Perinatal use and discontinuation of disease-modifying anti-rheumatic drugs and biologics in women with rheumatoid arthritis: a cohort study
Bibliographic record
Abstract
OBJECTIVES: To characterize the utilization and discontinuation of medications before, during and after pregnancy among women with RA. METHODS: We used population-based administrative data to identify women with RA who had a singleton pregnancy ending in delivery between 1 January 2002 and 31 December 2012. We assessed the utilization of RA medications, namely, conventional synthetic DMARDs, biologics, glucocorticosteroids and NSAIDs, across six windows spanning 24 and 12 months before the start of pregnancy, each trimester of pregnancy and 12 months post-pregnancy. We defined medication discontinuation as no prescription in a given window following a prescription in the preceding window and evaluated predictors using logistic regression models, calculating adjusted odds ratios (ORs) and 95% CIs. RESULTS: We studied 1730 pregnancies in 1301 women with RA (mean age at delivery 31.4 ± 5.4 years). We observed substantial medication discontinuation, particularly in the first trimester, with discontinuation of antimalarials in 57.3% of patients, azathioprine 59.1%, sulfasalazine 69.5% and biologics 50.8%. Factors inversely associated with discontinuation of antimalarials in the first trimester were maternal age [OR 0.90 (95% CI 0.86, 0.95)] and number of rheumatology visits [OR 0.86 (95% CI 0.75, 0.97)] and for biologics, prior adverse birth outcome [OR 0.22 (95% CI 0.05, 0.95)]. CONCLUSION: Our population-based study shows frequent discontinuation of medications for RA, particularly in the first trimester. Findings indicate a need to educate women with RA who are planning pregnancy on the benefits and risks of medications during pregnancy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".