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In Vitro Thrombosis Test for Ventricular Assist Devices
09:15

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Published on: March 21, 2025

Device thrombogenicity emulation: a novel method for optimizing mechanical circulatory support device

Gaurav Girdhar1, Michalis Xenos, Yared Alemu

  • 1Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America.

Plos One
|March 8, 2012
PubMed
Summary

A new Device Thrombogenicity Emulation (DTE) method optimizes mechanical circulatory support (MCS) devices. This approach reduces platelet activation, potentially eliminating the need for lifelong anticoagulation in heart failure patients.

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Materials Science

Background:

  • Mechanical circulatory support (MCS) devices are crucial for advanced heart failure patients.
  • Thromboembolic complications due to platelet activation necessitate lifelong anticoagulation therapy.
  • Enhancing device thromboresistance is critical for long-term MCS device use.

Purpose of the Study:

  • To develop a universal predictive methodology, Device Thrombogenicity Emulation (DTE), for optimizing MCS device thrombogenic performance.
  • To achieve a thrombogenic level in MCS devices that may obviate the need for mandatory anticoagulation.
  • To demonstrate the proof-of-concept of DTE using rotary Left Ventricular Assist Devices (LVADs).

Main Methods:

  • DTE combines in silico numerical simulations with in vitro measurements.
  • Correlating device hemodynamics with platelet activity and coagulation markers.
  • Iterative design modifications based on DTE analysis to optimize thrombogenic performance.

Main Results:

  • Calculated cumulative stresses to represent the device 'thrombogenic footprint' using probability density functions (PDFs).
  • Demonstrated significantly reduced thrombogenicity for an optimized LVAD design compared to a standard design.
  • Observed an order of magnitude lower platelet activity rate in optimized pump prototypes under clinical conditions.

Conclusions:

  • DTE is a robust predictive technology for pre-clinical MCS device thrombo-optimization.
  • The DTE methodology can achieve safe and cost-effective optimization of device thrombogenicity.
  • Optimized MCS devices show potential for significantly limiting the need for antithrombotic pharmacotherapy.