Acausal Modelling of Advanced-Stage Heart Failure and the Istanbul Heart Ventricular Assist Device Support with Patient Data.

IF 1.6 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Khunsha Mehmood, Ismail Lazoglu, Deniz Süha Küçükaksu
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引用次数: 0

Abstract

Background: In object-oriented or acausal modelling, components of the model can be connected topologically, following the inherent structure of the physical system, and system equations can be formulated automatically. This technique allows individuals without a mathematics background to develop knowledge-based models and facilitates collaboration in multidisciplinary fields like biomedical engineering. This study conducts a preclinical evaluation of a ventricular assist device (VAD) in assisting advanced-stage heart failure patients in an acausal modelling environment.

Methods: A comprehensive object-oriented model of the cardiovascular system with a VAD is developed in MATLAB/SIMSCAPE, and its hemodynamic behaviour is studied. An analytically derived pump model is calibrated for the experimental prototype of the Istanbul Heart VAD. Hemodynamics are produced under healthy, diseased, and assisted conditions. The study features a comprehensive collection of advanced-stage heart failure patients' data from the literature to identify parameters for disease modelling and to validate the resulting hemodynamics.

Results: Regurgitation, suction, and optimal speeds are identified, and trends in different hemodynamic parameters are observed for the simulated pathophysiological conditions. Using pertinent parameters in disease modelling allows for more accurate results compared to the traditional approach of arbitrary reduction in left ventricular contractility to model dilated cardiomyopathy.

Conclusion: The current research provides a comprehensive and validated framework for the preclinical evaluation of cardiac assist devices. Due to its object-oriented nature, the featured model is readily modifiable for other cardiovascular diseases for studying the effect of pump operating conditions on hemodynamics and vice versa in silico and hybrid mock circulatory loops. The work also provides a potential teaching tool for understanding the pathophysiology of heart failure, diagnosis rationale, and degree of assist requirements.

Abstract Image

晚期心力衰竭的配偶建模和伊斯坦布尔心脏心室辅助设备对患者数据的支持。
背景:在面向对象或辅助建模中,模型的组成部分可以按照物理系统的固有结构进行拓扑连接,系统方程可以自动公式化。这项技术允许没有数学背景的个人开发基于知识的模型,并促进生物医学工程等多学科领域的合作。本研究对心室辅助装置(VAD)在无配偶建模环境中辅助晚期心力衰竭患者进行了临床前评估。方法:在MATLAB/SIMSCAPE中建立了VAD心血管系统的面向对象综合模型,并对其血液动力学行为进行了研究。为伊斯坦布尔心脏VAD的实验原型校准了分析推导的泵模型。血液动力学是在健康、患病和辅助条件下产生的。该研究全面收集了文献中晚期心力衰竭患者的数据,以确定疾病建模的参数并验证由此产生的血液动力学。结果:确定了反流、抽吸和最佳速度,并观察了模拟病理生理条件下不同血液动力学参数的趋势。与任意降低左心室收缩力来模拟扩张型心肌病的传统方法相比,在疾病建模中使用相关参数可以获得更准确的结果。结论:目前的研究为心脏辅助装置的临床前评估提供了一个全面且有效的框架。由于其面向对象的性质,该特征模型对于其他心血管疾病很容易修改,用于研究泵操作条件对血液动力学的影响,反之亦然,在计算机和混合模拟循环回路中。这项工作还为理解心力衰竭的病理生理学、诊断原理和辅助程度要求提供了一个潜在的教学工具。
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来源期刊
Cardiovascular Engineering and Technology
Cardiovascular Engineering and Technology Engineering-Biomedical Engineering
CiteScore
4.00
自引率
0.00%
发文量
51
期刊介绍: Cardiovascular Engineering and Technology is a journal publishing the spectrum of basic to translational research in all aspects of cardiovascular physiology and medical treatment. It is the forum for academic and industrial investigators to disseminate research that utilizes engineering principles and methods to advance fundamental knowledge and technological solutions related to the cardiovascular system. Manuscripts spanning from subcellular to systems level topics are invited, including but not limited to implantable medical devices, hemodynamics and tissue biomechanics, functional imaging, surgical devices, electrophysiology, tissue engineering and regenerative medicine, diagnostic instruments, transport and delivery of biologics, and sensors. In addition to manuscripts describing the original publication of research, manuscripts reviewing developments in these topics or their state-of-art are also invited.
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