Preoperative statin use and in-hospital outcomes following heart surgery in patients with unstable angina
Bibliographic record
Abstract
OBJECTIVE: Unstable angina (UA) is characterized by a state of coronary artery vascular inflammation and endothelial dysfunction. Statins mitigate inflammation and endothelial dysfunction and decrease mortality associated with percutaneous interventions for UA. We determined whether preoperative statin use is associated with decreased mortality and morbidity following coronary artery bypass+/-valve surgery for UA. METHODS: Patients with CCS Class IV angina having CABG+/-valve surgery were identified (n=1706). A logistic regression model determined the association of preoperative statin use with in-hospital mortality (IHM). Propensity score analysis was used to match two sub-groups of patients (GrpI, on statins, n=534; GrpII, not on statins, n=534) on factors known to affect outcomes. Outcomes were IHM, intra-aortic balloon pump (IABP) use, perioperative myocardial infarction (PMI), prolonged (>24 h) ventilation (p-vent), stroke, and a composite outcome (comp) defined as any one or more of the above. RESULTS: Of the 1706 patients, 1075 were on statins and 631 were not. Patients on statins were more likely to have isolated CABG, EF>40%, and be on a beta-blocker (P=0.0001); and less likely to have renal failure, MI<7 days, CHF, and undergoing urgent/emergent surgery (P=0.0001). Unadjusted rates of IHM (9 vs. 5%, P=0.001), stroke (4.4 vs. 2.3%, P=0.015), p-vent (28.4 vs. 19%, P=0.0001), and comp (32.5 vs. 22.8%, P=0.0001) were lower in patients receiving statins. After adjustment, statin use was not associated with a reduction in IHM (OR=1.0, 95% CI=0.6-1.5, P=0.85) or comp (OR=1.1, 95% CI=0.8-1.4, P=0.69). No significant differences were found in any of the propensity-adjusted outcomes for GrpI vs. GrpII: IHM (7.1 vs. 6.4%), PMI (2.8 vs. 1.7%), IABP use (3 vs. 3.8%), stroke (3.8 vs. 3.9%), p-vent (26.4 vs. 23.8%), comp (31.5 vs. 27.5%). CONCLUSIONS: Preoperative statin use is not associated with a reduction in IHM or major morbidity following CABG+/-valve surgery in patients with UA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".