P314. Biosimilar infliximab in inflammatory bowel diseases: first interim Results from a prospective nationwide observational cohort
Bibliographic record
Abstract
Background: Medication use in females with IBD of child-bearing age is challenging and has to be dealt with individually. Patients are young and want to take an active role in their own management. Some tend to stop medications before or during pregnancy. However, they fail to realize that most drugs are considered low risk for congenital anomalies. Maintaining remission with medical treatment outweighs the potential risks of adverse drug effects. Stopping medications carries the risk of flair ups during pregnancy. Methods: This was a retrospective study were patients were recruited from 5 European centres. Female IBD patients were recruited and they were interviewed through a purposely designed questionnaire. Results: 233 patients were recruited (mean age 40 SD11.9). The mean age of diagnosis was 31.4 years (SD11.2). 85.5% of patients with ulcerative colitis (UC) had a Montreal classification of E2 or E3. 64.7% of Crohn's disease (CD) patients, had non-stricturing and non-penetrating disease. 4.3% were not compliant to treatment. Reasons given included, well-being, long standing remission, fear of medications, problems with employers and suppositories and enemas being uncomfortable. 15.0% thought that all medications should be stopped during pregnancy. 63.1% of patients were unsure and 12% claimed that only some medications should be stopped. 5-ASA was considered as a very safe medication by more than 99% of patients. Medications were stopped by the patient's doctor in 13.9%. This consisted of biologics stopped in the third trimester (2.7%), 5-ASA (9.4%), methotrexate (0.9%) and prednisolone (0.9%). Medications were added by the doctor in 3.9% mainly by adding 5-ASA, folic acid, azathioprine and prednisolone. Dose of steroids and 5-ASA were increased in 2.6%. There was no reported reduction in dose of medications. 1.7% stopped medications on their own accord. Reasons given included fear of harm to the baby and being in remission. 26.6% patients were uncertain if patients with IBD could breast feed. 40.8% thought that they could not breast feed. 54.5% breast fed their babies. In those who did not breastfeed, only 10.7% did not do so because of the medications that they were having. The rest did not breastfeed due to fear and misconceptions about IBD and breastfeeding. Conclusions: Unfortunately, 5-ASA is still regarded as unsafe during pregnancy by some physicians. There is still lack of awareness amongst patients about why patients should continue medications during pregnancy. More awareness is needed about breast feeding in patients with IBD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".