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A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients

Recent researches on COVID 19 has been extended to analyze the various morphological and anatomical changes in a patient's body due to the invasion of the virus. These latest studies have concluded that there happens a high rise in the viscosity of the blood in a COVID 19 patient, supported by...

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Autores principales: S, Shankar Narayan, Saha, Sunanda, Bhattacharjee, Anuradha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382661/
https://www.ncbi.nlm.nih.gov/pubmed/35317220
http://dx.doi.org/10.1016/j.rineng.2021.100275
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author S, Shankar Narayan
Saha, Sunanda
Bhattacharjee, Anuradha
author_facet S, Shankar Narayan
Saha, Sunanda
Bhattacharjee, Anuradha
author_sort S, Shankar Narayan
collection PubMed
description Recent researches on COVID 19 has been extended to analyze the various morphological and anatomical changes in a patient's body due to the invasion of the virus. These latest studies have concluded that there happens a high rise in the viscosity of the blood in a COVID 19 patient, supported by the extensive analysis of the clinical data. In the present paper, a mathematical model in the form of a differential equation system has been proposed to disclose the various changes that occur in the flow across the stenosis of an arterial segment. The consequences of the hyperviscosity of blood on the blood flow characteristics in a stenosed artery are analyzed by solving the model using a finite element method (FEM) solver. A laminar flow coupled with solid mechanics through the Fluid-Structure Interaction (FSI) interface has been studied using an Arbitrary Lagrangian-Eulerian (ALE) method. For the first time, the mathematical model was used to analyze the hyper-viscous flow condition in COVID 19 patients. The present research is mainly based on the numerous clinical reports enlisting the various morphological, hematological, and rheological changes in the blood.
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spelling pubmed-83826612021-08-24 A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients S, Shankar Narayan Saha, Sunanda Bhattacharjee, Anuradha Results in Engineering Article Recent researches on COVID 19 has been extended to analyze the various morphological and anatomical changes in a patient's body due to the invasion of the virus. These latest studies have concluded that there happens a high rise in the viscosity of the blood in a COVID 19 patient, supported by the extensive analysis of the clinical data. In the present paper, a mathematical model in the form of a differential equation system has been proposed to disclose the various changes that occur in the flow across the stenosis of an arterial segment. The consequences of the hyperviscosity of blood on the blood flow characteristics in a stenosed artery are analyzed by solving the model using a finite element method (FEM) solver. A laminar flow coupled with solid mechanics through the Fluid-Structure Interaction (FSI) interface has been studied using an Arbitrary Lagrangian-Eulerian (ALE) method. For the first time, the mathematical model was used to analyze the hyper-viscous flow condition in COVID 19 patients. The present research is mainly based on the numerous clinical reports enlisting the various morphological, hematological, and rheological changes in the blood. The Authors. Published by Elsevier B.V. 2021-12 2021-08-24 /pmc/articles/PMC8382661/ /pubmed/35317220 http://dx.doi.org/10.1016/j.rineng.2021.100275 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
S, Shankar Narayan
Saha, Sunanda
Bhattacharjee, Anuradha
A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients
title A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients
title_full A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients
title_fullStr A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients
title_full_unstemmed A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients
title_short A 2D FSI mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic COVID patients
title_sort 2d fsi mathematical model of blood flow to analyze the hyper-viscous effects in atherosclerotic covid patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382661/
https://www.ncbi.nlm.nih.gov/pubmed/35317220
http://dx.doi.org/10.1016/j.rineng.2021.100275
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