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Record W4206965939 · doi:10.1093/ecco-jcc/jjab232.283

P155 Incidence and significance of vitamin D deficiency at Inflammatory Bowel Disease inception in the COVID era

2022· article· en· W4206965939 on OpenAlexaboutno aff
Peter J. Rimmer, Jonathan Cheesbrough, Lindsey Palmer, I Meade, M T Zaman Mim, Zakria A. Mohamed, S Shariff, Naveen Sharma, Rachel Cooney, Mohammed Nabil Quraishi, Tariq Iqbal

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseInternal medicineGastroenterologyUlcerative colitisCrohn's diseaseCalprotectinvitamin D deficiencyVitamin D and neurologyIncidence (geometry)Faecal calprotectinPopulationCohortDisease

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.014
GPT teacher head0.285
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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