Non-Newtonian Patient-specific Numerical Study of Left Atrial Hemodynamic

ORAL

Abstract

Ischemic strokes due to cardiac thromboembolism are a leading cause of mortality in patients with atrial fibrillation (AF). During AF, disturbed atrial beating creates stagnant regions where clots can form, typically in the left atrial appendage (LAA). Blood has non-Newtonian rheology due to red blood cell aggregate (rouleaux) formation. Aggregation requires residence times of 1–10 s at shear rates <100 s-1. These conditions are met in the LAA and, consonantly, rouleaux are observed clinically as spontaneous echocardiographic contrast. Yet, previous CFD studies consider Newtonian rheology. We explore how non-Newtonian rheology affects LA flow in 6 patient-specific anatomies from 4D-CT imaging (3 in sinus rhythm, 3 in AF). We implement a semi-implicit Carreau-Yasuda model incorporating hematocrit (Hct), shear, and residence time to account for rouleaux formation. We consider a wide range of Hct values (37-55) and compare vs. Newtonian simulations on the same patients. We found that non-Newtonian effects can significantly affect LAA blood viscosity even at low Hct, altering hemodynamics LAA stasis predictions by CFD.

*PREFI-CM, Comunidad de Madrid, and Santander, Spain; American Heart Association; UCSD GEM Program; XSEDE; NHLBI UC-CAI Program; NIH 1R01HL160024.

Publication: https://www.biorxiv.org/content/10.1101/2021.06.24.449801v3

Presenters

  • Alejandro Gonzalo

    • UC San Diego & University of Washington
    • University of California San Diego

Authors

  • Alejandro Gonzalo

    • UC San Diego & University of Washington
    • University of California San Diego
  • Manuel Garcia-Villalba

    • Univ Carlos III De Madrid
    • Univ. Carlos III de Madrid
  • Lorenzo Rossini

    • University of California San Diego
  • Eduardo Duran

    • Univ Carlos III De Madrid
    • Univ. Carlos III de Madrid
  • Davis Vigneault

    • UC San Diego
    • Department of Radiology, Stanford University, Stanford, CA, 94305, USA
  • Pablo Martinez-Legazpi

    • Universidad Nacional de Educación a Distancia
    • Gregorio Marañon Hospital, Spain
    • Dpt. Física Matemática y Fluidos. UNED
  • Oscar Flores

    • Univ. Carlos III De Madrid
    • Univ Carlos III De Madrid
    • Univ. Carlos III de Madrid
  • Javier Bermejo

    • Hospital G.U. Gregorio Marañón
    • Gregorio Marañon Hospital, Spain
    • Hospital General Universitario Gregorio Marañon
    • Hospital General Universitario Gregorio Marañón
    • Hospital Gregorio Maranon, Madrid, Spain
  • Elliot McVeigh

    • UC San Diego
    • University of California San Diego
  • Andrew M Kahn

    • University of California San Diego
    • UC San Diego
    • University of California, San Diego
  • Juan Carlos del Alamo

    • University of Washington; University of California San Diego
    • UC San Diego & University of Washington
    • University of Washington
    • University of Washington & University of California, San Diego