Use of First- and Second-Generation Cyclooxygenase-2–Selective Nonsteroidal Antiinflammatory Drugs and Risk of Acute Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: The cardiovascular safety of cyclooxygenase (COX)-2-selective nonsteroidal antiinflammatory drugs (NSAIDs) has come under scrutiny after the withdrawal of rofecoxib and halting of the Adenoma Prevention with Celecoxib trial. Whether the newer second-generation COX-2 inhibitors (etoricoxib, valdecoxib) also increase the cardiovascular risk is unknown. METHODS AND RESULTS: We performed a nested case-control study in a cohort of 486,378 persons registered within the United Kingdom General Practice Research Database with at least 1 prescription of an NSAID between June 1, 2000, and October 31, 2004. A total of 3643 cases with acute myocardial infarction (AMI) were matched to 13,918 controls on age, sex, year of cohort entry, and general practice. Rate ratios (RRs) of AMI associated with use of COX-2-selective and -nonselective NSAIDs were calculated. Current use of etoricoxib was associated with a 2.09-fold (95% confidence interval [CI], 1.10 to 3.97) risk of AMI compared with no use of NSAIDs during the prior year. Current use of rofecoxib (RR=1.29; 95% CI, 1.02 to 1.63), celecoxib (RR=1.56; 95% CI, 1.22 to 2.00), and diclofenac (RR=1.37; 95% CI, 1.17 to 1.59) also significantly increased the AMI risk. For current use of valdecoxib, the RR was 4.60 (95% CI, 0.61 to 34.51). RRs appeared to increase with higher daily doses of COX-2 inhibitors and were also increased in patients without major cardiovascular risk factors. CONCLUSIONS: Our study supports the hypothesis that the elevated risk of AMI is a class effect of COX-2 inhibitors. The increase in risk appears to be dose dependent, but further data are needed to verify this observation.
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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 | 0.006 |
| 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 | 0.001 | 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".