Twenty-five years' clinical experience with repair of tricuspid insufficiency.
Bibliographic record
Abstract
BACKGROUND AND AIM OF THE STUDY: Tricuspid regurgitation secondary to pulmonary hypertension due to left-sided heart valve lesions is common. Here, the results are reported of 25 years' experience with three surgical techniques; the De Vega semicircular annuloplasty, the Bex flexible linear reducer, and the Carpentier-Edwards prosthetic ring annuloplasty. METHODS: Between 1976 and 2002, 463 patients underwent 478 tricuspid annuloplasty procedures to correct valve regurgitation during associated left-sided valve surgery. Patients were followed prospectively at the Montreal Heart Institute Valve Clinic. RESULTS: A total of 107 patients (23%) underwent the De Vega semicircular annuloplasty, 267 (58%) the Bex flexible linear reducer, and 89 (19%) the Carpentier-Edwards prosthetic ring annuloplasty. Excluding 30-day mortality, the mean 5-, 10- and 15-year patient survival was 82+/-4%, 58+/-6% and 30+/-6% respectively after the De Vega semicircular annuloplasty, 76+/-3%, 54+/-4% and 36+/-6% respectively after the Bex flexible linear reducer, and the mean five-year patient survival was 88+/-4% after the Carpentier-Edwards prosthetic ring annuloplasty (p = 0.65, for comparison of the three survival curves). The mean freedom rate from tricuspid repair failure (clinical right heart failure, redo annuloplasty, tricuspid valve replacement at follow up) was 95+/-3%, 93+/-3% and 72+/-8% at 5, 10 and 15 years respectively after the De Vega semicircular annuloplasty, and 97+/-1%, 87+/-4% and 66+/-9% after the Bex flexible linear reducer. The mean freedom rate from repair failure was 94+/-3% at five years after the Carpentier-Edwards prosthetic ring annuloplasty (p = 0.18 for comparison of the three freedom from failure curves). CONCLUSION: All three techniques of tricuspid valve repair resulted in a low rate of failure, and in good patient survival at long-term follow up.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".