Literature DB >> 27016582

A coupled chemo-fluidic computational model for thrombogenesis in infarcted left ventricles.

Jung Hee Seo1, Thura Abd2, Richard T George2, Rajat Mittal3.   

Abstract

A coupled chemo-fluidic computational model for investigating flow-mediated thrombogenesis in infarcted left ventricles (LVs) is proposed. LV thrombus (LVT) formation after the acute myocardial infarction (AMI) may lead to thromboembolic events that are associated with high mortality and morbidity, and reliable stratification of LVT risk is the key to managing the treatment of AMI patients. There have been several studies emphasizing the importance of LV blood flow patterns on thrombus formation; however, given the complex interplay between ventricular flow dynamics and biochemistry of thrombogenesis, current understanding is mostly empirical. In the present model, blood flow in the LV is obtained by solving the incompressible Navier-Stokes equations, and this is coupled to the biochemical modeling of the coagulation cascade, platelet activation, and fibrinogen polymerization. The coupled model is used to examine the effect of ventricular flow patterns on thrombogenesis in modeled ventricles. It is expected that the method developed here will enable in-depth studies of thrombogenesis in patient-derived infarcted LV models.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  biochemical reaction; blood clot; cardiac flow; coagulation cascade; computational hemodynamics; intraventricular flow

Mesh:

Substances:

Year:  2016        PMID: 27016582     DOI: 10.1152/ajpheart.00855.2015

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  6 in total

1.  Flow Dynamics in the Aortic Arch and Its Effect on the Arterial Input Function in Cardiac Computed Tomography.

Authors:  Parastou Eslami; Jung-Hee Seo; Albert C Lardo; Marcus Y Chen; Rajat Mittal
Journal:  J Biomech Eng       Date:  2019-03-06       Impact factor: 2.097

2.  A method to quantify mechanobiologic forces during zebrafish cardiac development using 4-D light sheet imaging and computational modeling.

Authors:  Vijay Vedula; Juhyun Lee; Hao Xu; C-C Jay Kuo; Tzung K Hsiai; Alison L Marsden
Journal:  PLoS Comput Biol       Date:  2017-10-30       Impact factor: 4.475

3.  A Highly Automated Computational Method for Modeling of Intracranial Aneurysm Hemodynamics.

Authors:  Jung-Hee Seo; Parastou Eslami; Justin Caplan; Rafael J Tamargo; Rajat Mittal
Journal:  Front Physiol       Date:  2018-06-12       Impact factor: 4.566

4.  Demonstration of Patient-Specific Simulations to Assess Left Atrial Appendage Thrombogenesis Risk.

Authors:  Manuel García-Villalba; Lorenzo Rossini; Alejandro Gonzalo; Davis Vigneault; Pablo Martinez-Legazpi; Eduardo Durán; Oscar Flores; Javier Bermejo; Elliot McVeigh; Andrew M Kahn; Juan C Del Álamo
Journal:  Front Physiol       Date:  2021-02-26       Impact factor: 4.755

5.  Computational Modeling of Drug Dissolution in the Human Stomach.

Authors:  Jung Hee Seo; Rajat Mittal
Journal:  Front Physiol       Date:  2022-01-10       Impact factor: 4.566

6.  Analysis of mitral valve regurgitation by computational fluid dynamics.

Authors:  Dario Collia; Luigino Zovatto; Gianni Pedrizzetti
Journal:  APL Bioeng       Date:  2019-08-23
  6 in total

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