ArticleCirculation. Heart failure2021
Patient-Specific Computational Fluid Dynamics Reveal Localized Flow Patterns Predictive of Post-Left Ventricular Assist Device Aortic Incompetence.
Article in Circulation. Heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Clinical management of aortic valve regurgitation after left ventricular assist device implantation: prediction, assessment, and treatment strategies.Frontiers in cardiovascular medicine · 2026Review
- Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve.Frontiers in bioengineering and biotechnology · 2025Article
- The Impact of Left Ventricular Assist Device Outflow Graft Positioning on Aortic Hemodynamics: Improving Flow Dynamics to Mitigate Aortic Insufficiency.Biomimetics (Basel, Switzerland) · 2023Article
- Considerations of valvular heart disease in children with ventricular assist devices.Frontiers in cardiovascular medicine · 2023Review
- A Brief Note on Building Augmented Reality Models for Scientific Visualization.Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering · 2023Article
- Aortic valve disorders and left ventricular assist devices.Frontiers in cardiovascular medicine · 2023Review
- Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches.Journal of personalized medicine · 2022Article
- Blood flow modeling reveals improved collateral artery performance during the regenerative period in mammalian hearts.Nature cardiovascular research · 2022Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundProgressive aortic valve disease has remained a persistent cause of concern in patients with left ventricular assist devices. Aortic incompetence (AI) is a known predictor of both mortality and readmissions in this patient population and remains a challenging clinical problem.
methodsTen left ventricular assist device patients with de novo aortic regurgitation and 19 control left ventricular assist device patients were identified. Three-dimensional models of patients' aortas were created from their computed tomography scans, following which large-scale patient-specific computational fluid dynamics simulations were performed with physiologically accurate boundary conditions using the SimVascular flow solver.
resultsThe spatial distributions of time-averaged wall shear stress and oscillatory shear index show no significant differences in the aortic root in patients with and without AI (mean difference, 0.67 dyne/cm
conclusionsComputational fluid dynamics serves a unique role in studying the hemodynamic features in left ventricular assist device patients where 4-dimensional magnetic resonance imaging remains unfeasible. Contrary to the widely accepted notions of highly disturbed flow, in this study, we demonstrate that the aortic root is a region of relatively stagnant flow. We further identified localized hemodynamic features in the aortic root that challenge our understanding of how AI develops in this patient population.
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