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Record W4406687852 · doi:10.1093/ecco-jcc/jjae190.0819

P0645 CDAI underestimates disease activity in overweight patients with Crohn’s Disease when compared to endoscopic assessment

2025· article· en· W4406687852 on OpenAlexaboutno aff
Iona Campbell, E Brownson, A A Wirz, John Paul Seenan, Jonathan Macdonald, Konstantinos Gerasimidis

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCrohn's diseaseOverweightDiseaseInternal medicineColonoscopyInflammatory bowel diseaseGastroenterologyObesity

Abstract

fetched live from OpenAlex

Abstract Background The Crohn’s Disease Activity Index (CDAI) score was developed in response to the need for a numerical index to describe disease activity in Crohn’s Disease (CD), to allow a uniform approach to clinical disease assessment.1 An important component of CDAI is body weight, with higher scores allocated to those below ideal body weight. However CD is no longer typically associated with low body weight; in a recent multicentre study 29% of the CD patients were overweight, and 18% obese.2 CDAI may therefore not perform as well in the overweight patient with CD. We aimed to assess the correlation between CDAI and endoscopic assessment using the Simple Endoscopic Score in Crohn’s Disease (SES-CD) in a cohort of CD patients undergoing- ileocolonoscopy for evaluation of disease activity. Methods Patients with a known diagnosis of CD attending for ileocolonoscopy were identified prospectively. SES-CD was recorded, and clinical assessment and blood sampling to calculate CDAI score was carried out. Demographics including sex and disease phenotype (using Montreal classification) were collected. Correlations between groups were analysed using Spearman’s rank and paired t-tests. Results 52 patients were included, of whom 27 were female. Three patients had isolated ileal disease, 27 isolated colonic disease, and 22 ileo-colonic disease. Median BMI was 23.6 (21.5-27.7). Median CDAI was 141 (IQR 66.8-207.8). Median SES-CD was 4 (IQR 0-12). A positive correlation was demonstrated between CDAI and SES-CD (p=<0.001, r=0.217). This remained significant when grouped by disease location. 18 patients were overweight (BMI of ≥25). There was no significant difference in the mean SES-CD between those with a BMI <25 and ≥25. Despite the two groups having comparable levels of disease activity at colonoscopy, the CDAI was significantly higher in the BMI <25 group (p=0.05). There were ten patients in the obese category (BMI ≥30). This group demonstrated significantly more active disease at colonoscopy than those with a BMI <30 with a median SES-CD of 14, but there was no significant difference in CDAI between the two groups. Conclusion These results confirm a positive correlation between CDAI and SES-CD in patients with CD in our cohort. However, despite having comparable median SES-CD scores, those with a normal BMI had significantly higher CDAI score than those who are overweight. This suggests that CDAI may under-estimate disease activity in overweight patients with CD, calling in to question the future role of CDAI as both a clinical and research tool given increasing rates of obesity globally. Further analysis is required with a larger, multinational patient cohort to confirm these findings. References 1.Best WR, Becktel JM, Singleton JW, Kern F Jr. Development of a Crohn’s disease activity index. National Cooperative Crohn’s Disease Study. Gastroenterology. 1976;70(3):439-444. 2.Lomer MCE, Cahill O, Baschali A, et al. A multicentre Study of Nutrition Risk Assessment in Adult Patients with Inflammatory Bowel Disease Attending Outpatient Clinics. Ann Nutr Metab. 2019;74(1):18-23. doi:10.1159/000495214

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)0.001
metaresearch head score (Gemma)0.006
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.258
Teacher spread0.252 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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