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A simulation tool for mechanical circulatory support device interaction with diseased states.

David J Horvath1, Dennis W Horvath1, Jamshid H Karimov2

  • 1R1 Engineering, Euclid, OH, USA.

Journal of Artificial Organs : the Official Journal of the Japanese Society for Artificial Organs
|February 16, 2020
PubMed
Summary

A new simulation model investigates mechanical circulatory support (MCS) devices and circulatory system interactions. This tool aids in understanding device performance across diverse patient conditions and disease states.

Keywords:
Cardiovascular diseaseComputer simulationHeart assistLumped parameterMock circulation loopPumps

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Area of Science:

  • Cardiovascular Engineering
  • Biomedical Simulation
  • Medical Device Development

Background:

  • Mechanical circulatory support (MCS) devices are crucial for managing advanced heart failure.
  • Understanding the complex interactions between MCS devices and the human circulatory system is vital for optimizing patient outcomes.
  • Existing simulation models may not fully capture the nuances of various continuous-flow MCS devices and diverse physiological conditions.

Purpose of the Study:

  • To develop and present a comprehensive in silico simulation model for investigating the interactions between continuous-flow mechanical circulatory support (MCS) devices and the circulatory system.
  • To validate the simulation's capability to represent various patient conditions and disease states.
  • To provide a platform for evaluating novel MCS devices in development.

Main Methods:

  • Development of a mathematical core for an in silico simulation system.
  • Incorporation of a family of continuous-flow MCS devices into the model.
  • Simulation of diverse patient conditions and disease states.
  • Comparison of simulation outputs with in vitro and clinical data from existing literature.

Main Results:

  • The simulation model successfully replicates interactions between various continuous-flow MCS devices and the circulatory system.
  • The model demonstrates the ability to imitate diverse simulated patient conditions and disease states.
  • Simulation outputs show good agreement with selected in vitro and clinical data, validating the model's predictive capabilities.

Conclusions:

  • The developed in silico simulation system provides a robust platform for studying mechanical circulatory support (MCS) device performance.
  • This simulation tool can aid in the design, evaluation, and clinical application of continuous-flow MCS devices.
  • The model facilitates a deeper understanding of cardiovascular dynamics under various disease states and support scenarios.