P410 Extraintestinal manifestations and quality of life in patients with ulcerative colitis: 1-year data from ICONIC
Bibliographic record
Abstract
In addition to their primary disease, ulcerative colitis (UC) patients may concomitantly suffer from extraintestinal manifestations (EIMs), increasing overall disease-related burden. Impact of EIM-augmented burden to patients is poorly understood. ICONIC is the largest ongoing, prospective, multicountry (n = 33) observational study assessing cumulative UC disease burden in patients receiving routine standard of care. Disease severity, activity, and life impact were captured at 6-month intervals through 2 years. This analysis assessed global and regional EIM-associated burden from 1 year of ICONIC. Adults with early UC (diagnosed ≤36 months) were enrolled irrespective of disease severity or treatment. EIM presence and impact at baseline and over 1 year were assessed, focussing on health-related quality of life (HRQoL) measures: Short Inflammatory Bowel Disease Questionnaire (SIBDQ) and anxiety/depression (Patient Health Questionnaire-9 [PHQ9]). Patients were stratified by physician-assessed baseline disease severity (severe, moderate, mild, in remission). Regional differences in EIM burden and associated site services supporting EIM management were also evaluated. Observed data using descriptive statistics are presented; statistical comparison was performed using Fischer’s exact test. Of 1794 patients with evaluable 1-year data, 14.1% (n = 253) presented with ≥1 EIM at baseline. At 1 year, 20.1% (n = 361) patients had EIMs, with 3.5% of patients (62/1794) presenting new-onset EIMs at 6 months and 2.6% (46/1794) at 1 year (42.7% increase from baseline to 1 year). Rheumatoid arthritis, ankylosing spondylitis, and erythema nodosum were the most common EIMs. Japan had the lowest overall EIM rate over 1 year (4.3%; 5/117); Western Europe/Canada had a 5.2-fold higher total EIM rate over the same period (22.2%; 184/830). Patients with moderate or severe baseline disease had a significantly higher total EIM rate over 1 year (24.2% or 28.0%, respectively) vs. those with mild disease (14.8%) or in remission (16.1%) at baseline (p < 0.0001). For total study population or when stratified by region, patients with ≥1 EIM had higher PHQ9 and lower SIBDQ mean scores over 1 year vs. patients with no EIMs. Of 231 global sites, 134 (58%) had established multi-disciplinary teams (MDTs) and 86 (37.2%) psychologist in situ. New-onset EIMs are common in UC, even after 1 year disease course. EIM presence is associated with poorer HRQoL. Despite regional EIM differences, overall EIM impact on HRQoL was similar across the global study population. EIM-augmented patient burden is a concern in UC, and, with >40% sites lacking MDTs and >60% sites lacking in situ psychologists, awareness of EIM impact is essential.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".