Sex and Ethnic Differences in Outcomes of Acute Coronary Syndrome and Stable Angina Patients With Obstructive Coronary Artery Disease
Bibliographic record
Abstract
BACKGROUND: The joint contribution of sex, ethnicity, and initial clinical presentation to the long-term outcomes of patients undergoing coronary angiography for acute coronary syndrome (ACS) or stable angina, in whom there is angiographic evidence for obstructive coronary artery disease, remains unknown. METHODS AND RESULTS: We conducted a population-based cohort study on 49 556 adult ACS or stable angina patients with angiographic evidence of obstructive coronary artery disease (≥ 50% stenosis) in British Columbia. The 2-year composite outcome was all-cause death and hospital readmissions for myocardial infarction, heart failure, cerebrovascular accident, or angina after the index angiography. Sex and ethnic differences in the composite outcome were examined by clinical presentation using the Cox proportional-hazards and logistic regression models. Overall, 25.6% were women, 9.5% were South Asians, 3.0% were Chinese, and 65.9% presented with ACS. Regardless of ethnicity, women were more likely than men to have adverse outcomes, but the magnitude of the sex difference was greater in the ACS patients (P(interaction) for sex and clinical presentation=0.03). Angina readmission accounted for 45% of the composite outcome and was the main component for all groups with the exception of Chinese women with ACS. Furthermore, women were more likely than men to be readmitted for angina (odds ratio [95% confidence interval], 1.13 [1.04-1.22]). CONCLUSIONS: Higher rates of adverse events among women with obstructive coronary artery disease, regardless of ethnicity, as well as high rates of angina readmission, highlight the need for more targeted interventions to reduce the burden of angina because this presentation is clearly not benign.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".