Electrophysiological Study-Guided Permanent Pacemaker Implantation in Patients With Conduction Disturbances Following Transcatheter Aortic Valve Implantation.


Journal

The American journal of cardiology
ISSN: 1879-1913
Titre abrégé: Am J Cardiol
Pays: United States
ID NLM: 0207277

Informations de publication

Date de publication:
15 06 2021
Historique:
received: 21 12 2020
revised: 11 03 2021
accepted: 12 03 2021
pubmed: 24 3 2021
medline: 20 7 2021
entrez: 23 3 2021
Statut: ppublish

Résumé

Conduction disturbances remain common following transcatheter aortic valve implantation (TAVI). Aside from high-degree atrioventricular block (HAVB), their optimal management remains elusive. Invasive electrophysiological studies (EPS) may help stratify patients at low or high risk of HAVB allowing for an early discharge or permanent pacemaker (PPM) implantation among patients with conduction disturbances. We evaluated the safety and diagnostic performances of an EPS-guided PPM implantation strategy among TAVI recipients with conduction disturbances not representing absolute indications for PPM. All patients who underwent TAVI at a single expert center from June 2017 to July 2020 who underwent an EPS during the index hospitalization were included in the present study. False negative outcomes were defined as patients discharged without PPM implantation who required PPM for HAVB within 6 months of the initial EPS. False positive outcomes were defined as patients discharged with a PPM with a ventricular pacing percentage <1% at follow-up. A total of 78 patients were included (median age 83.5, 39% female), among whom 35 patients (45%) received a PPM following EPS. The sensitivity, specificity, positive and negative predictive values of the EPS-guided PPM implantation strategy were 100%, 89.6%, 81.5%, and 100%, respectively. Six patients suffered a mechanical HAVB during EPS and received a PPM. These 6 patients showed PPM dependency at follow-up. In conclusion, an EPS-guided PPM implantation strategy for managing post-TAVI conduction disturbances appears effective to identify patients who can be safely discharged without PPM implantation.

Identifiants

pubmed: 33753040
pii: S0002-9149(21)00255-1
doi: 10.1016/j.amjcard.2021.03.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

78-85

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Hamed Bourenane (H)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Vincent Galand (V)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Dominique Boulmier (D)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Christophe Leclercq (C)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Guillaume Leurent (G)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Marc Bedossa (M)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Nathalie Behar (N)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Camille Pichard (C)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Baptiste Polin (B)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Jacques Tomasi (J)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Jean-Philippe Verhoye (JP)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Sam Sharobeem (S)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Marielle Le Guellec (M)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Erwan Donal (E)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Dominique Pavin (D)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Raphael P Martins (RP)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Hervé Le Breton (H)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France.

Vincent Auffret (V)

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR1099, F 35000 Rennes, France. Electronic address: vincent.auffret@chu-rennes.fr.

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Classifications MeSH