Transcatheter versus Surgical Aortic Valve Replacement in Low-Risk Patients: Meta-Analysis of 30-Day Perioperative Stroke Risk
Discuss this preprint
Start a discussion What are Sciety discussions?Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
Background Transcatheter aortic valve replacement (TAVR) has emerged as an alternative to surgical aortic valve replacement (SAVR) for low-risk patients with severe aortic stenosis. Given that perioperative stroke, defined as any ischemic or hemorrhagic stroke confirmed by imaging or clinical diagnosis within 30 days post-procedure—remains a critical adverse event affecting both short- and long-term outcomes, a rigorous comparative evaluation of stroke risk between these modalities is warranted. Methods A comprehensive literature search of MEDLINE (PubMed), and ScienceDirect was conducted from inception to November 2024 to identify relevant randomized controlled trials (RCTs) comparing TAVR with SAVR in low-risk patients. Six RCTs met the inclusion criteria. The primary endpoint was the 30-day perioperative stroke rate. For studies with zero events, a continuity correction of 0.5 was applied. Heterogeneity was assessed via Tau², Chi², and I² statistics, and a prediction interval was computed. Results The pooled analysis of six RCTs revealed a hazard ratio of 0.76 (95% CI: 0.55–1.06, p = 0.10), indicating a non-significant trend toward a lower risk of perioperative stroke with TAVR compared to SAVR. Heterogeneity was low (I² = 14%; Tau² = 0.0244; Chi² = 5.79, p = 0.33), with a prediction interval of 0.41 to 1.44. Conclusion In this meta-analysis of six RCTs, TAVR demonstrated a modest, non-significant trend toward reduced perioperative stroke risk compared to SAVR in low-risk patients. While the findings suggest potential benefits of TAVR regarding stroke prevention, the lack of statistical significance underscores the need for further studies with extended follow-up and additional clinical endpoints to refine patient selection and optimize treatment strategies.