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一种用于在外周体外膜肺氧合期间调整血流以减少差异性低氧血症的计算框架。

A computational framework for adjusting flow during peripheral extracorporeal membrane oxygenation to reduce differential hypoxia.

作者信息

Stevens Michael Charles, Callaghan Fraser M, Forrest Paul, Bannon Paul G, Grieve Stuart M

机构信息

Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia; Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia; Sydney Medical School, University of Sydney, Camperdown, Australia.

Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia; Sydney Medical School, University of Sydney, Camperdown, Australia.

出版信息

J Biomech. 2018 Oct 5;79:39-44. doi: 10.1016/j.jbiomech.2018.07.037. Epub 2018 Jul 31.

Abstract

Peripheral veno-arterial extra corporeal membrane oxygenation (VA-ECMO) is an established technique for short-to-medium support of patients with severe cardiac failure. However, in patients with concomitant respiratory failure, the residual native circulation will provide deoxygenated blood to the upper body, and may cause differential hypoxemia of the heart and brain. In this paper, we present a general computational framework for the identification of differential hypoxemia risk in VA-ECMO patients. A range of different VA-ECMO patient scenarios for a patient-specific geometry and vascular resistance were simulated using transient computational fluid dynamics simulations, representing a clinically relevant range of values of stroke volume and ECMO flow. For this patient, regardless of ECMO flow rate, left ventricular stroke volumes greater than 28 mL resulted in all aortic arch branch vessels being perfused by poorly-oxygenated systemic blood sourced from the lungs. The brachiocephalic artery perfusion was almost entirely derived from blood from the left ventricle in all scenarios except for those with stroke volumes less than 5 mL. Our model therefore predicted a strong risk of differential hypoxemia in nearly all situations with some residual cardiac function for this combination of patient geometry and vascular resistance. This simulation highlights the potential value of modelling for optimising ECMO design and procedures, and for the practical utility for personalised approaches in the clinical use of ECMO.

摘要

外周静脉-动脉体外膜肺氧合(VA-ECMO)是一种用于中短期支持严重心力衰竭患者的成熟技术。然而,对于合并呼吸衰竭的患者,残余的自身循环会将脱氧血液输送到上半身,并可能导致心脏和大脑的差异性低氧血症。在本文中,我们提出了一个用于识别VA-ECMO患者差异性低氧血症风险的通用计算框架。使用瞬态计算流体动力学模拟,针对特定患者的几何形状和血管阻力,模拟了一系列不同的VA-ECMO患者情况,代表了临床上相关的每搏输出量和ECMO流量值范围。对于该患者,无论ECMO流速如何,左心室每搏输出量大于28毫升都会导致所有主动脉弓分支血管被来自肺部的低氧全身血液灌注。除了每搏输出量小于5毫升的情况外,在所有情况下,头臂动脉灌注几乎完全来自左心室的血液。因此,我们的模型预测,对于这种患者几何形状和血管阻力的组合,在几乎所有存在一定残余心功能的情况下,都有很高的差异性低氧血症风险。该模拟突出了建模对于优化ECMO设计和操作的潜在价值,以及在ECMO临床应用中个性化方法的实际效用。

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