Key result
Computational models provide mechanistic insights into impaired LV-arterial coupling in aging and cardiovascular disease.
Why the study?
Impaired left ventricular-vascular coupling in aging and disease impairs cardiovascular performance, but the impact of simulating this coupling through computational models needed systematic assessment.
Systematic Review (n=34)
Computational models provide essential insights into the complex mechanisms of impaired left ventricular-arterial coupling in aging and disease beyond clinical observations.
Offers mechanistic insights for clinical assessment of ventricular-arterial coupling; extends computational research toward personalized and deep learning-integrated models.
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.
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Ding et al. (2024) conducted a systematic review in Impaired left ventricular-arterial coupling (n=34). Computational modeling was evaluated. Computational models of varying dimensionalities provide detailed mechanistic insights into impaired left ventricular-arterial coupling in aging and cardiovascular disease.
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