Ding, Corina Cheng Ai and Dokos, Socrates and Bakir, Azam Ahmad and Zamberi, Nurul Jannah and Liew, Yih Miin and Chan, Bee Ting and Md Sari, Nor Ashikin and Avolio, Alberto and Lim, Einly (2024) Simulating impaired left ventricular-arterial coupling in aging and disease: a systematic review. BioMedical Engineering OnLine, 23 (1). p. 24. ISSN 1475-925X, DOI https://doi.org/10.1186/s12938-024-01206-2.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia through Fundamental Research Grant Scheme (FRGS) (FRGS/1/2022/SKK05/UM/02/1) |
| Uncontrolled Keywords: | Ventricular-arterial coupling; Left ventricle; Heart valve; Blood circulation; Computational modeling |
| Subjects: | R Medicine > R Medicine (General) T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering > Biomedical Engineering Department Faculty of Medicine > Medicine Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 04 Nov 2024 08:20 |
| Last Modified: | 04 Nov 2024 08:20 |
| URI: | http://eprints.um.edu.my/id/eprint/45573 |
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