Corina Cheng Ai Ding, Socrates Dokos, Azam Ahmad Bakir, Nurul Jannah Zamberi, Yih Miin Liew, Bee Ting Chan, Nor Ashikin Md Sari, Alberto Avolio, Einly Lim
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引用次数: 0
摘要
在老年人中,主动脉瓣狭窄、高血压和左心室肥厚常常同时存在,导致心脏和血管之间的耦合出现有害的不匹配,这种不匹配被称为心室-血管(VA)耦合。左心室-血管耦合受损是衰老和疾病中心血管功能障碍的一个重要方面,对优化心血管性能构成重大挑战。本系统综述旨在评估通过计算模型模拟和研究这种耦合的影响。通过对截至 2022 年 7 月 14 日从 Web of Science、Scopus 和 PubMed 等著名数据库中获取的 34 篇相关文章进行全面分析,我们探讨了各种建模技术和模拟方法,以揭示这种损伤的复杂机制。我们的综述强调了计算模型在提供临床观察之外的详细见解方面所起的重要作用,从而加深了对心血管系统的理解。通过阐明现有的心脏(3D、2D 和 0D)、心脏瓣膜和血管(3D、1D 和 0D)模型,以及讨论机械边界条件、模型参数化和验证、耦合方法、计算机资源和各种应用,我们建立了该领域的全面概述。我们对心脏、瓣膜和血液循环中不同维度的选择进行了说明和利弊分析。最重要的是,我们强调了在病理条件下评估心脏与血管相互作用的重要性,并提出了未来的研究方向,如开发完全耦合的个性化多维模型、整合深度学习技术以及全面评估对生物标志物的混杂影响。
Simulating impaired left ventricular-arterial coupling in aging and disease: a systematic review.
Aortic stenosis, hypertension, and left ventricular hypertrophy often coexist in the elderly, causing a detrimental mismatch in coupling between the heart and vasculature known as ventricular-vascular (VA) coupling. Impaired left VA coupling, a critical aspect of cardiovascular dysfunction in aging and disease, poses significant challenges for optimal cardiovascular performance. This systematic review aims to assess the impact of simulating and studying this coupling through computational models. By conducting a comprehensive analysis of 34 relevant articles obtained from esteemed databases such as Web of Science, Scopus, and PubMed until July 14, 2022, we explore various modeling techniques and simulation approaches employed to unravel the complex mechanisms underlying this impairment. Our review highlights the essential role of computational models in providing detailed insights beyond clinical observations, enabling a deeper understanding of the cardiovascular system. By elucidating the existing models of the heart (3D, 2D, and 0D), cardiac valves, and blood vessels (3D, 1D, and 0D), as well as discussing mechanical boundary conditions, model parameterization and validation, coupling approaches, computer resources and diverse applications, we establish a comprehensive overview of the field. The descriptions as well as the pros and cons on the choices of different dimensionality in heart, valve, and circulation are provided. Crucially, we emphasize the significance of evaluating heart-vessel interaction in pathological conditions and propose future research directions, such as the development of fully coupled personalized multidimensional models, integration of deep learning techniques, and comprehensive assessment of confounding effects on biomarkers.
期刊介绍:
BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering.
BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to:
Bioinformatics-
Bioinstrumentation-
Biomechanics-
Biomedical Devices & Instrumentation-
Biomedical Signal Processing-
Healthcare Information Systems-
Human Dynamics-
Neural Engineering-
Rehabilitation Engineering-
Biomaterials-
Biomedical Imaging & Image Processing-
BioMEMS and On-Chip Devices-
Bio-Micro/Nano Technologies-
Biomolecular Engineering-
Biosensors-
Cardiovascular Systems Engineering-
Cellular Engineering-
Clinical Engineering-
Computational Biology-
Drug Delivery Technologies-
Modeling Methodologies-
Nanomaterials and Nanotechnology in Biomedicine-
Respiratory Systems Engineering-
Robotics in Medicine-
Systems and Synthetic Biology-
Systems Biology-
Telemedicine/Smartphone Applications in Medicine-
Therapeutic Systems, Devices and Technologies-
Tissue Engineering