Dysfunction of left ventricle as an indication for off-pump coronary artery bypass grafting.
Bibliographic record
Abstract
BACKGROUND: Coronary artery bypass grafting (CABG) with cardiopulmonary bypass carries significant risk for patients with severe left ventricular (LV) dysfunction. METHODS: Between 1997 and 2000, 240 patients underwent OPCAB. The patients were retrospectively divided into 2 groups with regard to LV function. Group 1 consisted of 90 patients with ejection fraction (EF) <35% and grou p 2 of 150 patients without severe LV impairment and EF >35%. Patients were compared for preoperative risk factors, perioperative mortality, and postoperative complications. RESULTS: Preoperative expected mortality according to EuroSCORE was higher in group 1, 5.95, compared with group 2, 2.66 (P =.0005). A few preoperative risk factors were more common in group 1: urgent operation (P =.00001), unstable angina (P =.0018), Canadian Cardiovascular Society class (P =.001), myocardial infarction (P =.0001), and peripheral arteriopathy (P =.0006). Mean number of grafts was 1.51 in group 1 and 1.55 in group 2 with the same internal thoracic artery utilization. Perioperative drainage, anesthesia and intubation time, transfusion rate, and use of inotropes were comparable. Actual, nonadjusted mortality was 2.5% in group 1 and 1.4% in group 2 (P = not significant). Overall rates of postoperative complications were comparable; only use of an intraoperative balloon pump was more frequent in group 1 (P =.006). Postoperative stay was shorter in group 1 (P equals). CONCLUSIONS: Off-pump CABG for patients with LV impairment is associated with surgical outcome similar to that among patients with normal LV function, in spite of the presence of unfavorable risk factors. Off-pump surgery with selective anterior (including right main) arterial revascularization can be indicated in the presence of poor LV function.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".