Faecal Calprotectin Predicts Endoscopic and Histological Activity in Clinically Quiescent Ulcerative Colitis
Bibliographic record
Abstract
INTRODUCTION: Faecal calprotectin [FC] is a reliable surrogate marker for disease activity in ulcerative colitis [UC]; however, there are no consensus cut-off values for remission. The study aim was to correlate FC with Mayo Endoscopic Score [MES] and histological disease activity of UC patients in clinical remission. METHODS: Our study recruited adult UC patients at the McGill IBD Center between 2013 and 2017. Patients in clinical remission [partial Mayo score ≤2], undergoing endoscopy for disease activity or dysplasia surveillance, were enrolled. Before bowel preparation, FC was collected. MES was documented during colonoscopy. Biopsies were taken; histological activity was assessed using Geboes score and the presence of basal plasmacytosis. RESULTS: A total of 185 patients were recruited. The area under the curve [AUC] in receiver operating characteristic [ROC] analysis to predict MES 1-3 [from 0] was 0.743 [95% CI 0.67-0.82; p <0.001] with an FC cut-off value 170 µg/g [64% sensitivity, 74% specificity], and to predict MES 2-3 [from 0-1] was 0.722 [95% CI 0.61-0.83; p <0.001] with an FC cut-off value 170 µg/g [69% sensitivity, 65% specificity]. To differentiate MES 0 from MES 1, an FC value 130 µg/g yields a 70% sensitivity and 68% specificity. The AUC in ROC analysis to predict Geboes <3.1 was 0.627 [95% CI 0.55-0.71; p = 0.003], with an FC value 135 µg/g [54% sensitivity, 69% specificity]. CONCLUSIONS: In this large study, FC ≥170 µg/g predicts endoscopic activity and FC ≥135 µg/g predicts histological activity. Therefore in clinical practice, lower faecal calprotectin thresholds can be chosen to optimise identification of patients with ongoing endoscopic and histological disease activity.
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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 | 0.000 | 0.000 |
| 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".