A139 AGREEMENT OF IBDOC® AND QUANTON CAL® RAPID LATERAL FLOW-BASED FECAL CALPROTECTIN TESTS WITH ACCEPTED LAB-BASED ASSAYS FOR MONITORING INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
Fecal calprotectin (FCP) is a useful biomarker for monitoring inflammatory bowel disease, showing good correlation to endoscopic disease activity. Currently used lab tests take 2–4 weeks to return a result, limiting their usefulness. Recently, lateral flow-based rapid tests have been combined with smartphone applications to allow patients to complete FCP testing at home, with their physician receiving the result the same day. We aim to compare FCP results from two point-of-care test (POCT) devices (IBDoc; Buhlmann, Quanton Cal; Preventis) in real world use, to two widely accepted lab based methods. Patients brought first morning stool to the University of Alberta IBD clinic, completed partial Mayo (pMayo) and Harvey-Bradshaw index (mHBI) scores, received training, and performed the IBDoc test. A portion of their raw sample was sent to the hospital lab, stored at -20°C, thawed and then analyzed using Quanton Cal POCT kits (performed by laboratory staff) and two weight-based lab tests: Immunodiagnostik (ELISA) and Buhlmann Turbo (immunoturbidimetric) assays. Numerical FCP values were tabulated and dichotomized by ≥250 µg/ml (active) or <250 µg/ml (remission). Clinical scores were dichotomized as symptomatic if mHBI≥5 or pMayo≥2. Twenty patients provided raw stool and completed the IBDoc test, including 12 (60.0%) females and 9 (45.0%) with Crohn’s disease. The median age is 33.5 years (IQR: 29.5 to 37.5). Maintenance medications: 3 (15.0%) taking no medications, 4 (20.0%) on 5-ASA, 4 (20.0%) on immunomodulators, 9 (45.0%) on biologics, of whom 3 (15.0%) were on biologic combotherapy. Median FCP values and IQRs for all four tests are shown in Figure 1. Spearman’s correlation with results from Immunodiagnostik was 0.93 for IBDoc, 0.89 for Quanton Cal, and 0.97 for Buhlmann Turbo. Upon dichotomizing FCP as active or inactive, 18/20 (90%) of results were in agreement between IBDoc and Immunodiagnostik, 19/20 (95%) between Quanton Cal and Immunodiagnostik, and 19/20 (95%) between IBDoc and Quanton Cal. However; pMayo/mHBI and FCP were not as agreeable with 12/20 (60%) reaching the same conclusion (symptomatic or asymptomatic) for IBDoc, 13/20 (65%) for Quanton Cal, and 14/20 (70%) for Immunodiagnostik. There is good correlation between POCTs and lab tests at <250 µg/ml, although correlation was better between the two lab tests. POCTs can differentiate disease activity from remission and can be performed remotely, an advantage for rural patients. The quantitative values >250 µg/ml are not reproducible and would be misleading if used to monitor disease progression. FCP close to cutoffs should be repeated and does not correlate very well with patient reported symptoms. None
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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 | 0.038 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".