Transcatheter aortic valve implantation with the Evolut platform for bicuspid aortic valve stenosis: the international, multicentre, prospective BIVOLUTX registry
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Prospective data about transcatheter aortic valve implantation (TAVI) in bicuspid aortic valve (BAV) patients are limited. AIMS: We aimed to evaluate the clinical impact of the Evolut PRO and R (34 mm) self-expanding prostheses in BAV patients and explore the impact of different computed tomography (CT) sizing algorithms in a prospective registry. METHODS: A total of 149 bicuspid patients were treated in 14 countries. The primary endpoint was the intended valve performance at 30 days. Secondary endpoints were 30-day and 1-year mortality, severe patient-prosthesis mismatch (PPM) and the ellipticity index at 30 days. All study endpoints were adjudicated according to Valve Academic Research Consortium 3 criteria. RESULTS: , and the mean aortic gradient was 7.2 (5.4-9.5) mmHg. No patient had more than moderate aortic regurgitation at 30 days. PPM was observed in 13/143 (9.1%) surviving patients and was severe in 2 patients (1.6%). Valve function was maintained at 1 year. The mean ellipticity index remained 1.3 (interquartile range 1.2-1.4). Overall, 30-day and 1-year clinical and echocardiography outcomes were similar between the two sizing strategies. CONCLUSIONS: BIVOLUTX demonstrated a favourable bioprosthetic valve performance and good clinical outcomes after TAVI with the Evolut platform in patients with bicuspid aortic stenosis. No impact from the sizing methodology could be identified.
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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 | 0.002 |
| 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 it