P554 Does vitamin D level correlates with disease activity in inflammatory bowel disease patients?
Bibliographic record
Abstract
Abstract Background Vitamin D exerts an important role in the immune regulation. Several studies from the Western countries showed low level of vitamin D among inflammatory bowel disease (IBD) patients. They also showed that vitamin D may have an influence on disease activity. Data from the Eastern Europe are scarce. The aim of this study was to evaluate vitamin D level and the association between vitamin D and disease activity in biologic naïve patients with IBD. Methods This is a prospective study carried out at a tertiary hospital center in Albania from 2016–2020 including consecutive biologics–naïve IBD patients. Demographic and clinical data [age, gender, body mass index (BMI), disease location, extent, activity and duration) were collected. All patients underwent ileocolonoscopy. Vitamin D level and C-reactive protein (CRP) were measured within 2 weeks of their ileocolonoscopy. Montreal classification was used to evaluate the disease extent, while total Mayo score and Crohn’s disease activity index (CDAI) were used to assess disease activity in patients with ulcerative colitis (UC) and Crohn’s disease (CD) respectively. Vitamin D levels were considered as: normal >30ng/ml; insufficient 10–30 ng/ml; deficient <10ng/ml. Results A total of 96 patients were included in this study; mean age was 43.5±15.8 years, 52% females; 85.4% UC, mean disease duration 6.5±5 years. Vitamin D levels ranged from 3–58 ng/mL, with a mean level of 18 ±9.9 ng/ml (CD:17.5±12.4 ng/mL, UC:18.1±9.5, p=0.826). 63/96 patients (66%) had vitamin D deficiency (73.2% UC and 21.4% CD, p<0.001), while 21/96 (22%) had vitamin D insufficiency. There was no significant difference in vitamin D insufficiency and IBD type (p>0.05), although the insufficiency was found higher among CD that UC patients [7/14 (50%) vs 14/82 (17%) respectively]. No statistically significant association was found between vitamin D level and age, gender, BMI, disease type, activity, location, extent and duration. There was a negative correlation between CRP and vitamin D level (r=−0.178, p=0.054). Conclusion Low vitamin D levels are common in biologic-naïve patients with IBD. These levels are not associated with clinical data such as disease type, extent, duration or severity in IBD patients, but it seems that vitamin D influences the presence of inflammation in these patients.
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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) | 0.003 | 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".