P492 The UC Diet and Antibiotics for Treatment of Mild to Moderate Pediatric Ulcerative Colitis: A prospective open label pilot study
Bibliographic record
Abstract
Abstract Background Strategies that target the microbiome may offer an alternative therapeutic approach for Ulcerative Colitis (UC). The goal of the pilot trial was to evaluate the efficacy of a novel microbe-directed UC diet (UCD) for clinical remission, as well as use of antibiotics for dietary refractory patients as an alternative strategy for remission. Methods This was a prospective, single arm, open label, pilot study in patients aged 8–19, with a pediatric UC activity index (PUCAI) scores >10 on stable maintenance therapy. Patients failing to enter remission (PUCAI<10) on diet could receive a 14-day course of Amoxycillin, Metronidazole and Doxycycline (AMD), and were re-assessed on day 21. The primary endpoint was intention to treat (ITT) remission at week 6 with UCD. Results Twenty-four UCD treatment courses were given to 23 eligible children (mean age 15.3±2.9 years). Median PUCAI decreased from baseline 35 (30–40) to 12.5 (5–27.5) week 6 (P=0.001). Clinical remission with UCD alone was achieved in 9/24 (37.5%). Median calprotectin declined from baseline 818 (630.0–1880.0) to 592.0 (140.7–902.4) week 6. Eight patients received treatment with antibiotics after failing diet, 4/8 (50.0%) subsequently entered remission 3 weeks later. Conclusion The UC Diet appears to be effective for induction of remission in children with mild to moderate UC suggesting that diet could play a role in the disease. Sequential use of UCD followed by antibiotic therapy needs to be evaluated as a microbiome targeted steroid sparing strategy.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".