Augmenting mitral valve repair evaluation with intraoperative left ventricle pressure measurements
Bibliographic record
Abstract
Surgical mitral valve repair remains the gold standard treatment of mitral regurgitation due to degenerative disease. Surgery is performed on the quiescent heart; therefore, assessments of valve repair success can only be made following separation from cardiopulmonary bypass. Intra-ventricular pressure measurements are often made in percutaneous valve procedures but has yet been described at the time of surgical repair. As an example, the saline test, whereby normal saline is injected across the mitral valve from the left atrium into the left ventricle, on the arrested heart remains an integral component of surgical repair. However, the haemodynamics of the saline test have never been evaluated. We present a simple and novel technique to quantify the saline test by passing a 22-G catheter across the mitral leaflets during saline testing under maximal ventricle distension. The saline test may be less informative among patients in whom the maximum generated left ventricle diastolic pressure is low. These data may be of help to a surgeon interpreting intraoperative saline tests with the hope of a competent mitral valve. As well, it may provide support for intraventricular pressure monitoring at the time of mitral valve surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".