4.4 Article

Non-Newtonian blood rheology impacts left atrial stasis in patient-specific simulations

出版社

WILEY
DOI: 10.1002/cnm.3597

关键词

atrial fibrillation; blood viscosity; computational fluid dynamics; hematocrit; left atrium; thrombosis

资金

  1. Comunidad de Madrid
  2. Fundacion Banco Santander
  3. Spanish Agency of Research
  4. Universidad Carlos III de Madrid
  5. University of California, San Diego
  6. National Institutes of Health
  7. American Heart Association

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This study identified that in patients with AF, non-Newtonian viscosity and blood stasis in the LAA increase the risk of thrombosis and stroke, often overlooked. Computational fluid dynamics simulations confirmed the impact of hematocrit on blood stasis in the LAA.
The lack of mechanically effective contraction of the left atrium (LA) during atrial fibrillation (AF) disturbs blood flow, increasing the risk of thrombosis and ischemic stroke. Thrombosis is most likely in the left atrial appendage (LAA), a small narrow sac where blood is prone to stagnate. Slow flow promotes the formation of erythrocyte aggregates in the LAA, also known as rouleaux, causing viscosity gradients that are usually disregarded in patient-specific simulations. To evaluate these non-Newtonian effects, we built atrial models derived from 4D computed tomography scans of patients and carried out computational fluid dynamics simulations using the Carreau-Yasuda constitutive relation. We examined six patients, three of whom had AF and LAA thrombosis or a history of transient ischemic attacks (TIAs). We modeled the effects of hematocrit and rouleaux formation kinetics by varying the parameterization of the Carreau-Yasuda relation and modulating non-Newtonian viscosity changes based on residence time. Comparing non-Newtonian and Newtonian simulations indicates that slow flow in the LAA increases blood viscosity, altering secondary swirling flows and intensifying blood stasis. While some of these effects are subtle when examined using instantaneous metrics like shear rate or kinetic energy, they are manifested in the blood residence time, which accumulates over multiple heartbeats. Our data also reveal that LAA blood stasis worsens when hematocrit increases, offering a potential new mechanism for the clinically reported correlation between hematocrit and stroke incidence. In summary, we submit that hematocrit-dependent non-Newtonian blood rheology should be considered when calculating patient-specific blood stasis indices by computational fluid dynamics.

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