ArticleInternational journal for numerical methods in biomedical engineering2022
Non-Newtonian blood rheology impacts left atrial stasis in patient-specific simulations.
Article in International journal for numerical methods in biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 58 citations in OpenAlex.
- Sinogram-based flow estimation in computed tomography using a physics-informed neural network: Impact of gantry rotation speed, X-ray fluence and pulsed acquisition on accuracy.Medical physics · 2026Article
- Determinants of Impaired Left Atrial Hemodynamics in Paroxysmal Atrial Fibrillation: A 4D Flow MRI Study.Journal of imaging · 2026Article
- Left atrial flow and thrombosis risk from 4D CT contrast dynamics by physics-informed neural network and indicator dilution theory.bioRxiv : the preprint server for biology · 2026Article
- Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties.PLoS computational biology · 2025Article
- Intersecting Pathways: The Impact of Philadelphia-Negative Chronic Myeloproliferative Neoplasms on the Pathogenesis and Progression of Heart Failure with Preserved Ejection Fraction.Diagnostics (Basel, Switzerland) · 2025Article
- Hemodynamics affects factor XI/XII anticoagulation efficacy in patient-derived left atrial models.Computer methods and programs in biomedicine · 2025Article
- Super-resolution left ventricular flow and pressure mapping by Navier-Stokes-informed neural networks.Computers in biology and medicine · 2025Article
- Multiphysics simulations reveal haemodynamic impacts of patient-derived fibrosis-related changes in left atrial tissue mechanics.The Journal of physiology · 2024Article
- Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus.PLoS computational biology · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.Scientific reports · 2024Article
- Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks.bioRxiv : the preprint server for biology · 2024Article
- Slow blood-flow in the left atrial appendage is associated with stroke in atrial fibrillation patients.Heliyon · 2024Article
- The role of the pulmonary veins on left atrial flow patterns and thrombus formation.Scientific reports · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.bioRxiv : the preprint server for biology · 2024Article
- Benchtop Models of Patient-Specific Intraventricular Flow During Heart Failure and LVAD Support.Journal of biomechanical engineering · 2023Article
- Efficient multi-fidelity computation of blood coagulation under flow.PLoS computational biology · 2023Article
- Pulmonary vein flow split effects in patient-specific simulations of left atrial flow.Computers in biology and medicine · 2023Article
- Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models.Bioengineering (Basel, Switzerland) · 2023Article
- Recasting Current Knowledge of Human Fetal Circulation: The Importance of Computational Models.Journal of cardiovascular development and disease · 2023Review
- Machine Learning and the Conundrum of Stroke Risk Prediction.Arrhythmia & electrophysiology review · 2023Review
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
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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