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Updated: Jul 2, 2025

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Performance and Reliable Operation of Physiological Controllers Under Various Cardiovascular Models: In Silico and In

Thomas Gwosch¹, Konstantinos Magkoutas², David Kaiser¹

¹From the Product Development Group Zurich, ETH Zurich, Zurich, Switzerland.

ASAIO Journal (American Society for Artificial Internal Organs : 1992)

|February 19, 2024

Summary

This summary is machine-generated.

Evaluating left ventricular assist device (LVAD) controllers requires robust cardiovascular models (CVMs). Different CVMs reveal significant performance variations, highlighting the need for multi-model testing to ensure reliable LVAD operation across diverse patient conditions.

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An Isolated Working Heart System for Large Animal Models

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Published on: June 11, 2014

Area of Science:

Biomedical Engineering
Cardiovascular Physiology
Medical Device Control

Background:

Left ventricular assist device (LVAD) control requires accurate human cardiovascular models (CVMs).
Patient-specific data leads to variability in CVM performance and parameters.
Assessing LVAD controller reliability necessitates understanding CVM influence.

Purpose of the Study:

To evaluate the performance and reliability of LVAD controllers.
To investigate the impact of interpatient variability using two distinct CVMs.
To assess controller efficacy under extreme test conditions.

Main Methods:

Utilized two state-of-the-art cardiovascular models (CVMs).
Employed extreme test cases for evaluation.
Conducted both in silico and in vitro experiments.

Main Results:

Observed significant differences in CVM responses due to structural and parameter variations.
One CVM showed higher overload rates; the other exhibited increased sensitivity to preload/afterload changes, leading to more suction events (34.2% vs. 8.5%).
LVAD controller responses varied considerably across the different CVMs.

Conclusions:

The choice of CVM significantly influences LVAD controller performance assessment.
Testing LVAD controllers with multiple CVMs or a range of parameters is crucial.
This comprehensive evaluation approach is essential for ensuring controller efficacy in addressing interpatient variability.