Efficacy and Safety of ProGlide Versus Prostar XL Vascular Closure Devices in Transcatheter Aortic Valve Replacement: The RISPEVA Registry
Bibliographic record
Abstract
Background Transcatheter aortic valve replacement (TAVR) requires large‐bore access, which is associated with bleeding and vascular complications. ProGlide and Prostar XL are vascular closure devices widely used in clinical practice, but their comparative efficacy and safety in TAVR is a subject of debate, owing to conflicting results among published studies. We aimed to compare outcomes with Proglide versus Prostar XL vascular closure devices after TAVR. Methods and Results This large‐scale analysis was conducted using RISPEVA, a multicenter national prospective database of patients undergoing transfemoral TAVR treated with ProGlide versus Prostar XL vascular closure devices. Both multivariate and propensity score adjustments were performed. A total of 2583 patients were selected. Among them, 1361 received ProGlide and 1222 Prostar XL. The predefined primary end point was a composite of cardiovascular mortality, bleeding, and vascular complications assessed at 30 days and 1‐year follow‐up. At 30 days, there was a significantly greater reduction of the primary end point with ProGlide versus Prostar XL (13.8% versus 20.5%, respectively; multivariate adjusted odds ratio, 0.80 [95% CI, 0.65–0.99]; P =0.043), driven by a reduction of bleeding complications (9.1% versus 11.7%, respectively; multivariate adjusted odds ratio, 0.76 [95% CI, 0.58–0.98]; P =0.046). Propensity score analysis confirmed the significant reduction of major adverse cardiovascular events and bleeding risk with ProGlide. No significant differences in the primary end point were found between the 2 vascular closure devices at 1 year of follow‐up (multivariate adjusted hazard ratio, 0.88 [95% CI, 0.72–1.10]; P =0.902). Comparable results were obtained by propensity score analysis. During the procedure, compared with Prostar XL, ProGlide yielded significant higher device success (99.2% versus 97.5%, respectively; P =0.001). Conclusions ProGlide has superior efficacy as compared with Prostar XL in TAVR procedures and is associated with a greater reduction of composite adverse events at short‐term, driven by lower bleeding complications. Registration Information URL: clinicaltrials.gov ; Unique identifier: NCT02713932.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".