Prediction of conduction disturbances in patients undergoing transcatheter aortic valve replacement.
Aged
Aged, 80 and over
Female
Humans
Male
Aortic Valve
/ surgery
Aortic Valve Stenosis
/ diagnosis
Atrioventricular Block
/ diagnosis
Cardiac Pacing, Artificial
/ adverse effects
Pacemaker, Artificial
/ adverse effects
Risk Factors
Stroke Volume
Transcatheter Aortic Valve Replacement
/ adverse effects
Treatment Outcome
Ventricular Function, Left
Conduction disturbances
Transcatheter valve replacement
Journal
Clinical research in cardiology : official journal of the German Cardiac Society
ISSN: 1861-0692
Titre abrégé: Clin Res Cardiol
Pays: Germany
ID NLM: 101264123
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
01
11
2022
accepted:
12
01
2023
medline:
8
5
2023
pubmed:
22
1
2023
entrez:
21
1
2023
Statut:
ppublish
Résumé
Transcatheter aortic valve replacement (TAVR) can cause intraventricular conduction disturbances (ICA), particularly left bundle branch block (BBB) and high-degree atrioventricular block (HAVB). The aim of this study was to investigate clinical, anatomical, procedural, and electrophysiological parameters predicting ICA after TAVR. Patients with severe aortic stenosis (n = 203) without pacing devices undergoing TAVR with a self-expanding (n = 103) or balloon-expanding (n = 100) valve were enrolled. Clinical and anatomical parameters, such as length of the membranous septum (MS) and implantation depth, were assessed. His-ventricular interval (HVi) before and after implantation was determined. 12-lead-electrocardiograms (ECG) before, during and after 3 and 30 days after TAVR were analyzed for detection of any ICA. Among 203 consecutive patients (aortic valve area 0.78 ± 0.18 cm New-onset left BBB and diabetes mellitus independently predicted HAVB requiring PPM after TAVR and helped to identify patients at risk. Electrophysiologic study (EPS) of atrioventricular conduction was neither specific nor predictive of HAVB and can be skipped. NCT04128384 ( https://www. gov ).
Identifiants
pubmed: 36680617
doi: 10.1007/s00392-023-02160-0
pii: 10.1007/s00392-023-02160-0
pmc: PMC10160192
doi:
Banques de données
ClinicalTrials.gov
['NCT04128384']
Types de publication
Clinical Trial
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
677-690Informations de copyright
© 2023. The Author(s).
Références
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