Practice patterns and clinical outcomes among non‐ST‐segment elevation acute coronary syndrome (NSTE‐ACS) patients presenting to primary and tertiary hospitals: Insights from the EARLY glycoprotein IIb/IIIa inhibition in NSTE‐ACS (EARLY‐ACS) trial
Bibliographic record
Abstract
OBJECTIVES: We evaluated patients at tertiary [both percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) capable] and primary hospitals in the EARLY-ACS trial. BACKGROUND: Early invasive management is recommended for high-risk non-ST-segment elevation acute coronary syndromes. METHODS: We evaluated outcomes in 9,204 patients presenting to: tertiary sites, primary sites with transfer to tertiary sites ("transferred") and those who remained at primary sites ("non-transfer"). RESULTS: There were 348 tertiary (n = 7,455 patients) and 89 primary hospitals [n = 1,749 patients (729 transferred; 1,020 non-transfer)]. Significant delays occurred in time from symptom onset to angiography (49 hr), PCI (53h), and CABG (178 hr) for transferred patients (P < 0.001). Non-transfer patients had less 30-day death/myocardial infarction [9.4% vs. 11.7% (tertiary); adjusted odds ratio (OR): 0.78 (0.62-0.97), P = 0.026]; transferred (14.0%) and tertiary patients were similar [adjusted OR: 1.23 (0.98-1.53), P = 0.074]. Non-transfer patients had lower 1-year mortality [4.3% vs. 6.3% (tertiary); adjusted hazard ratio (HR): 0.64 (0.47-0.87), P = 0.005]: there was no difference between transferred and tertiary patients [5.2% vs. 6.3%; adjusted HR: 0.80 (0.58-1.12), P = 0.202]. Despite similar rates of catheterization, GUSTO severe/moderate bleeding within 120 hr was less in non-transfer [3.1% vs. 6.7% (tertiary); adjusted OR: 0.47 (0.32-0.68), P < 0.001], whereas transferred (6.1%) and tertiary patients were similar [adjusted OR: 0.94 (0.68-1.30), P = 0.693]. There was no difference in non-CABG bleeding. CONCLUSIONS: Timely angiography and revascularization were often not achieved in transferred patients. Non-transferred patients presenting to primary sites had the lowest event rates and the best long-term survival.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".