A197 ASSOCIATION BETWEEN ANTIMICROBIAL SEROLOGIES AND IBD LOCATION AND BEHAVIOUR: DATA FROM THE CIDSCANN INCEPTION COHORT
Bibliographic record
Abstract
Abstract Background Antimicrobial serologies have been associated with Inflammatory Bowel Disease (IBD) type and Crohn’s disease (CD) progression. However, prospective pediatric data examining these associations while considering disease location are sparse. Aims 1) Describe rates of serology positivity by disease location; 2) Assess the ability of serologies to predict CD progression to stricturing (B2) /penetrating (B3) behaviour, while accounting for IBD location. Methods Children with CD enrolled in the prospective multicentre Canadian Children IBD Network (CIDsCaNN) were included. ASCA IgA and IgG, CBir1, OmpC and ANCA positivity were measured centrally at Cedars-Sinai. We assessed variables at diagnosis and last follow up. We used Pearson’s Chi-Squared test to compare proportions and Mann-Whitney U test to compare medians between groups. We used multivariable Cox regression to determine the association between serologies and progression to B2/B3 amongst CD patients with B1 at diagnosis, while accounting for L1 location. We calculated area under the ROC curve (AUC) to quantify predictive ability. Results There were 512 CD patients included: median age 13 y (IQR 10.8-14.9), follow up 3.3 y (IQR 1.9-5.0). There were 50/452 (11%) B1 CD patients who progressed (L1: 16/77 (21%); L2: 7/112 (6%); L3: 27/241 (11%)). ASCA+ was more frequent among patients with L1/L3 compared to L2 CD (28% vs 13%, p=0.009), while CBir1+ and OmpC+ rates did not differ by CD location (55% vs 48%, p=0.19 and 9% vs 9%, p=0.85). ANCA+ rate was higher among L2 CD compared to L1/L3 CD (30% vs 10%, p<0.001). In univariate survival analysis, CBir1+, ASCA+ and L1 were associated with progression to B2/B3 (Table 1). In multivariable analysis, only positivity for CBir1+ and L1 were associated with progression. CBir1 titre had only moderate ability to predict progression (AUC 0.65 (95%CI 0.57-0.72)). Conclusions While ASCA and CBir1 are associated with complicated CD in univariate analysis, this appears to be mediated by small bowel location for ASCA. While CBir1 was independently associated with B2/B3 disease, its predictive ability alone was limited. Table 1. Unadjusted and Adjusted Hazard Ratios for Progression to B2 or B3 Complications Funding Agencies CIHRCh.I.L.D Foundation
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".