ArticleCardiovascular engineering and technology2022
An Accelerated Thrombosis Model for Computational Fluid Dynamics Simulations in Rotary Blood Pumps.
Article in Cardiovascular engineering and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 27 citations in OpenAlex.
- Interpretable Machine Learning for Feature-Based Classification of Platelet Activation in Rotary Blood Pumps.Cardiovascular engineering and technology · 2026Article
- Hemodynamic performance and blood damage of the Intra-aortic pumps: A CFD-Based investigation.Medical & biological engineering & computing · 2026Article
- Optimization of flow rate and orientation of outflow graft at implantation for patients with left ventricular assist device.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Improving hydraulic performance of the left atrial assist device using computational fluid dynamics.Artificial organs · 2025Article
- Numerical Study on the Impact of Central Venous Catheter Placement on Blood Flow in the Cavo-Atrial Junction.Annals of biomedical engineering · 2024Article
- [Progress in the analysis of hemolysis and coagulation models for interventional micro-axial flow blood pumps].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Review
- Study on the optimal elastic modulus of flexible blades for right heart assist device supporting patients with single-ventricle physiologies.Frontiers in cardiovascular medicine · 2024Article
- A fibrin enhanced thrombosis model for medical devices operating at low shear regimes or large surface areas.PLoS computational biology · 2022Article
- A New Mathematical Numerical Model to Evaluate the Risk of Thrombosis in Three Clinical Ventricular Assist Devices.Bioengineering (Basel, Switzerland) · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThrombosis ranks among the major complications in blood-carrying medical devices and a better understanding to influence the design related contribution to thrombosis is desirable. Over the past years many computational models of thrombosis have been developed. However, numerically cheap models able to predict localized thrombus risk in complex geometries are still lacking. The aim of the study was to develop and test a computationally efficient model for thrombus risk prediction in rotary blood pumps.
methodsWe used a two-stage approach to calculate thrombus risk. The first stage involves the computation of velocity and pressure fields by computational fluid dynamic simulations. At the second stage, platelet activation by mechanical and chemical stimuli was determined through species transport with an Eulerian approach. The model was compared with existing clinical data on thrombus deposition within the HeartMate II. Furthermore, an operating point and model parameter sensitivity analysis was performed.
resultsOur model shows good correlation (R
conclusionThe concentration of activated platelets can be used as a surrogate and computationally low-cost marker to determine potential risk regions of thrombus deposition in a blood pump. Relative comparisons of thrombus risk are possible even considering the intrinsic uncertainty in model parameters and operating conditions.
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