Vijayaratnam Pujith R S, O'Brien Caroline C, Reizes John A, Barber Tracie J, Edelman Elazer R
School of Mechanical and Manufacturing Engineering, the University of New South Wales, Sydney, New South Wales, Australia.
Harvard-MIT Biomedical Engineering Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
PLoS One. 2015 Jun 12;10(6):e0128178. doi: 10.1371/journal.pone.0128178. eCollection 2015.
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.
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.
CONCLUSIONS/SIGNIFICANCE: 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.
在对带有药物洗脱支架的动脉进行数值研究时,确保血流得到准确建模非常重要,因为从支架到动脉壁的药物传输中有很大一部分是由血流介导的。然而,对血液进行建模很复杂,原因包括个体之间血液流变行为的差异、血液复杂的近壁行为以及已提出的大量流变模型。在本研究中,进行了一系列稳态计算流体动力学分析,将传统的牛顿模型与一系列非牛顿模型进行了比较。通过比较不同血流速度下的血流动力学细节和药物传输行为,阐明了这些流变模型的影响。
发现纳入非牛顿流变模型后,再循环长度最多可减少24%。还采用了另一个具有血浆粘度和密度的模型来考虑近壁红细胞损失,结果再循环长度增加了高达59%。然而,除了一种情况外,在所有情况下,观察到牛顿模型获得的组织中平均药物浓度偏差均小于5%。尽管对粘度变化的影响敏感性较小,但发现组织中药物物质的空间分布受流变模型选择的显著影响。
结论/意义:这些结果可用于指导未来数值研究中血液流变模型的选择。这些结果的临床意义在于,它们表明基于支架的药物递送中药物摄取量对个体血液流变学变化相对不敏感。此外,支架支柱下游形成的流动分离区域会减少药物摄取这一发现可能会引起设备设计者的兴趣。