P0504 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
Abstract Background Women with Inflammatory bowel disease (IBD) and their children may face a higher risk of adverse outcomes during and after pregnancy. The primary aim was to examine the association between IBD and adverse pregnancy outcomes: preterm birth, small for gestational age, birth weight, congenital anomalies, and stillbirth. The secondary aim was to assess the impact of maternal IBD and medications used on children’s outcomes: adverse reactions to vaccinations and development of IBD in the offspring up until seven years of age. Methods We performed 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 fourteen was collected. Results This study analyzed data from 167 patients with a median age of 37.0 years (IQR: 33.0 to 44.0). Crohn’s disease was the most common type of IBD (51.2%), followed by ulcerative colitis (46.3%). Of note, 42.7% of the women were on mesalamine, while 25.1% of the study population were on both anti-TNF agents and Azathioprine. The most frequent pregnancy outcome was low birth weight (22.5%), and 8.2% of the offsprings were diagnosed with IBD. A history of having six or more pregnancies significantly predicted IBD in an offspring (OR = 4.02, 95% CI, 1.19 to 14.8, p < 0.01). In contrast, disease control before pregnancy significantly reduced the risk of adverse infant outcomes (OR = 0.10, 95% CI, 0.01 to 0.61, p < 0.01). None of the IBD medications predicted poor pregnancy outcomes. Conclusion Infants of women with active IBD have an increased risk of prematurity and being small for gestational age. Number of pregnancies was a significant predictor for IBD in an offspring. Controlling disease activity at conception is essential to improve both pregnancy and fetal outcomes.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".