Clinical Impact of Crossover Techniques for Primary Access Hemostasis in Transfemoral Transcatheter Aortic Valve Replacement Procedures
Bibliographic record
Abstract
OBJECTIVES: To determine the occurrence of vascular complications (VCs) following transfemoral transcatheter aortic valve replacement (TAVR) with new-generation devices according to the use of a crossover technique (COT). BACKGROUND: The use of a COT (with/without balloon) has been associated with a reduction of VCs in TAVR patients. However, scarce data support its use with second-generation devices. Also, its potential benefit in obese patients (at high-risk of VCs) has not been elucidated. METHODS: A multicenter study including 2214 patients who underwent full percutaneous transfemoral TAVR (COT, 1522 patients; no COT, 692 patients). Thirty-day events were evaluated according to the use of a COT using a multivariate logistic regression model. A subanalysis was performed in obese patients. RESULTS: Primary access major VCs (3.5% COT vs 3.9% no COT; P=.19), major/life-threatening bleeding (3.4% COT vs 2.0% no COT; P=.33), and mortality rates (2.4% COT vs 2.6% no COT; P=.23) were similar between groups. However, minor VCs (11.7% COT vs 5.9% no COT; P<.001) and postprocedural acute renal failure (8.9% COT vs 3.9% no COT; P<.001) were higher in patients undergoing the COT. In the overall cohort, percutaneous closure device failure was more frequent in obese patients (4.0% in the obese group vs 1.9% in the non-obese group; P<.01), but these differences were no longer significant in those undergoing a COT (3.4% in the obese group vs 2.0% in the non-obese group; P=.12). Indeed, in the subset of obese patients, the COT tended to be associated with fewer VCs (3.4% COT vs 5.9% no COT; P=.09). CONCLUSIONS: The use of a COT was not associated with a reduction of major VCs or improved outcomes. However, some patient subsets, such as those with higher body mass index, may benefit from the use of a COT. These findings would suggest the application of a tailored strategy, following a risk-benefit assessment in each TAVR candidate.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.014 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".