A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients

Shankar Narayan S1,2, Sunanda Saha3, Anuradha Bhattacharjee2

  • 1CMR Institute of Technology, Bengaluru, 560037, India.

Results in Engineering
|March 23, 2022
PubMed

Insights

COVID-19 infection increases blood viscosity, altering arterial blood flow. This study models these hyperviscous effects in stenosed arteries using advanced computational methods for the first time.

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Cardiovascular Physiology

Background:

  • COVID-19 infection is associated with significant hematological changes.
  • Increased blood viscosity (hyperviscosity) is a documented consequence of COVID-19.
  • Arterial stenosis can be exacerbated by altered blood rheology.

Purpose of the Study:

  • To develop and apply a mathematical model analyzing blood flow in stenosed arteries under hyperviscous conditions.
  • To investigate the impact of COVID-19-induced hyperviscosity on hemodynamics within arterial segments.

Main Methods:

  • A system of differential equations was formulated to model blood flow.
  • The finite element method (FEM) was employed for numerical simulation.
  • Fluid-Structure Interaction (FSI) was analyzed using the Arbitrary Lagrangian-Eulerian (ALE) method.

Main Results:

  • The study successfully modeled the effects of hyperviscous blood flow in a stenosed artery.
  • Computational analysis revealed significant alterations in blood flow characteristics due to increased viscosity.
  • This research provides novel insights into the biomechanical consequences of COVID-19 on arterial circulation.

Conclusions:

  • The developed mathematical model offers a new approach to study hyperviscous blood flow in arterial stenosis.
  • Findings highlight the potential impact of COVID-19 on cardiovascular health through rheological changes.
  • This work bridges clinical observations with biomechanical modeling for COVID-19 research.

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