Isolated tricuspid valve surgery: impact of aetiology and clinical presentation on outcomes
Bibliographic record
Abstract
AIMS: The aim of this study was to identify determinants of in-hospital and mid-term outcomes after isolated tricuspid valve surgery (ITVS) and more specifically the impact of tricuspid regurgitation (TR) mechanism and clinical presentation. METHODS AND RESULTS: Among 5661 consecutive adult patients who underwent a tricuspid valve (TV) surgery at 12 French tertiary centres in 2007-2017 collected from a mandatory administrative database, we identified 466 patients (8% of all tricuspid surgeries) who underwent an ITVS. Most patients presented with advanced disease [47% in New York Heart Association (NYHA) III/IV, 57% with right-sided heart failure (HF) signs]. Tricuspid regurgitation was functional in 49% (22% with prior left-sided heart valve surgery and 27% isolated) and organic in 51% (infective endocarditis in 31% and other causes in 20%). In-hospital mortality and major complications rates were 10% and 31%, respectively. Rates of survival and survival free of HF readmission were 75% and 62% at 5 years. Patients with functional TR incurred a worse in-hospital mortality than those with organic TR (14% vs. 6%, P = 0.004), but presentation was more severe. Independent determinants of outcomes were NYHA Class III/IV [odd ratios (OR) = 2.7 (1.2-6.1), P = 0.01], moderate/severe right ventricular dysfunction [OR = 2.6 (1.2-5.8), P = 0.02], lower prothrombin time [OR = 0.98 (0.96-0.99), P = 0.008], and with borderline statistical significance, right-sided HF signs [OR = 2.4 (0.9-6.5), P = 0.06] while TR mechanism was not [OR = 0.7 (0.3-1.8), P = 0.88]. CONCLUSION: Isolated TV surgery was associated with high mortality and morbidity, both in hospital and during follow-up, predicted by the severity of the presentation but not by TR mechanism. Our results suggest that TV intervention should be performed earlier in the course of the disease.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".