Computational Analysis of Growth and Remodeling in Mitral Regurgitation – UROP Symposium

Computational Analysis of Growth and Remodeling in Mitral Regurgitation

Khaled Taifour

Research Mentor: David Nordsletten
Mentor Department: Biomedical Engineering, Engineering
Author(s): Khaled Taifour, John Patrick Sayut Jr, Mia Bonini, Surya Sanjay, David Nordsletten
Session: Session 6 (3:00 PM – 3:50 PM)
Presentation Type: Poster 63

Abstract

Mitral regurgitation (MR) occurs when the mitral valve between the left atrium and left ventricle does not close properly, allowing blood to flow backward into the left atrium of the heart. The condition has a relatively high mortality rate and affects approximately 2% of the general population. Mitral valve surgical repair is a well-established and effective treatment for MR, however nearly half of patients with severe MR are not eligible for surgery due to elevated operative risk. For these patients, transcatheter edge-to-edge repair (M-TEER), a minimally invasive procedure that clips the mitral valve leaflets together to reduce regurgitation, has emerged as an alternative treatment.2

Although imaging techniques such as echocardiography and computed tomography provide important clinical measurements and offer valuable insight into M-TEER effectiveness, these data can be extended through integration into patient-specific computational models of the cardiovascular system. Analytic shape modes and volumetric measures derived from these models can be used to characterize variations in cardiac structure across patients and to better understand how anatomical differences influence cardiovascular function.

Zero-dimensional (0D) cardiovascular models can simulate heart function using physiological variables such as cardiac pressure and volume. In mitral regurgitation, these models allow us to analyze how the cardiovascular system behaves in individual patients following intervention and understand drivers of poor treatment outcomes. Ultimately, this approach may help improve patient selection and provide a better understanding of long-term outcomes following M-TEER.3

Sources:
1V. T. Nkomo, et al. Burden of valvular heart disease: a population-based study. The Lancet. 368(9540):1005–1011.
2S. Baldus, et al. Transcatheter repair versus mitral valve surgery for secondary mitral regurgitation. The New England Journal of Medicine. 391(19):1787–1798.

3P. Wong, et al. Patient-specific computational modeling to optimize outcomes for transcatheter mitral valve repair. Frontiers in Cardiovascular Medicine. 10.

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