Early outcomes from the <scp>CLASP IID</scp> trial roll‐in cohort for prohibitive risk patients with degenerative mitral regurgitation
Bibliographic record
Abstract
OBJECTIVES: We report the 30-day outcomes from the roll-in cohort of the CLASP IID trial, representing the first procedures performed by each site. BACKGROUND: The currently enrolling CLASP IID/IIF pivotal trial is a multicenter, prospective, randomized trial assessing the safety and effectiveness of the PASCAL transcatheter valve repair system in patients with clinically significant MR. The trial allows for up to three roll-in patients per site. METHODS: Eligibility criteria were: DMR ≥3+, prohibitive surgical risk, and deemed suitable for transcatheter repair by the local heart team. Trial oversight included a central screening committee and echocardiographic core laboratory. The primary safety endpoint was a 30-day composite MAE: cardiovascular mortality, stroke, myocardial infarction (MI), new need for renal replacement therapy, severe bleeding, and non-elective mitral valve re-intervention, adjudicated by an independent clinical events committee. Thirty-day echocardiographic, functional, and quality of life outcomes were assessed. RESULTS: A total of 45 roll-in patients with mean age of 83 years and 69% in NYHA class III/IV were treated. Successful implantation was achieved in 100%. The 30-day composite MAE rate was 8.9% including one cardiovascular death (2.2%) due to severe bleeding from a hemorrhagic stroke, one MI, and no need for re-intervention. MR≤1+ was achieved in 73% and ≤2+ in 98% of patients. 89% of patients were in NYHA class I/II (p < .001) with improvements in 6MWD (30 m; p = .054) and KCCQ (17 points; p < .001). CONCLUSIONS: Early results representing sites with first experience with the PASCAL repair system showed favorable 30-day outcomes in patients with DMR≥3+ at prohibitive surgical risk.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".