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Related Experiment Video

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Implantation of Left Ventricular Assist Device (LVAD) in Juvenile Landrace Swine: A LVAD Implantation Model of Pediatric Heart Failure
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Computational analysis of pediatric ventricular assist device implantation to decrease cerebral particulate

ThuyTien Nguyen1, I Ricardo Argueta-Morales2, Stephen Guimond1

  • 1a Department of Mechanical and Aerospace Engineering, College of Engineering and Computer Science, University of Central Florida , Orlando , FL , USA.

Computer Methods in Biomechanics and Biomedical Engineering
|July 28, 2015
PubMed
Summary
This summary is machine-generated.

Computational fluid dynamics (CFD) analysis of ventricular assist device (VAD) implantation geometry can reduce pediatric stroke risk. Optimizing VAD outflow-graft angles minimizes cerebral embolization, improving patient outcomes.

Keywords:
anastomosisaortic archcirculatory assist devicescomputer applicationspediatric heart surgerystroke

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Area of Science:

  • Biomedical Engineering
  • Pediatric Cardiology
  • Medical Device Technology

Background:

  • Stroke is a major complication following pediatric ventricular assist device (VAD) implantation, with high mortality.
  • Current VAD technology and anticoagulation methods are insufficient to prevent stroke in children.
  • Computational methods offer a potential avenue to reduce the risk of cerebral embolization.

Purpose of the Study:

  • To investigate the impact of VAD implantation geometry on cerebral embolization risk using computational fluid dynamics (CFD).
  • To determine optimal VAD outflow-graft configurations for minimizing stroke risk in pediatric patients.
  • To assess the influence of patient-specific anatomy on VAD-related stroke risk.

Main Methods:

  • Generation of 3D aortic arch models for infant and child patients.
  • Simulation of blood flow patterns using CFD with a VAD outflow-graft.
  • Calculation of particle tracks originating from the VAD to assess cerebral vessel entry percentages for various implantation angles and particle sizes.

Main Results:

  • For infant models, cerebral embolization ranged from 15% (90° anastomosis) to 31% (30° anastomosis).
  • For child models, cerebral embolization ranged from 9% (30° anastomosis) to 15% (60° anastomosis).
  • VAD implantation geometry significantly influences the risk of stroke, with patient-specific anatomy also playing a role.

Conclusions:

  • CFD analysis demonstrates that VAD implantation geometry is a critical factor in pediatric stroke risk.
  • Optimizing VAD implantation angles can significantly reduce the potential for cerebral embolization.
  • CFD provides a valuable tool for personalizing VAD implantation strategies to minimize stroke risk in pediatric patients.