There is a newer version of the record available.

Published October 15, 2022 | Version v2

In-silico Risk Assessment of Cardiac Conduction Abnormality Associated with Transcatheter Aortic Valve Replacement (TAVR) Using an Electro-Mechanically Coupled Beating Heart Model

  • 1. Stony Brook University

Description

Transcatheter aortic valve replacement (TAVR) procedure is a minimally invasive procedure to treat patients with aortic stenosis. TAVR technology has undergone a rapid evolution due to continuous design improvements. However, some post-TAVR complications remain persistent, with cardiac conduction abnormality (CCA) being one of the major ones. It can occur due to mechanical damage sustained by the atrioventricular conduction system located near the inter-leaflet triangle region between the non-coronary and the right-coronary leaflet. In his study, we have used an electro-mechanically coupled beating heart model to develop an in-silico technique to assess CCA risk incorporating the effect of a dynamic beating heart and pre-procedural parameters such as implantation depth and preexisting cardiac asynchrony in the development of post-TAVR CCA.

Files

BMES2022_Symon_final.pdf

Files (273.9 kB)

Name Size
md5:87f5a6a2a87bc7590052a821431597d1
273.9 kB Preview Download

Additional details

Funding

National Institutes of Health
Biomechanical Approaches and Technologies for Enhancing TAVR Outcomes 1U01EB026414-01

References

  • Reza, Symon, et al. "A computational framework for post‐TAVR cardiac conduction abnormality (CCA) risk assessment in patient‐specific anatomy." Artificial Organs (2022).
  • Baillargeon, Brian, et al. "The living heart project: a robust and integrative simulator for human heart function." European Journal of Mechanics-A/Solids 48 (2014): 38-47.
  • Rocatello, Giorgia, et al. "Patient-specific computer simulation to elucidate the role of contact pressure in the development of new conduction abnormalities after catheter-based implantation of a self-expanding aortic valve." Circulation: Cardiovascular Interventions 11.2 (2018): e005344.