Perinatal outcomes in women with multiple sclerosis exposed to disease-modifying drugs
Bibliographic record
Abstract
BACKGROUND: The incidence of disease-modifying drug (DMD) exposure during pregnancy in multiple sclerosis (MS) is unknown and limited data exists regarding the potential harm of DMD exposure during pregnancy. OBJECTIVE: To investigate the incidence and effect of in utero DMD exposure on perinatal outcomes. METHODS: We conducted a retrospective analysis by linking two provincial, population-based databases, the British Columbia (BC) MS database with the BC Perinatal Database Registry. Delivery (duration of the second stage of labor, assisted vaginal delivery and Cesarean section) and neonatal (birth weight, gestational age, 5-minute Apgar score and congenital anomalies) outcomes were compared between women exposed and unexposed to a DMD within 1 month prior to conception and/or during pregnancy. Findings were reported as odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: In all, 311 women with relapsing-remitting MS delivered 418 singleton babies between April 1998 and March 2009. 21/101 (21%) of births to MS women treated with DMD prior to pregnancy were exposed to a DMD. In all cases, exposure was documented as unintentional and DMD treatment was stopped within 2 months of gestation. The overall incidence of exposure was 21/418 (5%). DMD exposure was associated with a trend towards a greater risk of assisted vaginal delivery compared to the DMD naïve groups (OR = 3.0; 95% CI: 1.0-9.2). All other comparisons of perinatal outcomes were unremarkable. CONCLUSION: The incidence of DMD exposure was relatively low and no cases were intentional. Further studies are needed to ascertain the safety of DMD exposure during pregnancy in MS.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 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".