P412 Faecal Calprotectin as a predictor of endoscopic and histologic remission in patients with Ulcerative Colitis
Bibliographic record
Abstract
Abstract Background Faecal calprotectin (FCP) is a reliable surrogate marker for disease activity in ulcerative colitis (UC). However, there are no consensus cut-off values for histoendoscopic remission. The aim of the study is to correlate FCP with Mayo Endoscopic Score (MES) and histological disease activity (Geboes score) of UC patients in clinical remission. Methods We performed a prospective study including adult UC patients at the McGill IBD Center between 2013 and 2017. Patients in clinical remission (partial Mayo score ≤2) or disease relapse, undergoing endoscopy for disease activity or dysplasia surveillance, were enrolled. Before bowel preparation, FCP was collected. MES was documented during colonoscopy. Biopsies were taken throughout the colon and histological activity was assessed using Geboes score (GS) by a blinded expert gastrointestinal pathologist. Results The study included 253 patients, of which 117 (46%) were male with a mean age of 38.2 years (standard deviation [SD] ± 24.8). 46% of the patients had pancolitis at the time of colonoscopy. 5-aminosalicylate were used by 68.4% of patients while 20.9% were on immunomodulators, 19% on biologics and 0.4% on small molecules as treatment. Regarding endoscopic correlation, it showed that an FCP ≥ 200 μg/g predicts MES > 1 despite clinical remission, yielding sensitivity of 59% and specificity of 74%. A FCP ≥ 123 predicts MES > 0 despite clinical remission (58% sensitivity and 70% specificity), also aiding to differentiate MES 0 from MES 1 (61% sensitivity and 70% specificity). As to histologic correlation, a FCP ≥ 80 μg/g identified histological disease activity using Geboes criteria (GS score > 3.1) in patients with clinical remission, yielding 64.7% sensitivity, 58.7% specificity and 77% positive predictive value (Figure 1). When using a GS score threshold of > 2, a cut-off value of FCP ≥ 50 μg/g, appears to be the most clinically relevant to identify patients in clinical remission who continue to have active histologic inflammation, with an 49.6% sensitivity, 41.6% specificity and 40% positive predict value. Results are summarized in Table 1. Conclusion FCP correlates very well with endoscopic and histologic disease activity and can be used as a surrogate marker for disease activity. Our study prospectively demonstrated the optimal cut-off values helping to discriminate endoscopic healing and histologic remission.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".