Two-year outcomes in patients admitted with non-ST elevation acute coronary syndrome: results of the OASIS registry 1 and 2.
Bibliographic record
Abstract
BACKGROUND: Acute coronary syndrome continues to have significant long-term morbidity and mortality. This study sought to compare baseline characteristics, practice patterns and clinical outcomes for patients with non-ST elevation acute coronary syndrome from a broad range of low-, middle- and high-income countries. METHODS AND RESULTS: We compared the data from a prospective registry of patients with non-ST elevation acute coronary syndrome involving 4615 patients from 65 centers in 8 low and middle income countries (OASIS registry 2) with those obtained from 7987 patients from 95 centers in 6 middle and high income countries (OASIS registry 1). Patients in the OASIS registry 2 were younger, were more often males and smokers, presented later to the hospital after symptom onset and had a lower prevalence of diabetes at admission [with the exception of India, which had the highest age-adjusted prevalence (39.1%)]. There were marked variations in the angiography and intervention rates during the hospital stay, but the uses of proven pharmacological therapies were comparable. The two-year mortality rates adjusted for baseline covariates ranged from 6.9% to 15%. Patients from China had the lowest two-year mortality rate (6.9%) and patients from India had the highest rate (15%). Combining the two registries, the covariate-adjusted rate of death or myocardial infarction did not differ across countries with in-hospital angiographic rates of > or = 50% (17.1%), 25-49% (16.7%) or < 25% (16.5%). However, the covariate-adjusted rates for subsequent myocardial infarction (7.6%, 9.2% and 10.8% respectively, p < 0.0001), refractory angina (21.3%, 27.7% and 35.4% respectively, p < 0.0001) and the composite of death, myocardial infarction or refractory angina (34.9%, 40.7% and 46.8% respectively, p < 0.0001) differed depending on the angiographic rates. CONCLUSIONS: Among the participating countries there was a marked heterogeneity in patient characteristics, coronary interventions, resulting in differences in the two-year composite rates of death, myocardial infarction and refractory angina among patients admitted with non-ST elevation acute coronary syndrome.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".