Personalized Numerical Cardiovascular Model with Weight Growth for Evaluating Pediatric Left Ventricular Assist Devices: Derivation from an Experimental Mock Circulatory Loop

Phong Tran, Victor Tedesco, Simon Kiang, Shweta Karnik, David Nguyen, O. H. Frazier, Katharine H. Fraser, Yaxin Wang

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Abstract

Pediatric patients with heart failure have limited treatment options because of a shortage of donor hearts and compatible left ventricular assist devices (LVADs). To address this issue, our group is developing an implantable pediatric LVAD for patients weighing 5–20 kg, capable of accommodating different physiological hemodynamic conditions as patients grow. To evaluate LVAD prototypes across a wide range of conditions, we developed a numerical cardiovascular model, using data from a mock circulatory loop (MCL) and patient-specific elastance functions. The numerical MCL was validated against experimental MCL results, showing good agreement, with differences ranging from 0 to 11%. The numerical model was also tested under left heart failure conditions and showed a worst-case difference of 16%. In an MCL study with a pediatric LVAD, a pediatric dataset was obtained from the experimental MCL and used to tune the numerical MCL. Then, the numerical model simulated LVAD flow by using an HQ curve obtained from the LVAD’s impeller. When the numerical MCL was validated against the experimental MCL, hemodynamic differences ranged between 0 and 9%. These findings suggest that the numerical model can replicate various physiological conditions and impeller designs, indicating its potential as a tool for developing and optimizing pediatric LVADs.

Original languageEnglish
Pages (from-to)302-317
Number of pages16
JournalAnnals of Biomedical Engineering
Volume52
Early online date30 Sept 2023
DOIs
Publication statusPublished - 29 Feb 2024

Bibliographical note

Funding Information:
This research was supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under Award Number 1R01HL153538.


© The Author(s) under exclusive licence to Biomedical Engineering Society 2023

Funding

This research was supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under Award Number 1R01HL153538.

Keywords

  • Computational modeling
  • Heart failure
  • Hemodynamics
  • Left ventricular assist device

ASJC Scopus subject areas

  • Biomedical Engineering

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