A24 RELATION BETWEEN VITAMIN D STATUS AND IBD-RELATED HOSPITALISATION IN CHILDREN WITH INFLAMMATORY BOWEL DISEASE TREATED WITH IMMUNOSUPPRESSANT OR BIOLOGICAL AGENTS
Bibliographic record
Abstract
Vitamin D deficiency is known to be a frequent finding in patients with inflammatory bowel disease (IBD) such as Crohn’s disease (CD), ulcerative colitis (UC) or IBD unclassified (IBDU). Several studies have shown an association between low vitamin D levels and high disease activity, which translates into a lower quality of life. The aim of this study was to assess the relation between vitamin D insufficiency (50–74 nmol/L) or deficiency (< 50 nmol/L) and the disease activity in children with IBD as measured by the hospitalisation rate. All patients with CD, UC or IBDU identified in our IBD database were included if they met all the following criteria: (1) diagnosed between January 2011 and June 2018, (2) aged 5 to 18 at diagnosis, (3) treated with immunosupressants or biologics and (4) had at least one vitamin D measurement. Baseline vitamin D blood level at diagnosis was defined as a measurement that occurred between 90 days before and 30 days after diagnosis. Association between low vitamin D levels and the risk of subsequent hospitalisations was analysed with Statistical Analysis Software (SAS). Overall, 202 (95 females) patients, with a mean (SD) age of 13.1 (± 3.1) years old at diagnosis, met the inclusion criteria of this study. Of these, 149 (73.8%) were diagnosed with CD, 43 (21.3%) with UC and 10 (4.9%) with IBDU. The mean (SD) follow-up duration was 36.2 (± 21.4) months. A total of 116 (57,4%) patients were hospitalized at diagnosis and 92 (45.5%) had at least one IBD-related hospitalisation after diagnosis. Baseline vitamin D levels were available for 130 children, with a mean (SD) of 53.6 (± 20.8) nmol/L for patients who were hospitalized at diagnosis and 62.6 (± 20.5) nmol/L for those who were not hospitalized (P=0.020). Patients with vitamin D deficiency were more likely to be hospitalized at diagnosis [odds ratio 2.6 (95% CI: 1.1 – 5.6, P=0.024)]. However, the hazard ratio for subsequent hospitalisation in patients with vitamin D deficiency at diagnosis was 0.9 (95% CI: 0.5 – 1.5, P=0.672). Vitamin D deficiency is associated with a higher risk of IBD-related hospitalisation at diagnosis. Whether vitamin D deficiency is a true risk factor for severe disease remains to be established. These results support the need for monitoring vitamin D levels in patients with IBD. 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".