Comparison of vascular closure devices for access site closure after transfemoral aortic valve implantation
Bibliographic record
Abstract
BACKGROUND: The majority of transcatheter aortic valve implantation (TAVI) procedures are currently performed by percutaneous transfemoral approach. The potential contribution of the type of vascular closure device to the incidence of vascular complications is not clear. AIM: To compare the efficacy of a Prostar XL- vs. Perclose ProGlide-based vascular closure strategy. METHODS: The ClOsure device iN TRansfemoral aOrtic vaLve implantation (CONTROL) multi-center study included 3138 consecutive percutaneous transfemoral TAVI patients, categorized according to vascular closure strategy: Prostar XL- (Prostar group) vs. Perclose ProGlide-based vascular closure strategy (ProGlide group). Propensity-score matching was used to assemble a cohort of patients with similar baseline characteristics. RESULTS: Propensity matching identified 944 well-matched patients (472 patient pairs). Composite primary end point of major vascular complications or in-hospital mortality occurred more frequently in Prostar group when compared with ProGlide group (9.5 vs. 5.1%, P = 0.016), and was driven by higher rates of major vascular complication (7.4 vs. 1.9%, P < 0.001) in the Prostar group. However, in-hospital mortality was similar between groups (4.9 vs. 3.5%, P = 0.2). Femoral artery stenosis occurred less frequently in the Prostar group (3.4 vs. 0.5%, P = 0.004), but overall, Prostar use was associated with higher rates of major bleeding (16.7 vs. 3.2%, P < 0.001), acute kidney injury (17.6 vs. 4.4%, P < 0.001) and with longer hospital stay (median 6 vs. 5 days, P = 0.007). CONCLUSIONS: Prostar XL-based vascular closure in transfemoral TAVI procedures is associated with higher major vascular complication rates when compared with ProGlide; however, in-hospital mortality is similar with both devices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".