Transcatheter Edge-to-Edge Repair in Patients With Primary Tricuspid Regurgitation
Bibliographic record
Abstract
BACKGROUND: Tricuspid regurgitation (TR) leads to right heart congestion and increased mortality risk. Unlike secondary TR, primary TR results from leaflet degeneration. Transcatheter edge-to-edge repair (TEER) is widely used for TR. However, its feasibility primary TR remains uncertain. OBJECTIVES: The aim of this study was to assess the safety and feasibility of TEER in patients with primary TR. METHODS: The primary TR registry is a multicenter cohort study of patients with primary TR undergoing TEER. Echocardiographic assessment classified leaflet pathology into type 1 (flail), type 2 (billowing prolapse), type 3 (perforation), and type 4 (restricted mobility). The primary endpoint was TR reduction to moderate or less at discharge. RESULTS: From December 2016 to April 2023, 114 patients (mean age 79.9 years, 53.5% men) were included. Most patients were in NYHA functional class III or IV (83.3%), with a median TRI-SCORE of 5.0. The TR pathologies were type 1 (28.1%), type 2 (61.4%), and type 4 (10.5%), with no type 3 cases. Device deployment was achieved in 95.6%, and 83.3% showed TR reduction to moderate or less. In-hospital mortality was 1.8%, and single-leaflet device attachment occurred in 3.5%. At 1 year, 79.7% of patients had TR moderate or less, with significant reductions in vena contracta (-5.0 mm; P < 0.001), annular diameter (-2.0 mm; P = 0.003), and mid right ventricular diameter (-3.0 mm; P < 0.001). NYHA functional class also improved significantly (NYHA functional class I or II: 17.1% at baseline vs 66.5% at follow-up; P < 0.001). CONCLUSIONS: TEER is a safe and effective option for primary TR, promoting right heart reverse remodeling and symptomatic relief, offering a vital alternative to surgery in selected patients.
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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 | 0.012 |
| 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".