The Impact of Disease Activity and Medications on Pregnancy and Fetal Outcomes in Women With Inflammatory Bowel Disease: A Cohort Study From the IBD‐ME Group
Bibliographic record
Abstract
BACKGROUND: Women with inflammatory bowel disease (IBD) and their children are at higher risk of adverse outcomes. The primary aim was to examine the association between IBD and adverse pregnancy outcomes. The secondary aim was to assess the impact of maternal IBD and medications used on children's outcomes. METHODS: This is a multicenter retrospective study in Saudi Arabia and Kuwait. Three participating hospitals enrolled women with IBD who gave birth between 2016 and 2023. Information regarding disease characteristics, medication use, pregnancy outcomes, and long-term health outcomes of children until age 14 years were collected. RESULTS: A total of 167 IBD pregnant women, a median age of 37.0 years (IQR: 33.0 to 44.0), were analyzed. Approximately 50% of women had three to six pregnancies. The most common pregnancy outcomes observed were low birth weight (22.5%) and small for gestational age (13.2%). A significant association was found between LBW and a history of smoking (p = 0.024) and Crohn's disease compared with ulcerative colitis (p = 0.018). Active flares or the need for steroids during pregnancy was significantly associated with adverse outcomes. 8.2% of the offspring were later diagnosed with IBD. A history of six or more pregnancies was identified as a significant predictor of IBD in offspring (OR = 4.02; 95% CI: 1.19-14.8, p < 0.01). None of the IBD medications used during pregnancy were associated with poor maternal or fetal outcomes. CONCLUSIONS: Infants of women with active IBD are at an increased risk of prematurity and being small for gestational age. The number of pregnancies is a novel predictor for IBD in an offspring.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".