Cardiovascular Risks of Nonsteroidal Antiinflammatory Drugs in Patients After Hospitalization for Serious Coronary Heart Disease
Bibliographic record
Abstract
BACKGROUND: The cardiovascular safety of individual nonsteroidal antiinflammatory drugs (NSAIDs) is highly controversial, particularly in persons with serious coronary heart disease. METHODS AND RESULTS: We conducted a multisite retrospective cohort study of commonly used individual NSAIDs in Tennessee Medicaid, Saskatchewan Health, and United Kingdom General Practice Research databases. The cohort included 48566 patients recently hospitalized for myocardial infarction, revascularization, or unstable angina pectoris with more than 111000 person-years of follow-up. Naproxen users had the lowest adjusted rates of serious coronary heart disease (myocardial infarction, coronary heart disease death) and serious cardiovascular disease (myocardial infarction, stroke)/death from any cause, with respective incidence rate ratios (relative to NSAID nonusers) of 0.88 (95% CI, 0.66 to 1.17) and 0.91 (0.78 to 1.06). Risk did not increase with doses >or=1000 mg. Relative to NSAID nonusers, serious coronary heart disease risk increased with short term (<90 days) use for ibuprofen (1.67 [1.09 to 2.57]), diclofenac (1.86 [1.18 to 2.92]), celecoxib (1.37 [0.96 to 1.94]), and rofecoxib (1.46 [1.03 to 2.07]), but not for naproxen (0.88 [0.50 to 1.55]). Relative to naproxen, current users of diclofenac had increased risk of serious coronary heart disease (1.44 [0.96 to 2.15], P=0.076) and serious cardiovascular disease/death (1.52 [1.22 to 1.89], P=0.0002), and those of ibuprofen had increased risk of the latter end point (1.25 [1.02 to 1.53], P=0.032). Compared to naproxen in doses >or=1000 mg, serious coronary heart disease incidence rate ratios were increased for rofecoxib >25 mg (2.29 [1.24 to 4.22], P=0.008) and celecoxib >200 mg (1.61 [1.01 to 2.57], P=0.046). CONCLUSIONS: In patients recently hospitalized for serious coronary heart disease, naproxen had better cardiovascular safety than did diclofenac, ibuprofen, and higher doses of celecoxib and rofecoxib.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".