P176 COMPLICATED CROHN’S DISEASE IS ASSOCIATED WITH PERIANAL INVOLVEMENT, IBD-ASSOCIATED SEROLOGIES, AND POLYGENIC RISK SCORES DERIVED FROM IBD-ASSOCIATED VARIANTS
Bibliographic record
Abstract
In Crohn’s disease (CD), disease severity is categorized by the Montreal classification. More complicated (stricturing and/or penetrating) disease is associated with poor quality of life. Our aim was to identify clinical, serological, and genetic factors associated with complicated CD. For each disease location, we performed case-control univariate analyses comparing stricturing (B2), stricturing and penetrating (B2/B3), or penetrating (B3) to non-stricturing/non-penetrating (B1) CD. Demographics and clinical features were obtained by chart review. ELISA was used to determine IBD-related serologies. Genotyping was performed using Illumina Immunochip array. Polygenic risk scores (PRS) were calculated using known IBD-associated variants weighted for effect sizes. We included 1919 caucasian CD patients from a single center. Summary statistics for disease phenotype by disease location can be seen in Table 1. In small bowel (L1), colonic (L2), and ileocolonic (L3) disease, all three complicated disease phenotypes (B2, B2/B3, and B3) were associated with positive serology for ASCA IgA (OR 2.09–5.62, adj p < 2.84e-6). B2 (in L2 and L3) was associated with perianal involvement (OR 1.74–4.14, adj p < 0.01413). More complicated disease phenotype was associated with PRS for CD (OR 1.24–2.15, adj p < 0.0423) and B1 phenotype was associated with PRS for UC (Ulcerative Colitis) (OR 0.477–0.82, adj p < 0.0386). We have identified association of perianal involvement, ASCA IgA, and CD PRS to complicated disease behavior. In addition, we discovered a UC PRS association with B1 phenotype even in colonic disease. These findings can help identify patients at risk of developing more severe disease and help individualize management decisions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".