Baseline complete bundle branch block, baseline and post-TAVI QRS duration independently predict post-TAVI pacemaker need, but prediction model explains only 31% variance.
Can clinical, electrocardiographic, and CT-derived factors accurately predict the need for permanent pacemaker implantation following TAVI?
709 patients undergoing transcatheter aortic valve implantation (TAVI) without prior history of cardiac device implantation, mean age 82±6.5 years, 56.3% female.
Transcatheter aortic valve implantation (TAVI)
Permanent pacemaker implantation (PPI) post-TAVIhard clinical
While baseline conduction abnormalities and post-TAVI QRS duration independently predict the need for a permanent pacemaker, a reliable clinical prediction model remains elusive, emphasizing the need for individualized clinical surveillance.
Abstract Introduction As transcatheter aortic valve implantation (TAVI) procedures become increasingly common, predicting which patients will require permanent pacemaker implantation (PPI) is a valuable, yet still eluding capability. Purpose To evaluate predictors of post-TAVI PPI and create a risk-defining calculator. Methods Single center study of pts submitted to TAVI without prior history of cardiac device implantation, from 2012 to 2023. Clinical, electrocardiography (ECG), echocardiographic and CT-derived data were collected and analyzed. For statistical analysis T-student, Chi-square tests and logistic regression were performed. Results We included 709 pts, 56,3% of which were female, with a mean age of 82±6,5 years. Regarding baseline ECG, mean QRS was 107±23ms, with 26% of patients displaying complete bundle branch block. Of those, 65,4% were LBBB and 34,6% RBBB. Mean PQ interval was 169±44ms, with 18% of patients displaying 1st degree AV block. 24% of pts presented in AF. Mean aortic valve Agatston score was 3368±1736 Hounsfield units. Roughly half of implanted valves were balloon-expandable (50,4%) and 49,6% self-expandable devices. Regarding valve oversizing index (OI), 6% of pts had undersized valves (OI0); 28,7% had oversized valves with an OI up to 20% and 65,3% had an OI greater than 20%. The QRS complexes were prolonged by 32±27ms at 48h post-TAVR and PQ increased 15±33ms. Regarding post-TAVR conduction disturbances – 21,7% developed complete AV block; 23,4% new-onset LBBB; 1,7% new-onset RBBB. Overall, 30% of pts required PPI – 27% during index hospitalization and 3% over a mean FUP of 38.8±26 months. On bivariate analysis, baseline QRS duration (p=.002); post-TAVI PQ interval (p=.004) and QRS duration (p=.008); post-TAVI QRS prolongation (p=.03); implanted valve size (p=.01); history of AF (p.003; OR 4,9); baseline RBBB (p.001; OR 4,9); baseline LBBB (p .001 OR 2,28); new onset LBBB (p.049; OR 1,45); new onset RBBB (p.005 OR 4,9); and self-expandable valves (p.01; OR 1,53) had significative associations with PPI at FUP. When a logistical regression was conducted, only baseline complete branch block, baseline QRS duration and post-TAVI QRS duration emerged as independent predictors. The prediction model derived from these results performed poorly, explained about 31% of observed variance, and is not adequate for clinical use. Conclusion Several clinical, electrocardiographical, and CT-derived factors present a significative association with post-TAVI PPI. However, in our patient cohort, no model could be derived to accurately predict device implantation at FUP. Individual case assessment and clinical surveillance remain essential in post-TAVI follow-up.
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Natália ́Pedra Madruga
M Azaredo Raposo
C Jorge
European Heart Journal
Hospital de Santa Maria
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Madruga et al. (Sat,) reported a other. Baseline complete bundle branch block, baseline and post-TAVI QRS duration independently predict post-TAVI pacemaker need, but prediction model explains only 31% variance.
www.synapsesocial.com/papers/6988278b0fc35cd7a8846667 — DOI: https://doi.org/10.1093/eurheartj/ehaf784.2400
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