TRI-SCORE and benefit of intervention in patients with severe tricuspid regurgitation
Bibliographic record
Abstract
BACKGROUND AND AIMS: Benefit of tricuspid regurgitation (TR) correction and timing of intervention are unclear. This study aimed to compare survival rates after surgical or transcatheter intervention to conservative management according to a TR clinical stage as assessed using the TRI-SCORE. METHODS: A total of 2,413 patients with severe isolated functional TR were enrolled in TRIGISTRY (1217 conservatively managed, 551 isolated tricuspid valve surgery, and 645 transcatheter valve repair). The primary endpoint was survival at 2 years. RESULTS: The TRI-SCORE was low (≤3) in 32%, intermediate (4-5) in 33%, and high (≥6) in 35%. A successful correction was achieved in 97% and 65% of patients in the surgical and transcatheter groups, respectively. Survival rates decreased with the TRI-SCORE in the three treatment groups (all P < .0001). In the low TRI-SCORE category, survival rates were higher in the surgical and transcatheter groups than in the conservative management group (93%, 87%, and 79%, respectively, P = .0002). In the intermediate category, no significant difference between groups was observed overall (80%, 71%, and 71%, respectively, P = .13) but benefit of the intervention became significant when the analysis was restricted to patients with successful correction (80%, 81%, and 71%, respectively, P = .009). In the high TRI-SCORE category, survival was not different to conservative management in the surgical and successful repair group (61% and 68% vs 58%, P = .26 and P = .18 respectively). CONCLUSIONS: Survival progressively decreased with the TRI-SCORE irrespective of treatment modality. Compared to conservative management, an early and successful surgical or transcatheter intervention improved 2-year survival in patients at low and, to a lower extent, intermediate TRI-SCORE, while no benefit was observed in the high TRI-SCORE category.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".