CP-072 Cardiovascular risk associated with the use of non steroidal anti-inflammatory drugs. Cohort study
Bibliographic record
Abstract
Background Since the clinical trial VIGOUR, in which the use of rofecoxib was proved to be connected to a larger number of cardiovascular accidents, an increase in cardiovascular diseases connected to the use of non-steroidal anti-inflammatory drugs has been observed. Purpose This study intends to evaluate cardiovascular impact related to the use of non steroidal anti-inflammatory drugs. Material and methods A retrospective observational study of a clinical cohort over 5 years was done in which all patients older than 18 years (n = 116 686) were included. The statistical analysis was done estimating the incidence of acute coronary syndrome in relation to exposure time. The risk associated with the consumption of non-steroidal anti-inflammatory drugs was made by Poisson regression adjusting for sex and age. Results The connexion between acute coronary syndrome and the use of anti-inflammatory drugs was positive and significant (RR 3.64; 95% CI 2.94 to 4.52; p < 0.001). The cardiovascular risk was higher for alkanones (RR 18; 95% CI 2.53 to 127; p = 0.004), followed by propionoicos (RR 2.58; 95% CI 2.16 to 3.69; p < 0.001), arylacetic (RR 1.88; 95% CI 1.6 to 2.22; p < 0.001) and finally coxib (RR 1.55; 95% CI 1.25 to 1.92; p < 0.001); in other anti-inflammatories, no increased cardiovascular risk was observed. Conclusion The use of non steroidal anti-inflammatory drugs has been connected to a higher risk of cardiovascular accidents; these drugs must not be consumed for a long time or at high doses. References and/or Acknowledgements García Rodríguez LA, González-Pérez A, et al. NSAID use selectively increases the risk of non-fatal myocardial infarction: a systematic review of randomised trials and observational studies. PLoS One 2011;6:e16780 Varas-Lorenzo C, Castellsague J, et al. The use of selective cyclooxygenase-2 inhibitors and the risk of acute myocardial infarction in Saskatchewan, Canada. Pharmacoepidemiol Drug Saf 2009;18:1016-25 García Rodríguez LA, Tacconelli S, Patrignani P. Role of dose potency in the prediction of risk of myocardial infarction associated with nonsteroidal anti-inflammatory drugs in the general population. J Am Coll Cardiol 2008;11(52):1628-36 No conflict of interest.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".