2016
DOI: 10.1007/s10237-016-0793-2
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Development of a computational model for macroscopic predictions of device-induced thrombosis

Abstract: While cardiovascular device-induced thrombosis is associated with negative patient outcomes, the convoluted nature of the processes resulting in a thrombus makes the full thrombotic network too computationally expensive to simulate in the complex geometries and flow fields associated with devices. A macroscopic, continuum computational model is developed based on a simplified network, which includes terms for platelet activation (chemical and mechanical) and thrombus deposition and growth in regions of low wal… Show more

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Cited by 70 publications
(94 citation statements)
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“…The effects of thrombus growth on the flow field are captured through a momentum source term and changes in local porosity [12,13]. While most of previous models assumed steady flow [10,12,16,37], we found that areas of flow recirculation and low shear could be better captured through time-averaged variables under pulsatile flow. The use of time-averaged values can also reduce the dependence of the process on inlet boundary conditions that are subject to large variations over the actual time course of thrombus growth.…”
Section: Discussionmentioning
confidence: 83%
See 1 more Smart Citation
“…The effects of thrombus growth on the flow field are captured through a momentum source term and changes in local porosity [12,13]. While most of previous models assumed steady flow [10,12,16,37], we found that areas of flow recirculation and low shear could be better captured through time-averaged variables under pulsatile flow. The use of time-averaged values can also reduce the dependence of the process on inlet boundary conditions that are subject to large variations over the actual time course of thrombus growth.…”
Section: Discussionmentioning
confidence: 83%
“…[30] and Taylor et al . [16], allows us to reach local AP concentrations needed for the formation of BP within a short time frame, while still preventing high AP concentrations in non-thrombotic regions. As BP is the only variable directly dependent on local AP values, results are not particularly sensitive to the initial AP concentration.…”
Section: Discussionmentioning
confidence: 99%
“…A simplified version of this numerical model, neglecting the contribution of stress rate, has been previously utilized in an Eulerian framework to show that platelet activation in abdominal aortic aneurysms accounts for less than 1% of background activation, with good agreement between the Eulerian model and a Lagrangian particle tracking approach 36 . This simplified model was further incorporated into a macroscopic predictive device-induced thrombus deposition and growth model to account for mechanically-activated paltelets 41 .…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the rates of pump thrombosis within some widely used ventricular assist devices (VADs) have increased these years . The complex mechanism involving blood platelet activation, aggregation, and pump thrombosis formation has been investigated mainly by computational simulation of platelet activation and adhesion . Some in vitro experiments have also been proposed to measure the platelet response to the shear stress and platelet activation .…”
Section: Introductionmentioning
confidence: 99%
“…Procoagulant substances are secreted, and thrombin is produced by flow‐induced forces, after which platelets adhere to exogenous surfaces and aggregate . It is difficult to model the thrombosis process within VADs because of the complexity of the thrombotic process combined with its multi‐scale nature . However, there have been numerous models for platelet adhesion and deposition, including a spatiotemporal mathematical model for simulating the formation and growth of a thrombus presented by Wu et al and a numerical model of thrombosis/thromboembolism presented to predict the progression of thrombus growth in low‐shear devices .…”
Section: Introductionmentioning
confidence: 99%