Ustekinumab Exposure in Pregnant Women From Inflammatory Bowel Disease Clinical Trials: Pregnancy Outcomes Through Up To 5 Years in Crohn’s Disease and 2 Years in Ulcerative Colitis
Bibliographic record
Abstract
Background: While no adverse developmental outcomes were observed in preclinical animal studies, limited data exist regarding effects of ustekinumab on human pregnancies. Previously, no data have been reported for women treated with ustekinumab in inflammatory bowel disease (IBD) clinical trials and corresponding pregnancy outcomes. Here, we present pregnancy outcomes from IBD clinical trials, incorporating 5 years of treatment in Crohn's disease (CD) and 2 in ulcerative colitis (UC). Methods: All patients in the clinical trials agreed to use adequate birth control and were discontinued from treatment upon pregnancy confirmation. Nonetheless, 39 pregnancies occurred with maternal ustekinumab exposure from 4 CD and 1 UC study. Maternal and neonatal outcomes and data are presented with summary statistics, where available. Results: Of 1289 women who received ≥1 dose of ustekinumab, 39 maternal pregnancies with outcomes were reported (pregnancy cohort). Median maternal age was 28.0 years and median duration of ustekinumab treatment before pregnancy was 63.7 weeks with the last dose of ustekinumab administered prior to or during the first trimester (terminal half-life of ~3 weeks). Outcomes for the 39 pregnancies were: 26 live births (all normal newborns), 8 spontaneous abortions, and 5 elective abortions. No congenital anomalies were reported among normal newborns and no safety signals emerged with neonatal outcomes. Conclusions: Based on this series of 39 pregnancies with outcomes from IBD clinical trials, mothers treated with ustekinumab (limited to up to the first trimester) did not demonstrate a risk of negative outcomes. More data are needed to characterize the safety profile of ustekinumab use during pregnancy.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 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".