A220 A COMPREHENSIVE SYSTEMATIC REVIEW AND META-ANALYSIS OF THE RISK OF ADVERSE NEONATAL OUTCOME IN INFLAMMATORY BOWEL DISEASE AND PREGNANCY
Bibliographic record
Abstract
Abstract Background Inflammatory bowel disease (IBD) often affects women in their child-bearing years. These women may be at an increased risk of adverse neonatal outcomes. Aims The aim of this study was to evaluate the risk of these outcomes in this population of patients, with an emphasis of determining risk factors for development of these conditions. Methods Medline, Embase, and Cochrane library were searched through to May 2019 for studies reporting adverse neonatal outcomes in IBD patients. Weighted odds ratios (OR) with 95% confidence intervals (CI) were calculated to assess the risk of these outcomes in patients with IBD compared to healthy controls, with risk factors such as disease activity and medication exposure also being assessed. Results Sixty studies were included (8194 pregnancies with inflammatory bowel disease and 3253 healthy pregnancies). Compared to healthy controls, patients with inflammatory bowel disease were more likely to deliver infants with low birth weight (LBW) (OR 2.78, 95% CI 1.16–6.66) and infants who were admitted to the neonatal intensive care unit (NICU) (OR 3.33, 95% CI 1.83–6.05). Patients with Crohn’s disease had an increased risk of infants born with congenital anomalies (OR 3.03, 95% CI, 1.43–6.42), whereas patients with ulcerative colitis had an increased risk of preterm delivery (OR 2.68, 95% CI, 1.12–6.43). Active disease increased the risk of preterm birth (OR 2.06, 95% CI 1.21–3.51), LBW (OR 2.96, 95% CI 1.54–5.70), and small for gestation age (OR 2.62, 95% CI 1.18–5.83) compared to disease in remission. Tumor necrosis factor antagonists was associated with increased risk of NICU admission (OR 2.42, 95% CI 1.31–4.45) and LBW (OR 1.54, 95% CI, 1.01–2.35). Conclusions Patients with inflammatory bowel disease are at an increased risk of developing adverse neonatal outcomes such as preterm birth, LBW, congenital anomalies, and NICU admissions. Patients with clinically active disease and those exposed to anti-TNF therapy may be at higher risk of developing these adverse outcomes. The findings of this study are important to communicate to patients and healthcare providers alike. Furthermore, this information may help to mitigate these risks through collaborative specialized care during pregnancy in order to reduce the overall morbidity and mortality for both mother and baby. Funding Agencies None
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 | 0.012 | 0.040 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.031 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".