Increased VA-ECMO Pump Speed Reduces Left Atrial Pressure: Insights from a Novel Biventricular Heart Model.

IF 3.8 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Anirudhan Kasavaraj, Christian Said, Laurence Antony Boss, Gabriel Matus Vazquez, Michael Stevens, Jacky Jiang, Audrey Adji, Christopher Hayward, Pankaj Jain
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引用次数: 0

Abstract

Background and aims: The effect of veno-arterial extracorporeal membrane oxygenation (VA-ECMO) on left atrial pressure (LAP) in the presence of interventricular interaction and the Frank-Starling mechanism is unknown. We developed and validated a mock circulatory loop (MCL) incorporating a novel, 3D-printed biventricular heart model and Frank-Starling algorithm, and used this model to assess the determinants of LAP during VA-ECMO support.

Methods: The MCL was designed to allow a separate ventricle or biventricular configuration, with or without an active Frank-Starling mechanism. The biventricular model with Frank-Starling mechanism was validated in terms of (1) the presence and degree of ventricular interactions; (2) its ability to simulate Frank-Starling physiology; and (3) its capacity to simulate normal and pathological cardiac states. In the separate ventricle and biventricular with Frank-Starling models, we assessed the effect on LAP of changes in mean aortic pressure (mAoP), ECMO pump speed, LV contractility and ECMO return flow direction.

Results: In the biventricular configuration, clamping RA inflow decreased RAP, with a concurrent decrease in LAP, consistent with direct ventricular interaction. With a programmed Frank-Starling mechanism, decreasing RAP was associated with a significant reduction in both LV outflow and LV end-systolic pressure. In the biventricular model with a Frank-Starling algorithm, the MCL was able to reproduce pre-defined normal and pathological cardiac output, and arterial and ventricular pressures. Increasing aortic pressure caused a linear increase in LAP in the separate ventricle model, which was attenuated in the biventricular model with Frank-Starling mechanism. Increasing ECMO pump speed caused no change in LAP in the separate ventricle model (p = 0.75), but significantly decreased LAP in the biventricular model with Frank-Starling mechanism (p = 0.039), with stabilization of LAP at the highest pump speeds. Changing the direction of VA-ECMO return flow did not affect LAP in either the separate ventricle (p = 0.91) or biventricular model with Frank-Starling mechanism (p = 0.76).

Conclusions: Interventricular interactions and the Frank-Starling mechanism can be simulated in a physical, biventricular MCL. In their presence, the effects of VA-ECMO on LAP are mitigated, with LAP reduction and stabilization at maximal VA-ECMO speeds.

背景和目的:静脉-动脉体外膜肺氧合(VA-ECMO)在存在室间相互作用和弗兰克-斯塔林机制的情况下对左心房压力(LAP)的影响尚不清楚。我们开发并验证了一种模拟循环回路(MCL),其中包含一种新型 3D 打印双心室心脏模型和 Frank-Starling 算法,并利用该模型评估了 VA-ECMO 支持期间 LAP 的决定因素:MCL 的设计允许单独的心室或双心室配置,有无主动式 Frank-Starling 机制均可。带有弗兰克-斯塔林机制的双心室模型在以下方面进行了验证:(1) 心室相互作用的存在和程度;(2) 模拟弗兰克-斯塔林生理学的能力;(3) 模拟正常和病理心脏状态的能力。在单心室和双心室与 Frank-Starling 模型中,我们评估了平均主动脉压 (mAoP)、ECMO 泵速度、左心室收缩力和 ECMO 回流方向的变化对 LAP 的影响:结果:在双心室配置中,夹紧 RA 流入量可降低 RAP,同时降低 LAP,这与心室的直接相互作用一致。在程序化 Frank-Starling 机制下,RAP 的降低与左心室流出压和左心室收缩末压的显著降低有关。在采用弗兰克-斯塔林算法的双心室模型中,MCL 能够再现预定义的正常和病理心输出量以及动脉压和心室压。在单心室模型中,增加主动脉压会导致 LAP 线性增加,而在采用 Frank-Starling 机制的双心室模型中,这种增加有所减弱。提高 ECMO 泵速不会导致独立心室模型中的 LAP 发生变化(p = 0.75),但会显著降低具有 Frank-Starling 机制的双心室模型中的 LAP(p = 0.039),在最高泵速下 LAP 趋于稳定。改变VA-ECMO回流方向不会影响独立心室(p = 0.91)或具有弗兰克-斯塔林机制的双心室模型(p = 0.76)的LAP:结论:心室间相互作用和弗兰克-斯塔林机制可在物理双心室 MCL 中模拟。在它们存在的情况下,VA-ECMO 对 LAP 的影响会减轻,在最大 VA-ECMO 速度下,LAP 会降低并趋于稳定。
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来源期刊
Bioengineering
Bioengineering Chemical Engineering-Bioengineering
CiteScore
4.00
自引率
8.70%
发文量
661
期刊介绍: Aims Bioengineering (ISSN 2306-5354) provides an advanced forum for the science and technology of bioengineering. It publishes original research papers, comprehensive reviews, communications and case reports. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. All aspects of bioengineering are welcomed from theoretical concepts to education and applications. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, four key features of this Journal: ● We are introducing a new concept in scientific and technical publications “The Translational Case Report in Bioengineering”. It is a descriptive explanatory analysis of a transformative or translational event. Understanding that the goal of bioengineering scholarship is to advance towards a transformative or clinical solution to an identified transformative/clinical need, the translational case report is used to explore causation in order to find underlying principles that may guide other similar transformative/translational undertakings. ● Manuscripts regarding research proposals and research ideas will be particularly welcomed. ● Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. ● We also accept manuscripts communicating to a broader audience with regard to research projects financed with public funds. Scope ● Bionics and biological cybernetics: implantology; bio–abio interfaces ● Bioelectronics: wearable electronics; implantable electronics; “more than Moore” electronics; bioelectronics devices ● Bioprocess and biosystems engineering and applications: bioprocess design; biocatalysis; bioseparation and bioreactors; bioinformatics; bioenergy; etc. ● Biomolecular, cellular and tissue engineering and applications: tissue engineering; chromosome engineering; embryo engineering; cellular, molecular and synthetic biology; metabolic engineering; bio-nanotechnology; micro/nano technologies; genetic engineering; transgenic technology ● Biomedical engineering and applications: biomechatronics; biomedical electronics; biomechanics; biomaterials; biomimetics; biomedical diagnostics; biomedical therapy; biomedical devices; sensors and circuits; biomedical imaging and medical information systems; implants and regenerative medicine; neurotechnology; clinical engineering; rehabilitation engineering ● Biochemical engineering and applications: metabolic pathway engineering; modeling and simulation ● Translational bioengineering
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