Computational fluid dynamic study of multiple sequential coronary artery bypass anastomoses in a native coronary stenosis model.
Computational fluid dynamic study of multiple sequential coronary artery bypass anastomoses in a native coronary stenosis model.
复制标题
自然冠状动脉狭窄模型中多个连续冠状动脉旁路吻合的计算流体动力学研究。
DOI:
10.1097/mca.0000000000000864
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Matsumiya G.
中科院分区:
文献类型:
--
作者:
Matsuura K;Jin WW;Liu H;Matsumiya G.
BackgroundThe objective of this study was to evaluate the hemodynamic characteristics of multiple sequential coronary artery bypass grafting using a computational fluid dynamics study.MethodsFirst anastomosis was configured into parallel and diamond anastomoses, and the second anastomosis was set as end-side anastomosis. The anastomosis incision lengths were fixed at 2 mm. Various combinations of the degree of first and second stenoses were studied. The diameter of both the native and graft vessels was set at 2 mm. The inlet boundary condition was set by a sample of the transient time flow measurement, which was measured intraoperatively.ResultsBoth swirl and stagnation were observed at the outlets of the stenosis and the anastomosis sites. When the severity of the second stenosis was larger than that of the first, the flow at the outlet of the second stenosis was more unstable. Higher wall shear stress and larger oscillatory shear index regions were observed when the severe stenosis was bypassed by the first anastomosis, especially with diamond anastomoses. Less energy loss and higher energy efficiency were present when the vessel with more severe stenosis was bypassed as the second anastomosis. Energy loss was lower and energy efficiency was higher with parallel anastomosis than diamond anastomosis when the severity of the two stenoses was the same.ConclusionsIt is ideal to bypass the less severe stenosis vessel first with a parallel anastomosis method when employing multiple sequential bypass grafting. This improves hemodynamic stability and energy efficiency, according to a computational fluid dynamics model.