Abstract P146: Trends in Recurrent Coronary Heart Disease Following Myocardial Infarction Among US Men and Women Between 2008 and 2016
Bibliographic record
Abstract
Background: In the US, morbidity and mortality from coronary heart disease (CHD) has declined considerably from the 1970’s through the 2000’s. We examined whether rates of recurrent MI, recurrent CHD, heart failure hospitalization, and all-cause mortality among US men and women with a MI hospitalization have continued to decline between 2008 and 2016, and whether this differs between the sexes. Methods: Data were used from 1,369,617 (53% women) US adults <65 years of age with commercial health insurance in the MarketScan database and US adults ≥66 years of age with government health insurance through Medicare who had a MI hospitalization between January 1, 2008 and September 30, 2016. For each year, sex-specific rates of recurrent MI, recurrent CHD, heart failure hospitalization, and all-cause mortality (Medicare only) per 1,000 person-years were calculated at 30 days from the MI discharge date. Results: Between 2008 and 2016, rates of recurrent MI declined by 15%, from 190 to 162/1000 person-years, in men and by 27%, from 220 to 160/1000 person-years, in women. CHD recurrence rates decreased by 22%, from 311 to 244/1000 person-years, in men and by 32%, from 318 to 216/1000 person-years, in women (Figure). Heart failure hospitalization decreased by 4%, from 367 to 352/1000 person-years, in men and by 18%, from 517 to 425/1000 person-years, in women. Rates of 30-day mortality reduced by 5%, from 1,208 to 1,142/1000 person-years, in men and by 4%, from 1,416 to 1,358/1000 person-years, in women. Conclusion: Rates of recurrent MI, recurrent CHD, heart failure hospitalization, and all-cause mortality within 30 days after hospitalization for MI continue to decline in US adults, with greater reductions in the recurrence of CHD among women than men. Factors underpinning these trends warrant further investigation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".