Mid‐term outcome in patients with bicuspid aortic valve stenosis following transcatheter aortic valve replacement with a current generation device: A multicenter study
Bibliographic record
Abstract
OBJECTIVES: To perform clinical and echocardiographic follow-up beyond 1 year in consecutive patients with severe bicuspid aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR) with a current generation balloon-expandable valve. BACKGROUND: Treatment of bicuspid aortic valve disease with TAVR remains controversial and late follow-up data is still scarce. METHODS: We collected baseline characteristics, procedural data, 30-day and mid-term clinical follow-up findings from six centers in Europe and Canada from patients with bicuspid AS treated with TAVR using the SAPIEN 3 valve. RESULTS: Seventy-nine patients underwent TAVR. Mean age was 76 ± 9 years; median STS risk score for mortality was 3.8% (interquartile range 2.3-5.5%). Median follow-up was 390 days (interquartile range 138-739 days). Device success was achieved in 95% of patients. Postimplantation mean aortic gradient decreased from 50.2 ± 16.2 to 8.8 ± 4.4 mmHg and no patient had more than mild aortic regurgitation. At last follow-up, there was persistent good valve performance. At 30 days and 1 year, the rates of all-cause mortality were 3.8 and 7.7%, stroke 1.2 and 1.2%, and the rate of new pacemakers 18 and 18%. CONCLUSIONS: Our data confirm that treating patients with stenotic bicuspid aortic valves is safe, effective, and has favorable valve performance over time.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".