Transcatheter aortic valve implantation in patients with extra-small aortic annuli
Bibliographic record
Abstract
BACKGROUND: A small aortic annulus (SAA) is a risk factor for prosthesis-patient mismatch (PPM) in patients undergoing surgical or transcatheter aortic valve implantation (TAVI). Data regarding TAVI in patients with extra-SAA are scarce. AIMS: The aim of this study was to analyse the safety and efficacy of TAVI in patients with extra-SAA. METHODS: and/or perimeter <60 mm) undergoing TAVI was established. Primary efficacy and safety endpoints were defined as device success and early safety at 30 days, respectively, using the Valve Academic Research Consortium-3 criteria, and were analysed according to valve type: self-expanding (SEV) versus balloon-expandable (BEV). RESULTS: A total of 150 patients were included, of which 139 (92.7%) were women, and 110 (73.3%) received an SEV. Intraprocedural technical success was 91.3%, with a higher rate in patients receiving an SEV (96.4% vs 77.5% with BEV; p=0.001). Overall, 30-day device success was 81.3%, (85.5% with SEV vs 70.0% with BEV; p=0.032). The primary safety endpoint occurred in 72.0% of patients (with no difference between groups; p=0.118). Severe PPM occurred in 12% (9.0% with SEV and 24.0% with BEV; p=0.039), with no impact on all-cause mortality, cardiovascular mortality, or heart failure readmission at 2-year follow-up. CONCLUSIONS: TAVI is a safe and feasible treatment in patients with extra-SAA with a high rate of technical success. The use of SEV was associated with a lower rate of intraprocedural complications, higher device success at 30 days and better haemodynamic outcomes compared to BEV.
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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".