Fecal Calprotectin and C-Reactive Protein Association With Histologic and Endoscopic Endpoints in Mirikizumab-Treated Patients With Ulcerative Colitis
Bibliographic record
Abstract
Background: Fecal calprotectin (FC) and C-reactive protein (CRP) are noninvasive biomarkers used in ulcerative colitis (UC) clinical trials; however, thresholds defined as "normal" in trials may be higher than "normal" thresholds typically used in clinical practice. We assessed the relationship between FC and CRP improvement in the "normal" range across different cutoff thresholds for patients with moderately to severely active UC treated with mirikizumab. Methods: Patients achieving clinical response to mirikizumab in LUCENT-1 (Weeks 0-12) proceeded to LUCENT-2 (Weeks 12-52 [52 weeks of continuous mirikizumab]). Associations between FC and CRP levels at multiple thresholds and histologic-endoscopic mucosal improvement (HEMI) and histologic-endoscopic mucosal remission (HEMR) at Weeks 12 and 52 were assessed by Fisher's exact test. Least squares means of FC and CRP changes from baseline at Weeks 12 and 52 were calculated using analysis of covariance with HEMI or HEMR status as factors and baseline FC or CRP values as covariates. Results: At Weeks 12 and 52, greater proportions of patients with FC thresholds of ≤250, ≤150, ≤100, and ≤50 µg/g, and CRP thresholds of ≤6 and ≤5 mg/L, achieved HEMI and HEMR compared with those not achieving HEMI and HEMR. Changes from baseline in FC and CRP at Week 12 and FC at Week 52 were greater in patients who achieved HEMI and HEMR compared with those not achieving these endpoints. Conclusions: These results show that FC and CRP analyses may contribute to a noninvasive monitoring strategy in clinical practice.ClinicalTrials.gov numbers: NCT03518086, NCT03524092.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".