Diabetes Mellitus and Cardiovascular Events in Older Patients With Myocardial Infarction Prescribed Intensive-Dose and Moderate-Dose Statins
Bibliographic record
Abstract
BACKGROUND: Practice guidelines recommend intensive-dose statins for patients with acute coronary syndrome, but recent data about the risk of new-onset diabetes mellitus have raised concerns about its use. Our main objective was to evaluate the association between intensive statin therapy and new-onset diabetes mellitus in patients with myocardial infarction and to evaluate the association of intensive statin therapy with long-term adverse clinical outcomes. METHODS AND RESULTS: A propensity score-matched cohort was created consisting of 17 080 patients with myocardial infarction aged >65 years old, hospitalized in Ontario, Canada, from 2004 to 2010. Clinical outcomes were compared in patients prescribed intensive-dose versus moderate-dose statins at hospital discharge. At 5 years, 13.6% of patients receiving intensive-dose statins and 13.0% of patients receiving moderate-dose statins had new-onset diabetes, which was not significantly different (P=0.19). By contrast, the 5-year rate of death or acute coronary syndrome was significantly lower at 44.8% in the intensive-dose statin group compared with 46.5% in the moderate-dose group (P=0.044). The reduction in combined clinical outcome was driven mainly by a significantly lower rate of acute coronary syndrome (P=0.039) associated with intensive-dose statins. No significant difference in mortality rates (34.8% in both groups) was observed between the treatment groups during the study period (P=0.89). CONCLUSIONS: In older patients with myocardial infarction, we found intensive-dose statin therapy to be effective in reducing repeat hospitalization for acute coronary syndrome. The rate of new-onset diabetes mellitus at long term was not significantly different between intensive-dose and moderate-dose statins.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".