Low Fecal Calprotectin Correlates with Histological Remission and Mucosal Healing in Ulcerative Colitis and Colonic Crohnʼs Disease
Bibliographic record
Abstract
BACKGROUND: Data regarding the correlation of histologic and endoscopic healing with fecal calprotectin (FC) are conflicting. We examined how FC levels correlate with histological and endoscopic remission in colonic inflammatory bowel disease. METHODS: Fifty-eight patients (23 with colonic Crohn's disease [CD] and 35 with ulcerative colitis [UC]) were included. Clinical activity was assessed by Harvey-Bradshaw index (CD) and Mayo score (UC). Inflammatory activity was assessed by ileocolonoscopy, C-reactive protein, and FC. Clinical remission was defined as Harvey-Bradshaw index ≤ 4 or Mayo score ≤ 2 and mucosal healing as Mayo endoscopic subscore = 0 (UC), and Simple Endoscopic Score-CD <3 (CD). Histologic activity was assessed in 27 patients (15 CD, 12 UC). Histological remission was defined as absence of active inflammation (Geboes score <3.1) and absence of basal plasmacytosis. RESULTS: In UC, FC correlated with clinical Mayo score (r = 0.63, P < 0.0001). This correlation was strengthened by adding the endoscopic subscore (r = 0.90, P < 0.0001). The endoscopic subscore also independently correlated with FC (r = 0.96, P < 0.0001). In Crohn's colitis, endoscopic activity correlated with FC (r = 0.61, P < 0.001). FC levels were lower overall for patients with endoscopic remission compared with active endoscopic disease (median 100 versus 1180 μg/g, P < 0.0001). FC also correlated with histological remission (Geboes score < 3.1) and absence of basal plasmacytosis in CD (r = 0.77, r = 0.80, respectively; P < 0.01). Area under the curve for FC as a predictor of histological remission (Geboes score <3.1) was 0.95 (95% CI, 0.82-1). CONCLUSIONS: Low FC correlates well with histological remission and mucosal healing in colonic inflammatory bowel disease and is thus a clinically useful surrogate for inflammatory activity.
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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 | 0.001 | 0.004 |
| 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) | 0.001 | 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".