Relationship between angina pectoris and outcomes in patients with heart failure and reduced ejection fraction: an analysis of the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA)
Bibliographic record
Abstract
AIM: Angina pectoris is common in patients with heart failure and reduced ejection fraction (HF-REF) but its relationship with outcomes has not been well defined. This relationship was investigated further in a retrospective analysis of the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA). METHODS AND RESULTS: Four thousand, eight hundred and seventy-eight patients were divided into three categories: no history of angina and no chest pain at baseline (Group A; n = 1240), past history of angina but no chest pain at baseline (Group B; n = 1353) and both a history of angina and chest pain at baseline (Group C; n = 2285). Outcomes were examined using Kaplan-Meier and Cox regression survival analysis. Compared with Group A, Group C had a higher risk of non-fatal myocardial infarction or unstable angina (HR: 2.36, 1.54-3.61; P < 0.001), this composite plus coronary revascularization (HR: 2.54, 1.76-3.68; P < 0.001), as well as HF hospitalization (HR: 1.35, 1.13-1.63; P = 0.001), over a median follow-up period of 33 months. There was no difference in cardiovascular or all-cause mortality. Group B had a smaller increase in risk of coronary events but not of heart failure hospitalization. CONCLUSION: Patients with HF-REF and ongoing angina are at an increased risk of acute coronary syndrome and HF hospitalization. Whether these patients would benefit from more aggressive medical therapy or percutaneous revascularization is not known and merits further investigation.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".