Ongoing Experience With Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve.


Journal

Cardiovascular revascularization medicine : including molecular interventions
ISSN: 1878-0938
Titre abrégé: Cardiovasc Revasc Med
Pays: United States
ID NLM: 101238551

Informations de publication

Date de publication:
06 2023
Historique:
received: 07 11 2022
revised: 23 12 2022
accepted: 18 01 2023
medline: 31 5 2023
pubmed: 6 2 2023
entrez: 5 2 2023
Statut: ppublish

Résumé

Transcatheter aortic valve replacement (TAVR) is increasingly being used to treat younger, lower-risk patients with bicuspid aortic valve (BAV). Patient-specific computer simulation may identify patients at risk for developing paravalvular regurgitation (PVR) and major conduction disturbance. Only limited prospective experience of this technology exist. We wished to describe our ongoing experience with patient-specific computer simulation. Patients who were referred for consideration of TAVR with a self-expanding transcatheter heart valve (THV) and had BAV identified on pre-procedural cardiac computed tomography imaging underwent patient-specific computer simulation. The computer simulations were reviewed by the Heart Team and used to guide surgical or transcatheter treatment approaches and to aid in THV sizing and positioning. Clinical outcomes were recorded. Between May 2019 and May 2021, 16 patients with BAV were referred for consideration of TAVR with a self-expanding THV. Sievers Type 1 morphology was present in 15 patients and Type 0 in the remaining patient. Two patients were predicted to develop moderate-to-severe PVR with a TAVR procedure and these patients underwent successful surgical aortic valve replacement. In the remaining 14 patients, computer simulation was used to optimize THV sizing and positioning to minimise PVR and conduction disturbance. One patient with a low valve implantation depth developed moderate PVR and this complication was correctly predicted by the computer simulations. No patient required insertion of a new permanent pacemaker. Patient-specific computer simulation may be used to guide the most appropriate treatment modality for patients with BAV. The usage of computer simulation to guide THV sizing and positioning was associated with favourable clinical outcomes.

Sections du résumé

BACKGROUND
Transcatheter aortic valve replacement (TAVR) is increasingly being used to treat younger, lower-risk patients with bicuspid aortic valve (BAV). Patient-specific computer simulation may identify patients at risk for developing paravalvular regurgitation (PVR) and major conduction disturbance. Only limited prospective experience of this technology exist. We wished to describe our ongoing experience with patient-specific computer simulation.
METHODS
Patients who were referred for consideration of TAVR with a self-expanding transcatheter heart valve (THV) and had BAV identified on pre-procedural cardiac computed tomography imaging underwent patient-specific computer simulation. The computer simulations were reviewed by the Heart Team and used to guide surgical or transcatheter treatment approaches and to aid in THV sizing and positioning. Clinical outcomes were recorded.
RESULTS
Between May 2019 and May 2021, 16 patients with BAV were referred for consideration of TAVR with a self-expanding THV. Sievers Type 1 morphology was present in 15 patients and Type 0 in the remaining patient. Two patients were predicted to develop moderate-to-severe PVR with a TAVR procedure and these patients underwent successful surgical aortic valve replacement. In the remaining 14 patients, computer simulation was used to optimize THV sizing and positioning to minimise PVR and conduction disturbance. One patient with a low valve implantation depth developed moderate PVR and this complication was correctly predicted by the computer simulations. No patient required insertion of a new permanent pacemaker.
CONCLUSION
Patient-specific computer simulation may be used to guide the most appropriate treatment modality for patients with BAV. The usage of computer simulation to guide THV sizing and positioning was associated with favourable clinical outcomes.

Identifiants

pubmed: 36740551
pii: S1553-8389(23)00016-7
doi: 10.1016/j.carrev.2023.01.015
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

31-37

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Dr. Dowling reports grants from Medtronic, outside the submitted work. A/Prof. Gooley reports personal fees from Boston Scientific, outside the submitted work. Dr. McCormick reports personal fees from Boston Scientific, outside the submitted work. Prof. Brecker reports grants and personal fees from Medtronic, outside the submitted work. All other authors have nothing to disclose.

Auteurs

Cameron Dowling (C)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; MonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia. Electronic address: cameron.dowling@stanford.edu.

Robert Gooley (R)

MonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.

Liam McCormick (L)

MonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.

Rahul P Sharma (RP)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Alan C Yeung (AC)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.

William F Fearon (WF)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.

James Dargan (J)

Cardiology Clinical Academic Group, St. George's University of London and St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.

Faisal Khan (F)

Cardiology Clinical Academic Group, St. George's University of London and St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.

Sami Firoozi (S)

Cardiology Clinical Academic Group, St. George's University of London and St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.

Stephen J Brecker (SJ)

Cardiology Clinical Academic Group, St. George's University of London and St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.

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