Race and Sex Differences in Post–Myocardial Infarction Angina Frequency and Risk of 1-Year Unplanned Rehospitalization
Bibliographic record
Abstract
Background: Race and sex disparities in in-hospital treatment and outcomes of patients with acute myocardial infarction (MI) have been described, but little is known about race and sex differences in post-MI angina and long-term risk of unplanned rehospitalization. We examined race and sex differences in post-MI angina frequency and 1-year unplanned rehospitalization to identify factors associated with unplanned rehospitalization, testing for whether race and sex modify these relationships. Methods: Using TRANSLATE-ACS (Treatment With Adenosine Diphosphate Receptor Inhibitors: Longitudinal Assessment of Treatment Patterns and Events after Acute Coronary Syndrome) data, we examined 6-week and 1-year angina frequency and 1-year unplanned rehospitalization stratified by race and sex among MI patients treated with percutaneous coronary intervention. We used multivariable logistic regression to assess factors associated with unplanned rehospitalization and tested for interactions among angina frequency, race, and sex. Results: A total of 11 595 MI patients survived to 1 year postdischarge; there were 66.6% white male patients, 24.3% white female patients, 5.3% black male patients, and 3.8% black female patients. Overall, 29.7% had angina at 6 weeks, and 20.6% had angina at 1 year postdischarge. Relative to white patients, black patients were more likely to have angina at 6 weeks (female: 44.2% versus 31.8%; male: 33.5% versus 27.1%; both P <0.0001) and 1 year (female: 49.4% versus 38.9%; male: 46.3% versus 31.1%; both P <0.0001). Rates of 1-year unplanned rehospitalization were highest among black female patients (44.1%), followed by white female patients (38.4%), black male patients (36.4%), and white male patients (30.2%, P <0.0001). In the multivariable model, 6-week angina was most strongly associated with unplanned rehospitalization (hazard ratio, 1.49; 95% confidence interval, 1.36–1.62; P <0.0001); this relationship was not modified by race or sex (adjusted 3-way P interaction =0.41). Conclusions: One-fifth of MI patients treated with percutaneous coronary intervention report 1-year postdischarge angina, with black and female patients more likely to have angina and to be rehospitalized. Better treatment of post-MI angina may improve patient quality of life and quality of care and help to lower rates of rehospitalization overall and particularly among black and female patients, given their high prevalence of post-MI angina. Clinical Trial Registration: URL: http://www.clinicaltrials.gov . Unique identifier: NCT01088503.
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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 | 0.001 |
| 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".