P155 Incidence and significance of vitamin D deficiency at Inflammatory Bowel Disease inception in the COVID era
Bibliographic record
Abstract
Abstract Background Vitamin D, a key regulator of immune response, is known to be lower in Inflammatory Bowel Disease (IBD) patients than the general population. Disparity in the incidence of deficiency between ethnic groups has previously been demonstrated. We measured vitamin D in a unique multi-ethnic inception cohort to correlate this with traditional IBD scores and patient reported outcome measures including the ‘IBD Disk’. Methods Data regarding demographics, ethnicity, faecal calprotectin (FCAL) and baseline blood results including Vitamin D was collected prospectively from January-October 2021, from adults presenting with suspected IBD. Montreal classification, Harvey-Bradshaw Index or Partial Mayo score, endoscopic disease severity indices and IBD Disk score were documented in those with confirmed diagnosis at endoscopy. Vitamin D deficiency was defined as <50nmol/l. Results 179 patients had a Vitamin D level recorded; 58 Ulcerative colitis (UC), 58 Crohn’s disease (CD), 53 non-IBD controls and 10 still awaiting diagnosis. 44(76%) CD, 32(55%) UC and 28(53%) non-IBD control patients were Vitamin D deficient at first presentation. Median levels were lowest in CD, with a significant difference between CD and non-IBD (median 35nmol/l; IQR 24.05 vs. median 48.9nmol/l; IQR 49.1; p=0.004). Regression analysis demonstrated patients with Crohn’s disease were four times more likely to have Vitamin D deficiency compared to UC (OR 4.08; 95% CI 1.35–12.36) at diagnosis. No correlation was seen between absolute vitamin D levels or vitamin deficiency state and faecal calprotectin when controlled for various factors regardless of the IBD subtype. The cohort distributions are demonstrated in Figure 1. Within the IBD cohort, Vitamin D levels were significantly lower in Black or Asian patients vs White patients (median 28.5; IQR 20.85 vs median 43.3; IQR 33.95; p=0.004). Figure 2 provides an overview of the cohort distributions. Vitamin D levels at presentation, as demonstrated in Table 1, did not correlate with Disease activity markers (DAMS) whereas baseline haemoglobin did, albeit weakly. Interestingly, Vitamin D and Haemoglobin correlated without reaching statistical significance (Spearman’s rho 0.149; p=0.08). Conclusion Our inception dataset demonstrates high rates of Vitamin D deficiency comparable to prior studies in IBD patients. Both CD and Black or Asian ethnicity were strongly associated with Vitamin D deficiency. Baseline Vitamin D did not correlate with disease activity markers whereas anaemia showed consistent weak association. Our study demonstrates the problem of hypovitaminosis D and the importance of measurement and supplementation, particularly in Black and Asian CD patients, from diagnosis.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".