A169 THE ASSOCIATION OF FAECAL CALPROTECTIN MEASUREMENTS WITH ENDO-HISTOLOGICAL REMISSION IN ULCERATIVE COLITIS: A POOLED ANALYSIS.
Bibliographic record
Abstract
Abstract Background Endoscopic and histologic evaluation is standard practice to confirm the presence of active disease in ulcerative colitis (UC) before treatment. Fecal calprotectin (FCAL) levels show a positive correlation with endoscopic indices, relapse, and response to treatment. Meta-analyses on the diagnostic yield of FCAL for histologic remission are hampered by the different cut-offs used by existing studies. Aims Our study aims to select an optimal FCAL threshold to discriminate between active disease or remission in UC based on Mayo endoscopic score (MES) and Geboes histologic score (GHS). Methods We performed a pooled analysis of retrospective and prospective studies of patients with UC from 4 academic centres. Key inclusion criteria were adult UC patients undergoing colonoscopy, with recent FCAL measurements. Receiver operating characteristics curves and area under the curve (AUC) were computed to determine the optimal FCAL threshold for prediction of active UC based on specificity (SP) and sensitivity (SN). Active endoscopic disease was assessed using MES 0-1 vs 2-3 and MES 0 vs 1-3. Active histologic disease was assessed using GHS ≥ or < 2.0 and GHS ≥ or <3.1. Results A total of 741 patients with UC were included in our analysis. For MES 0 vs 1-3, the AUC was 0.730 (95% CI; 0.686-0.775) with an optimal threshold of 145.2 µg/g (SP: 0.68, SN: 0.68). For MES 0-1 vs 2-3, an AUC of 0.806 (95% CI; 0.759-0.852) was computed with an optimal FCAL threshold of 215.3 µg/g (SP: 0.71, SN: 0.71). For GHS <2.0 vs GHS ≥2.0, the AUC was 0.656 (95% CI; 0.614-0.698) with an optimal threshold of 118.0 µg/g (SP: 0.60, SN: 0.60). For GHS <3.1 vs GHS ≥3.1, the AUC was 0.752 (95% CI; 0.712-0.792) with an optimal threshold of 164.7 µg/g (SP: 0.70, SN: 0.70). Conclusions Our analysis suggests that FCAL has the potential to be used in the clinical setting to determine the likelihood of concurrent endoscopic and/or histological disease activity. We plan on testing and validating our thresholds in an independent dataset to assess the clinical relevance of FCAL in predicting UC remission and in guiding physicians in pursuing further tests such as endoscopy and biopsy. Funding Agencies None
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.020 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.029 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".