In Silico Fatigue Optimization of TAVR Stent Designs with Physiological Motion in a Beating Heart Model
Kyle Baylous (1), Ryan Helbock (1), Brandon Kovarovic (1), Salwa Anam, (1), Marvin Slepian (2), Danny Bluestein (1) ((1) Department of Biomedical, Engineering, Stony Brook University, (2) Department of Medicine and, Biomedical Engineering Sarver Heart Center

TL;DR
This study uses advanced in silico modeling of TAVR stents within a beating heart to evaluate their fatigue resistance, revealing design impacts on durability and offering a cost-effective alternative to physical testing.
Contribution
It introduces a realistic in silico method for assessing TAVR stent fatigue considering physiological heart motion, improving upon traditional in vitro tests.
Findings
PolyV-2 stent showed fewer fatigue-failed elements due to optimized design.
Different stent sections experienced varying fatigue resistance based on loading conditions.
In silico analysis can effectively predict device durability within a beating heart model.
Abstract
The rapid expansion of TAVR to younger, low-risk patients raises concerns regarding device durability. Necessarily, extended stent lifetime will become more critical for new generation devices. In vitro methods commonly used for TAVR stent fatigue testing exclude the effects of the beating heart. We present a more realistic in silico stent fatigue analysis utilizing a beating heart model in which TAVR stents experience complex, nonuniform dynamic loading. Virtual TAVR deployments were simulated in the SIMULIA Living Heart Human Model of a beating heart using stent models of the self-expandable nitinol 26-mm CoreValve and Evolut R devices, and a 27-mm PolyV-2. Stent deformation was monitored over three cardiac cycles, and fatigue resistance was evaluated for the nitinol stents using finite element analysis via ABAQUS/Explicit. In all models, there were elements in which strains exceeded…
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Taxonomy
TopicsCardiac Valve Diseases and Treatments · Cardiac pacing and defibrillation studies · Infective Endocarditis Diagnosis and Management
