Advanced Modelling Platform with Moving Ventricular Walls for Increasing Speed to Market of Heart Pumps

具有移动心室壁的先进建模平台可加快心脏泵的上市速度

• 批准号: 10071797
• 金额: $ 30.87万
• 依托单位: CALON CARDIO-TECHNOLOGY LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10071797
• 关键词: Advanced; Modelling; Platform; Moving; Ventricular

Left Ventricular Assist Devices (LVADs) are vital medical devices in aiding patients with advanced Heart Failure (HF). Bringing innovative heart pumps to market is a lengthy process, typically taking \>10 years. Development times are extended due to the complexity of the real-world cardiovascular system (CS), in which the pump operates, and limitations in current analytical tools for determining pump performance prior to _in vivo_ testing. This project will remove these limitations with an innovative coupled LVAD and CS model, capturing the Moving Ventricular Wall (MVW) of the Left Ventricle (LV) and valve openings.Understanding how an LVAD works across the range of physiological pulsatile flow conditions expected for _in vivo_ animal tests and patients with Severe Heart Failure (SHF) or in recovery, is critical to the successful launch of an LVAD.Often animal models are significantly different physiologically from SHF patients and manufacturers use other techniques such as Computational Fluid Dynamics (CFD) and Mock Loops (MLs) to provide confidence to take a VAD to human trials. Understanding physiology allows complex algorithms to be implemented within the device controller to tailor treatments and warn clinicians of potential Adverse Events (AEs).Calon, through partnerships, has created a robust CFD modelling capability for LVADs and Calon has developed a zero-dimensional (0D) mathematical CS model, incorporating the LVAD. This allows Calon to simulate flows through the pump and analyse shear stress, residence time and blood damage in pulsatile conditions. We have shown, with simplistic models, the need to include MVWs, which perturbs the fluid as it enters the pump inlet.Calon will develop a 3D coupled CFD model of the LV with MVWs and the pump in situ. The 0D model will define the flow in and out of the valves, which will form the boundary conditions for the CFD model. The movement of the heart will be derived from cardiac imaging. The 0D model will befurther developed with data from patient populations, allowing Calon to better understand the performance of the pump in realistic rheology and physiology, which will ultimately improve the safety of the LVAD. Furthermore, Calon will conduct a review of the data generated and the available literature to explore algorithms used to improve patient outcomes and aid clinicians.

左心室辅助装置 (LVAD) 是帮助晚期心力衰竭 (HF) 患者的重要医疗设备。将创新型心脏泵推向市场是一个漫长的过程，通常需要 10 年以上的时间。由于泵在其中运行的现实心血管系统（CS）的复杂性以及当前用于在体内测试之前确定泵性能的分析工具的局限性，开发时间被延长。该项目将通过创新的 LVAD 和 CS 耦合模型消除这些限制，捕获左心室 (LV) 的移动心室壁 (MVW) 和瓣膜开口。了解 LVAD 如何在预期的生理脉动流条件范围内工作vivo_ 动物试验和严重心力衰竭 (SHF) 或正在康复的患者对于 LVAD 的成功推出至关重要。动物模型通常与 SHF 患者和制造商使用的生理学有显着差异其他技术，例如计算流体动力学 (CFD) 和模拟循环 (ML)，可以为将 VAD 进行人体试验提供信心。了解生理学允许在设备控制器内实施复杂的算法，以定制治疗方案并警告临床医生潜在的不良事件 (AE)。Calon 通过合作伙伴关系，为 LVAD 创建了强大的 CFD 建模功能，并且 Calon 开发了零维 (0D) ) 数学CS模型，结合了LVAD。这使得凯隆能够模拟通过泵的流量并分析脉动条件下的剪切应力、停留时间和血液损伤。我们已经通过简单的模型证明了包含 MVW 的必要性，MVW 在流体进入泵入口时会扰动流体。Calon 将开发带有 MVW 和现场泵的 LV 的 3D 耦合 CFD 模型。 0D 模型将定义进出阀门的流量，这将形成 CFD 模型的边界条件。心脏的运动将来自心脏成像。 0D 模型将根据患者群体的数据进一步开发，使凯隆能够更好地了解泵在现实流变学和生理学方面的性能，这最终将提高 LVAD 的安全性。此外，凯隆将对生成的数据和现有文献进行审查，以探索用于改善患者治疗结果和帮助临床医生的算法。