Peri- and Post-interventional Bleeding Events after TAVR: Identifying Predictors of Bleeding over a 3-year Follow-up Period

I. Buchner (Tübingen)1, N. Berenzen (Tübingen)1, K. Thudium (Tübingen)2, J. Schroth (Tübingen)1, Y. Feng (Tübingen)3, M. Gawaz (Tübingen)1, T. Geisler (Tübingen)1, D. Rath (Tübingen)1
1Universitätsklinikum Tübingen Innere Medizin III, Kardiologie und Kreislauferkrankungen Tübingen, Deutschland; 2Universitätsklinikum Tübingen Innere Medizin III Kardiologie und Kreislauferkrankungen Tübingen, Deutschland; 3Insitut für klinische Epidemiologie und angewandte Biometrie Tübingen, Deutschland

Aim: We sought to identify predictors of peri- and post-interventional bleedings in the 3-year period following TAVR and to compare them to the established factors of a modified version of the PREDICT-TAVR score.

Methods: Data from 1.355 patients undergoing TAVR between 2011 and 2020 were analyzed. Baseline characteristics, cardiovascular risk factors, comorbidities, former procedures, complications and outcomes up to 3-year-follow-up were assessed. 
After univariable analysis, variables with p<0.10 were included in a binary logistic regression model. The target variable was the occurrence of bleeding events (BARC 1-5). Taking clinical relevance into account, stepwise forward elimination was performed. The final model was compared to a modified version of the PREDICT-TAVR score (including pre-procedural hemoglobin, oral anticoagulation, post-procedural DAPT and pre-procedural GFR). Modification was necessary due to the data set containing different variables.

Results: In multivariable analysis, previous bleedings, pre-procedural hemoglobin, pre-procedural platelet count and implant expansion mechanism (ballon-expanding vs. self-expanding) remained significant predictors (see Model 1). Inclusion of pre-procedural GGT (see Model 2) as an additional variable yielded a small but consistent improvement in discrimination (AUC 0.689 vs. 0.677), further exceeding the modified PREDICT-TAVR score (AUC 0.605).

Conclusion: The model showed acceptable discrimination and may support further development of improved bleeding risk scores after TAVR. Unlike the PREDICT-TAVR score, which focuses on 30-day outcomes, our analysis covers 3-year follow-up data, taking into account long-term-bleeding risk after TAVR, emphasizing the relevance of bleeding history and the type of expansion mechanism.