A prediction model for permanent pacemaker implantation after transcatheter aortic valve replacement.

ABSTRACT:

Background

This study aims to develop a post-procedural risk prediction model for permanent pacemaker implantation (PPMI) in patients treated with transcatheter aortic valve replacement (TAVR).

Methods

336 patients undergoing TAVR at a single institution were included for model derivation. For primary analysis, multivariate logistic regression model was used to evaluate predictors and a risk score system was devised based on the prediction model. For secondary analysis, a Cox proportion hazard model was performed to assess characteristics associated with the time from TAVR to PPMI. The model was validated internally via bootstrap and externally using an independent cohort.

Results

48 (14.3%) patients in the derivation set had PPMI after TAVR. Prior right bundle branch

SUBMITTER: Qi Y 

PROVIDER: S-EPMC10387194 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature