The Pursuit of Engineering the Ideal Heart Valve Replacement or Repair: A Special Issue of the Annals of Biomedical Engineering

Dasi, Lakshmi Prasad; Grande-Allen, Jane; Kunzelman, Karyn S.; Kuhl, Ellen

doi:10.1007/s10439-017-1801-0

Cited by 10 publications

(8 citation statements)

References 15 publications

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“…In addition to novel therapeutics, there remains much interest within the bioengineering field to design and develop new valves that may produce fewer haemodynamic disturbances and expose less thrombogenic material and as such, may result in a lower thrombosis risk [91].…”

Section: Insights On Future Researchmentioning

confidence: 99%

Thromboembolic and Bleeding Complications in Transcatheter Aortic Valve Implantation: Insights on Mechanisms, Prophylaxis and Therapy

Ranasinghe

Peter

McFadyen

2019

JCM

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Transcatheter aortic valve implantation (TAVI) has emerged as an important alternative to surgical aortic valve repair (SAVR) for patients with severe aortic stenosis. This rapidly advancing field has produced new-generation devices being delivered with small delivery sheaths, embolic protection devices and improved retrieval features. Despite efforts to reduce the rate of thrombotic complications associated with TAVI, valve thrombosis and cerebral ischaemic events post-TAVI continue to be a significant issue. However, the antithrombotic treatments utilised to prevent these dreaded complications are based on weak evidence and are associated with high rates of bleeding, which in itself is associated with adverse clinical outcomes. Recently, experimental data has shed light on the unique mechanisms, particularly the complex haemodynamic changes at sites of TAVI, that underpin the development of post-TAVI thrombosis. These new insights regarding the drivers of TAVI-associated thrombosis, coupled with the ongoing development of novel antithrombotics which do not cause bleeding, hold the potential to deliver newer, safer therapeutic paradigms to prevent post-TAVI thrombotic and bleeding complications. This review highlights the major challenge of post-TAVI thrombosis and bleeding, and the significant issues surrounding current antithrombotic approaches. Moreover, a detailed discussion regarding the mechanisms of post-TAVI thrombosis is provided, in addition to an appraisal of current antithrombotic guidelines, past and ongoing clinical trials, and how novel therapeutics offer the hope of optimizing antithrombotic strategies and ultimately improving patient outcomes.

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Section: Insights On Future Researchmentioning

confidence: 99%

Thromboembolic and Bleeding Complications in Transcatheter Aortic Valve Implantation: Insights on Mechanisms, Prophylaxis and Therapy

Ranasinghe

Peter

McFadyen

2019

JCM

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“…A large number of patients need heart valve replacement every year worldwide due to the failure of their native heart valves [34]. Recent advances in manufacturing have led to an explosive growth in the types of heart valve prosthesis [35] as biomaterial design has advanced rapidly [36]. In this work, these prostheses are categorized into: (i) mechanical valves and (ii) bioprosthetic valves, which emulate the shape and biological deformation patterns of native valves.…”

Section: Prosthetic Heart Valvesmentioning

confidence: 99%

Computational Methods for Fluid-Structure Interaction Simulation of Heart Valves in Patient-Specific Left Heart Anatomies

Usta

Aidun

et al. 2022

Fluids

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Given the complexity of human left heart anatomy and valvular structures, the fluid–structure interaction (FSI) simulation of native and prosthetic valves poses a significant challenge for numerical methods. In this review, recent numerical advancements for both fluid and structural solvers for heart valves in patient-specific left hearts are systematically considered, emphasizing the numerical treatments of blood flow and valve surfaces, which are the most critical aspects for accurate simulations. Numerical methods for hemodynamics are considered under both the continuum and discrete (particle) approaches. The numerical treatments for the structural dynamics of aortic/mitral valves and FSI coupling methods between the solid Ωs and fluid domain Ωf are also reviewed. Future work toward more advanced patient-specific simulations is also discussed, including the fusion of high-fidelity simulation within vivo measurements and physics-based digital twining based on data analytics and machine learning techniques.

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“…It has been used for understanding a diverse range of complex problems, such as the surgical intervention strategies for arterial bifurcation [61], the impact of left ventricular assist devices [57,58], the risk of aortic aneurysm rupture [24,25], the repair of the mitral valve in the heart [67,15], as well as the surgical aids for brain surgeries [60]. Through biomechanics simulation, devices and procedures can be optimized and personalized to improve design, therapy and patient outcomes [11].…”

Section: Introductionmentioning

confidence: 99%

An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials

Zhang

Capilnasiu

Sommer

et al. 2020

Computer Methods in Applied Mechanics and Engineering

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Computational biomechanics plays an important role in biomedical engineering: using modeling to understand pathophysiology, treatment and device design. While experimental evidence indicates that the mechanical response of most tissues is viscoelasticity, current biomechanical models in the computation community often assume only hyperelasticity. Fractional viscoelastic constitutive models have been successfully used in literature to capture the material response. However, the translation of these models into computational platforms remains limited. Many experimentally derived viscoelastic constitutive models are not suitable for three-dimensional simulations. Furthermore, the use of fractional derivatives can be computationally prohibitive, with a number of current numerical approximations having a computational cost that is O(N 2 T ) and a storage cost that is O(N T ) (N T denotes the number of time steps). In this paper, we present a novel numerical approximation to the Caputo derivative which exploits a recurrence relation similar to those used to discretize classic temporal derivatives, giving a computational cost that is O(N ) and a storage cost that is fixed over time. The approximation is optimized for numerical applications, and the error estimate is presented to demonstrate efficacy of the method. The method is shown to be unconditionally stable in the linear viscoelastic case. It was then integrated into a computational biomechanical framework, with several numerical examples verifying accuracy and computational efficiency of the method, including in an analytic test, in an analytic fractional differential equation, as well as in a computational biomechanical model problem. Fractional Derivatives and their Approximations Caputo fractional derivativeThe concept of fractional calculus started with questions about about the generalization of integral and differential operators by L'Hospital and Leibniz [68] from the set of integers to the set of real numbers.Subsequently, many prominent mathematicians focused on fractional calculus (for reviews, see, Ross [68] and Machado [51]). Within the field, many different definitions for fractional differential and integral operators of arbitrary order have been introduced [64]. In this work, we focus on the Caputo definition where the fractional derivative, D α t (with α > 0), of a n-times differentiable function f can be written as,

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The Pursuit of Engineering the Ideal Heart Valve Replacement or Repair: A Special Issue of the Annals of Biomedical Engineering

Cited by 10 publications

References 15 publications

Thromboembolic and Bleeding Complications in Transcatheter Aortic Valve Implantation: Insights on Mechanisms, Prophylaxis and Therapy

Thromboembolic and Bleeding Complications in Transcatheter Aortic Valve Implantation: Insights on Mechanisms, Prophylaxis and Therapy

Computational Methods for Fluid-Structure Interaction Simulation of Heart Valves in Patient-Specific Left Heart Anatomies

An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials

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