Literature DB >> 36220632

Toward modeling thrombosis and thromboembolism in laminar and turbulent flow regimes.

Nicolas Tobin1, Keefe B Manning1,2.   

Abstract

Thrombosis and thromboembolism are deadly risk factors in blood-contacting biomedical devices, and in-silico models of thrombosis are attractive tools to understand the mechanics of these processes, though the simulation of thromboembolism remains underdeveloped. The purpose of this study is to modify an existing computational thrombosis model to allow for thromboembolism and to investigate the behavior of the modified model at a range of flow rates. The new and existing models are observed to lead to similar predictions of thrombosis in a canonical backward-facing step geometry across flow rates, and neither model predicts thrombosis in a turbulent flow. Simulations are performed by increasing flow rates in the case of a clot formed at lower flow to induce embolization. While embolization is observed, most of the clot breakdown is by shear rather than by breakup and subsequent transport of clotted material, and further work is required in the formulation and validation of embolization. This model provides a framework to further investigate thromboembolization.
© 2022 John Wiley & Sons Ltd.

Entities:  

Keywords:  thromboembolism; thrombosis; turbulent; viscoelastic

Mesh:

Year:  2022        PMID: 36220632      PMCID: PMC9556977          DOI: 10.1002/cnm.3638

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.648


  34 in total

1.  Functional analysis of fibrin {gamma}-chain cross-linking by activated factor XIII: determination of a cross-linking pattern that maximizes clot stiffness.

Authors:  Kristina F Standeven; Angela M Carter; Peter J Grant; John W Weisel; Irina Chernysh; Leona Masova; Susan T Lord; Robert A S Ariëns
Journal:  Blood       Date:  2007-04-13       Impact factor: 22.113

2.  Development of a computational model for macroscopic predictions of device-induced thrombosis.

Authors:  Joshua O Taylor; Richard S Meyer; Steven Deutsch; Keefe B Manning
Journal:  Biomech Model Mechanobiol       Date:  2016-05-12

3.  A mathematical model to quantify the effects of platelet count, shear rate, and injury size on the initiation of blood coagulation under venous flow conditions.

Authors:  Anass Bouchnita; Kirill Terekhov; Patrice Nony; Yuri Vassilevski; Vitaly Volpert
Journal:  PLoS One       Date:  2020-07-29       Impact factor: 3.240

4.  Mechanism of platelet adhesion to von Willebrand factor and microparticle formation under high shear stress.

Authors:  Armin J Reininger; Harry F G Heijnen; Hannah Schumann; Hanno M Specht; Wolfgang Schramm; Zaverio M Ruggeri
Journal:  Blood       Date:  2006-01-31       Impact factor: 22.113

5.  Platelet active concentration profiles near growing thrombi. A mathematical consideration.

Authors:  J A Hubbell; L V McIntire
Journal:  Biophys J       Date:  1986-11       Impact factor: 4.033

6.  Proximal pulmonary arterial obstruction decreases the time constant of the pulmonary circulation and increases right ventricular afterload.

Authors:  Alberto Pagnamenta; Rebecca Vanderpool; Serge Brimioulle; Robert Naeije
Journal:  J Appl Physiol (1985)       Date:  2013-03-28

7.  Thrombolysis as first-line therapy for Medtronic/HeartWare HVAD left ventricular assist device thrombosis.

Authors:  Kamen Dimitrov; Julian Maier; Sigrid Sandner; Julia Riebandt; Dominik Wiedemann; Roxana Moayedifar; Thomas Schlöglhofer; Philipp Angleitner; Jan Niederdöckl; Heinrich Schima; Edda Tschernko; Guenther Laufer; Daniel Zimpfer
Journal:  Eur J Cardiothorac Surg       Date:  2020-12-01       Impact factor: 4.191

8.  Rheological aspects of thrombosis and haemostasis: basic principles and applications. ICTH-Report--Subcommittee on Rheology of the International Committee on Thrombosis and Haemostasis.

Authors:  H L Goldsmith; V T Turitto
Journal:  Thromb Haemost       Date:  1986-06-30       Impact factor: 5.249

9.  Refining a numerical model for device-induced thrombosis and investigating the effects of non-Newtonian blood models.

Authors:  Ling Yang; Nicolas Tobin; Keefe B Manning
Journal:  J Biomech       Date:  2021-03-23       Impact factor: 2.712

10.  In vitro real-time magnetic resonance imaging for quantification of thrombosis.

Authors:  Ling Yang; Thomas Neuberger; Keefe B Manning
Journal:  MAGMA       Date:  2020-07-29       Impact factor: 2.310

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