5324Reduction in heart failure admission rate after transcatheter edge-to-edge tricuspid valve repair for severe tricuspid regurgitation
Bibliographic record
Abstract
Background: Clinical improvement following transcatheter tricuspid valve repair with edge-to-edge devices for severe symptomatic tricuspid regurgitation (TR) has been demonstrated, including improvement in reported symptoms and objective functional capacity. The impact on heart failure related hospital admissions has not yet been described. Purpose: Evaluate the impact of transcatheter edge-to-edge tricuspid valve repair on heart failure admissions. Methods: All transcatheter tricuspid valve repair procedures for severe TR with a leaflet grasping device at two international teaching hospitals between December 1, 2015 and January 31, 2018 were reviewed. Heart failure admissions in the one year preceding the procedure and in the follow up period were defined as any hospital admission with left- or right-sided heart failure as a primary or secondary diagnosis. These were assessed through electronic medical records, clinical notes and by telephone contact if recent records were not available. Heart failure admission rate reduction was estimated with a Poisson model.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".