Patterns of medication use before, during and after pregnancy in women with systemic lupus erythematosus: a population-based cohort study
Bibliographic record
Abstract
OBJECTIVES: This study aimed to characterize the patterns of medication use before, during and after pregnancy in a population-based cohort of women with systemic lupus erythematosus (SLE). METHODS: Using population-based administrative data in British Columbia, Canada, with valid information on start date of pregnancy, we identified women with SLE who had singleton pregnancies ending in deliveries between January 1, 2002, and December 31, 2012. We assessed the proportion of SLE pregnancies exposed to SLE medications - namely antimalarials and immunosuppressants - as well as glucocorticosteroids, and nonsteroidal anti-inflammatory drugs (NSAIDs) 24 months before pregnancy, each trimester of pregnancy, and 12 months postpregnancy. We also assessed discontinuation of antimalarials and immunosuppressants, defined as no prescriptions in a given window following a prescription in a preceding window. RESULTS: Of 376 pregnancies (284 women) with SLE, 24.2% had one or more dispensing for antimalarials, 8.2% for azathioprine, 19.7% for glucocorticosteroids and 4.8% for NSAIDs during pregnancy. We observed a 16.7% discontinuation of antimalarials in the year prior to pregnancy, 29.8% in the first trimester, 9.7% in the second trimester, and 26.0% in the third trimester. We also observed a 29.2% discontinuation of azathioprine in the first trimester, 8.0% in the second trimester, and 9.1% in the third trimester. CONCLUSIONS: These population-based data show frequent discontinuation of medications, particularly antimalarials, in SLE pregnancies. These findings suggest the importance of educating women with SLE who are pregnant or planning to become pregnant 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".