C) heart failure patient case.
FIGURE 6
FIGURE 6
Velocity vector contours (A) healthy case (B) LVAD case (C) heart failure patient case.
FIGURE 7
FIGURE 7
WSS cloud contours (A) healthy case (B) LVAD case (C) heart failure patient case.
FIGURE 8
FIGURE 8
Longitudinal changes of area mean vorticity density along the central line of the aorta.
FIGURE 9
FIGURE 9
Q criterion cloud contour (A) heart failure case (B) LVAD case (C) Cross-sectional side view (D) Cross-sectional main view.
See this image and copyright information in PMC

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