Treatment of Coronary Artery Disease and Acute Myocardial Infarction in Hospitals With and Without On-Site Coronary Artery Bypass Graft Surgery
Bibliographic record
Abstract
BACKGROUND: Many studies have revealed no outcome differences among patients undergoing percutaneous coronary intervention (PCI) in hospitals with and without surgery on-site (SOS), but one earlier study found differences in target vessel PCI rates and in mortality for patients with acute myocardial infarction who did not undergo PCI. It is important to examine outcome differences between SOS and non-SOS hospitals with more contemporary data. METHODS AND RESULTS: A total of 21 924 propensity-matched patients who were discharged between January 1, 2013, and November 30, 2015, who were in the New York PCI registry and other hospital databases were used to compare outcomes in hospitals with and without SOS for all patients and for patients with and without ST-segment-elevation myocardial infarction (STEMI) undergoing PCI. Also, 30-day mortality was compared for patients with STEMI regardless of whether they underwent PCI. For all patients with PCI and patients without STEMI, there were no significant differences in in-hospital/30-day mortality, 2-year mortality, or 2-year repeat target lesion PCI. For patients with STEMI, there were no significant mortality differences between patients in SOS and non-SOS hospitals. Patients with STEMI in SOS hospitals had significantly lower 2-year repeat target lesion PCI rates (adjusted hazard ratio, 0.68 [0.49-0.94]). There was no difference in the percentage of patients undergoing PCI in the 2 types of hospitals (75.7% versus 74.6%; P=0.21) or in 30-day mortality of all patients with STEMI (patients who did and did not undergo PCI, 10.86% versus 11.32%; adjusted odds ratio, 1.06 [0.88-1.29]). CONCLUSIONS: Short-term and long-term outcomes were not different in SOS and non-SOS hospitals except that 2-year repeat target lesion PCI rates were lower in SOS hospitals for patients with STEMI.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".