Procedural and clinical outcomes of patients undergoing a TAVI in TAVI procedure: Rationale and design of the multicentre, prospective, observational ReTAVI registry
Bibliographic record
Abstract
BACKGROUND: Transcatheter aortic valve implantation (TAVI) is increasingly being used in younger patients and those with lower peri-procedural risk, meaning more patients will live long enough to experience structural valve deterioration (SVD) of the bioprosthesis, indicating repeated TAVI. Experience of repeated TAVI-transcatheter heart valve (THV) implantation into an index THV is limited. This registry aims to assess the peri-procedural and short-term safety, efficacy and durability of repeated TAVI. METHODS: The ReTAVI Prospective observational registry is an investigator-initiated, multicentre, international, prospective registry of patients undergoing repeated TAVI using balloon-expandable SAPIEN prosthesis to evaluate procedural and short-term safety, efficacy and durability as well as anatomical and procedural factors associated with optimal results. The registry will enrol at least 150 patients across 60 high-volume centres. Patients must be ≥18 years old, have had procedural success with their first TAVI, have index THV device failure, intend to undergo repeated TAVI and be considered suitable candidates by their local Heart Team. All patients will undergo a 30-day and 12-month follow-up. The estimated study completion is 2025. CONCLUSIONS: The registry will collect pre-, peri-, postoperative and 12-months data on patients undergoing repeated TAVI procedures with THVs for failure of the index THV and determine VARC-3-defined efficacy and safety at 30 days and functional outcome at 12 months. The registry will expand existing data sets and identify patient characteristics/indicators related to complications and clinical benefits for patients with symptomatic severe calcific degenerative aortic stenosis.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".