Predicting pacemaker dependency after transcatheter aortic valve replacement: Analysis of ECG, clinical, and CT-imaging parameters

RBBB prior to TAVR was the strongest predictor of PPM dependency post-TAVR, followed by prosthesis oversizing and calcification below the LCC. A limited prediction model with these variables demonstrated moderate predictive accuracy.

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Publication Details

Journal
European Journal of Radiology
Published
2025-11-20
DOI
https://doi.org/10.1016/j.ejrad.2025.112534
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
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article

Predicting pacemaker dependency after transcatheter aortic valve replacement: Analysis of ECG, clinical, and CT-imaging parameters

Adrian Curta, Nicola Fink, Matthias P. Fabritius, Konstantinos D. Rizas et al.
European Journal of Radiology
Cardiac Valve Diseases and Treatments
article

Predicting pacemaker dependency after transcatheter aortic valve replacement: Analysis of ECG, clinical, and CT-imaging parameters

Adrian Curta, Nicola Fink, Matthias P. Fabritius, Konstantinos D. Rizas, Christina Utz, Konstantin Klambauer, Nabeel Mansour, Jens Ricke, Daniel Puhr‐Westerheide, Volker Schäfer, W. G. Kunz, Fabian Grathwohl, Judith Spiro
article en

Abstract

RBBB prior to TAVR was the strongest predictor of PPM dependency post-TAVR, followed by prosthesis oversizing and calcification below the LCC. A limited prediction model with these variables demonstrated moderate predictive accuracy.

European Journal of RadiologyVol. 194
LMU Klinikum (DE), German Centre for Cardiovascular Research (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 48%
Cardiac Valve Diseases and Treatments
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Predicting pacemaker dependency after transcatheter aortic valve replacement: Analysis of ECG, clinical, and CT-imaging parameters — Adrian Curta, Nicola Fink, et al. · European Journal of Radiology (2025) | TGRS Research Map | TGRS