S1769 Effects of Risankizumab on the Extraintestinal Manifestations of Crohn's Disease
Bibliographic record
Abstract
Introduction: Crohn’s disease (CD), characterized by chronic transmural inflammation of the GI tract, can lead to strictures & fistulas, obstruction, & cancer. Additionally, a wide range of debilitating extra-intestinal manifestations (EIMs) can occur. EIM response to CD treatment is variable & does not always coincide with IBD response. Biologic options for CD treatment now include risankizumab (RZB), an interleukin-23 inhibitor (IL-23i). This analysis aimed to assess RZB effects on EIMs & determine any baseline characteristics that predict response. Methods: This retrospective, single center study included CD patients receiving RZB from 2022 to 2024. Baseline characteristics were examined to determine predictors of EIM response. Variables included demographics, markers of disease location/severity (Montreal Classification, fecal calprotectin, inflammatory markers), & prior medical therapies. Clinical parameters included Harvey-Bradshaw Index & Simple Endoscopic Score for CD. Exclusion criteria included loss of follow-up & dual biologic therapy. Statistical analyses were performed using Python. Results: Of 202 CD patients who received RZB, 121 met criteria for analysis. Median diagnosis age was 27, 64% were women, and 79% White. Disease location varied; 46% had ileocolonic disease & remainder were evenly split (isolated ileal or colonic.) Most patients had prior biologic exposure. Thirty-9 (32%) patients had baseline arthralgia with minimal additional EIMs (<3%). In those with baseline arthralgia, median diagnosis age was higher (31 years vs 23.5, P = 0.009), & patients were seen more (17 times vs 12, P = 0.009). Of those with baseline arthralgia, 54% had improvement with RZB. This subgroup had less historic TNF-α exposure & lower baseline ESR (9 vs 19.5, P = 0.041). Thirteen patients without arthralgia developed symptoms on RZB & were older at diagnosis. Baseline patient demographics and markers of disease location/severity were similar between all groups. Conclusion: This retrospective study of CD patients on RZB found minimal baseline indicators of EIM response. Patients with baseline arthralgia were older at diagnosis, & of this subset, those with arthralgia improvement were less likely to have historic TNF-α therapy. Those who developed arthralgia after drug initiation were older at diagnosis. Demographics, disease classification, baseline disease severity, and inflammatory markers except ESR were not effective at predicting arthralgia response to RZB.
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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) | 0.000 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".