The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.

<h4>Background and methods</h4>It is important to ensure that blood flow is modelled accurately in numerical studies of arteries featuring drug-eluting stents due to the significant proportion of drug transport from the stent into the arterial wall which is flow-mediated. Modelling blood...

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Main Authors: Pujith R S Vijayaratnam, Caroline C O'Brien, John A Reizes, Tracie J Barber, Elazer R Edelman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0128178
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author Pujith R S Vijayaratnam
Caroline C O'Brien
John A Reizes
Tracie J Barber
Elazer R Edelman
author_facet Pujith R S Vijayaratnam
Caroline C O'Brien
John A Reizes
Tracie J Barber
Elazer R Edelman
author_sort Pujith R S Vijayaratnam
collection DOAJ
description <h4>Background and methods</h4>It is important to ensure that blood flow is modelled accurately in numerical studies of arteries featuring drug-eluting stents due to the significant proportion of drug transport from the stent into the arterial wall which is flow-mediated. Modelling blood is complicated, however, by variations in blood rheological behaviour between individuals, blood's complex near-wall behaviour, and the large number of rheological models which have been proposed. In this study, a series of steady-state computational fluid dynamics analyses were performed in which the traditional Newtonian model was compared against a range of non-Newtonian models. The impact of these rheological models was elucidated through comparisons of haemodynamic flow details and drug transport behaviour at various blood flow rates.<h4>Results</h4>Recirculation lengths were found to reduce by as much as 24% with the inclusion of a non-Newtonian rheological model. Another model possessing the viscosity and density of blood plasma was also implemented to account for near-wall red blood cell losses and yielded recirculation length increases of up to 59%. However, the deviation from the average drug concentration in the tissue obtained with the Newtonian model was observed to be less than 5% in all cases except one. Despite the small sensitivity to the effects of viscosity variations, the spatial distribution of drug matter in the tissue was found to be significantly affected by rheological model selection.<h4>Conclusions/significance</h4>These results may be used to guide blood rheological model selection in future numerical studies. The clinical significance of these results is that they convey that the magnitude of drug uptake in stent-based drug delivery is relatively insensitive to individual variations in blood rheology. Furthermore, the finding that flow separation regions formed downstream of the stent struts diminish drug uptake may be of interest to device designers.
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spelling doaj.art-a86e4f491b4e4634b248c77ac68a8e332022-12-21T23:10:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01106e012817810.1371/journal.pone.0128178The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.Pujith R S VijayaratnamCaroline C O'BrienJohn A ReizesTracie J BarberElazer R Edelman<h4>Background and methods</h4>It is important to ensure that blood flow is modelled accurately in numerical studies of arteries featuring drug-eluting stents due to the significant proportion of drug transport from the stent into the arterial wall which is flow-mediated. Modelling blood is complicated, however, by variations in blood rheological behaviour between individuals, blood's complex near-wall behaviour, and the large number of rheological models which have been proposed. In this study, a series of steady-state computational fluid dynamics analyses were performed in which the traditional Newtonian model was compared against a range of non-Newtonian models. The impact of these rheological models was elucidated through comparisons of haemodynamic flow details and drug transport behaviour at various blood flow rates.<h4>Results</h4>Recirculation lengths were found to reduce by as much as 24% with the inclusion of a non-Newtonian rheological model. Another model possessing the viscosity and density of blood plasma was also implemented to account for near-wall red blood cell losses and yielded recirculation length increases of up to 59%. However, the deviation from the average drug concentration in the tissue obtained with the Newtonian model was observed to be less than 5% in all cases except one. Despite the small sensitivity to the effects of viscosity variations, the spatial distribution of drug matter in the tissue was found to be significantly affected by rheological model selection.<h4>Conclusions/significance</h4>These results may be used to guide blood rheological model selection in future numerical studies. The clinical significance of these results is that they convey that the magnitude of drug uptake in stent-based drug delivery is relatively insensitive to individual variations in blood rheology. Furthermore, the finding that flow separation regions formed downstream of the stent struts diminish drug uptake may be of interest to device designers.https://doi.org/10.1371/journal.pone.0128178
spellingShingle Pujith R S Vijayaratnam
Caroline C O'Brien
John A Reizes
Tracie J Barber
Elazer R Edelman
The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.
PLoS ONE
title The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.
title_full The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.
title_fullStr The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.
title_full_unstemmed The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.
title_short The Impact of Blood Rheology on Drug Transport in Stented Arteries: Steady Simulations.
title_sort impact of blood rheology on drug transport in stented arteries steady simulations
url https://doi.org/10.1371/journal.pone.0128178
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