Predictors of early cerebrovascular events after transcatheter aortic valve replacement: a systematic review and meta-analysis.

Background: Early cerebrovascular events (CVEs) following transcatheter aortic valve replacement (TAVR) are severe complications, but effective methods for predicting and preventing these events have not been well established. A systematic review and meta-analysis were performed to identify significant predictors of early CVEs post-TAVR. Methods: MEDLINE/Embase databases were searched for articles published between December 2015 and April 2023. Original studies evaluating predictors of CVEs within 30 days post-TAVR after adjusting for confounders were included. Two investigators independently extracted data following the PRISMA statement. Meta-analyses of multivariable data were performed using DerSimonian and Laird random-effects models, with results expressed as odds ratios (ORs) and 95% confidence intervals (CIs). Robustness was assessed via Harbord's test, nonparametric trim-and-fill analysis, leave-one-out sensitivity analysis, the QUIPS quality assessment tools, meta-regression, and subgroup analyses. Results: Among the 74 included studies, multivariate meta-analyses identified 11 predictors of early CVEs, including 9 patient-level predictors-a CHA Conclusions: This study identified multiple patient-level and procedure-level factors associated or not associated with early CVEs after TAVR. These findings support the development of a comprehensive risk prediction model that can accommodate diverse patient populations and evolving procedural techniques, thereby enhancing clinical risk management strategies.