Right ventricular to pulmonary arterial coupling as a predictor of survival in patients undergoing mitral valve surgery for mitral regurgitation
Bibliographic record
Abstract
OBJECTIVES: Right ventricular-to-pulmonary artery coupling has been associated with outcomes in mitral regurgitation treated by transcatheter approaches. We evaluated right ventricular-to-pulmonary artery coupling as a predictor of survival and postoperative length of hospital stay (LOS) in patients with mitral regurgitation undergoing mitral valve surgery. METHODS: In this retrospective analysis (median follow-up: 5.8 years), right ventricular-to-pulmonary artery coupling was quantified as the ratio of tricuspid annular plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP) using transthoracic echocardiography. Receiver operating characteristic curve analysis was used to determine the optimum cut-point of TAPSE/PASP to predict all-cause mortality, and the study population was dichotomized according to this value. The primary end point was all-cause mortality. A secondary end point of LOS was also assessed. RESULTS: Out of 142 patients (median age: 67, female: 49%), 35 showed impaired coupling at baseline (TAPSE/PASP ≤0.35). Patients with TAPSE/PASP ≤0.35 had higher absolute mortality (37% vs 8%, P < 0.001) and longer LOS (7 days vs 9 days, P = 0.04). Kaplan-Meier analysis revealed lower survival in patients with TAPSE/PASP ≤0.35 (log-rank: P < 0.0001). In multivariable Cox regression, TAPSE/PASP ≤0.35 was the most significant predictor of all-cause mortality (hazard ratio: 3.69, 95% confidence interval 1.31-10.1, P = 0.011), alongside chronic obstructive pulmonary disease and estimated glomerular filtration rate. TAPSE/PASP ≤0.35 was associated with significantly increased LOS (β: 4.6, 95% confidence interval 0.66-8.5, P = 0.022) alongside left ventricular ejection fraction, mitral valve replacement and urgent operation. CONCLUSIONS: In mitral regurgitation patients undergoing mitral valve surgery, TAPSE/PASP ≤0.35 is associated with increased mortality and LOS. Further validation is indicated in larger, prospective cohorts.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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".