Transcatheter Edge-to-Edge Repair in Patients With Complex Tricuspid Valve Anatomy
Bibliographic record
Abstract
BACKGROUND: Untreated severe tricuspid regurgitation (TR) carries a poor prognosis. OBJECTIVES: The authors report the 1-year outcomes of transcatheter edge-to-edge repair (TEER) with the TriClip system (Abbott Structural Heart) in patients with complex tricuspid valve anatomies. METHODS: The multicenter, international TRILUMINATE Pivotal (Trial to Evaluate Cardiovascular Outcomes in Patients Treated with the Tricuspid Valve Repair System Pivotal) trial included a single-arm cohort, with complex tricuspid valve anatomies excluded from the randomized arm (ie, anticipated TR reduction but not to moderate or less after TEER). The primary outcome endpoint of the single arm was 1-year survival with a Kansas City Cardiomyopathy Questionnaire score improvement ≥10 points. RESULTS: In the primary analysis population (N = 100), the mean age was 80 ± 6 years, and 35% had a cardiac implantable electronic device lead. Nearly 90% of patients had massive or torrential TR, 44% had prior left-sided valve interventions, 63% had ≥4-segmental tricuspid leaflet morphology, and the coaptation gap averaged 7.4 ± 2.7 mm. The primary endpoint was met (outcome: 46.2%, performance goal: 30%; P = 0.0008). A total of 81% of subjects had moderate or less TR at 1 year. No major adverse events or deaths occurred within 30 days postprocedure. One-year all-cause mortality and heart failure hospitalization were 15% and 24%, respectively. Significant improvements in NYHA functional class and Kansas City Cardiomyopathy Questionnaire overall scores occurred and were maintained at 1 year. CONCLUSIONS: In patients with complex tricuspid anatomies, TEER with the TriClip system demonstrated excellent procedural safety with significant TR reduction and associated improvements in quality of life at 1 year.
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) | 0.001 | 0.026 |
| Bibliometrics | 0.001 | 0.001 |
| 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".