Role of different vascular approaches on transcatheter aortic valve implantation outcome
Bibliographic record
Abstract
OBJECTIVE: To compare different vascular approaches on clinical outcome of patients undergoing transcatheter aortic valve implantation (TAVI) with self-expandable bioprosthesis. METHODS: We included all the patients undergoing CoreValve implantation at our institute between September 2007 and March 2014. They were divided into four groups based on the vascular approach: percutaneous transfemoral (pTF), cut-down transfemoral (cTF), transaxillary (TAx) and transaortic (TAo). Clinical outcomes were evaluated according to Valve Academic Research Consortium-2 recommendations. RESULTS: Out of 322 consecutive patients, 170 (53%) underwent pTF, 76 (23%) cTF, 32 (10%) TAx and 44 (14%) TAo approach. Although the TAx and TAo patients had a higher risk profile, they had a similar outcome compared with the pTF and cTF groups; in particular, there were no differences regarding cardiovascular and all-cause mortality at 30 days, 1 and 2 years, as well as stroke, myocardial infarction, bleeding, major vascular complications, permanent pacemaker implantation and acute kidney injury rates. The observed device success rate was higher in the TAo than in the other approaches (88.6 versus 65.9, 68.7 and 76.3% in the pTF, cTF and TAx groups, respectively; P = 0.019). No differences occurred regarding 30-day early safety and 1-year clinical efficacy across the four groups. Fluoroscopy time, amount of contrast medium used and minor vascular complications were significantly higher in pTF patients, as well as in-hospital stay in the TAo group. Atrial fibrillation and prosthetic valve regurgitation, but not the vascular approach, were independent predictors of all-cause mortality. CONCLUSION: A more invasive vascular approach, for CoreValve implantation, even in higher risk patients, does not affect early-term, mid-term and long-term outcomes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".