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Record W4391873727 · doi:10.1093/jcag/gwad061.242

A242 EPIDEMIOLOGICAL ASPECTS, RISK FACTORS, AND CUMULATIVE PREVALENCE OF EXTRAINTESTINAL MANIFESTATIONS IN INFLAMMATORY BOWEL DISEASE: RESULTS FROM A 7,150 PATIENTS’ COHORT IN A TERTIARY CARE CENTER

2024· article· en· W4391873727 on OpenAlexaffabout
Ellina Lytvyak, A Montano Loza, Brendan P. Halloran, Frank Hoentjen, Andrew L. Mason, Farhad Peerani, Karen Wong, Richard N. Fedorak, Levinus A. Dieleman

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEpidemiologyMedicineInflammatory bowel diseaseTertiary careCohortCenter (category theory)DiseaseCumulative riskInternal medicineCohort study

Abstract

fetched live from OpenAlex

Abstract Background Canada is among the countries with a high burden of inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC). Extraintestinal manifestations (EIMs) incorporate a spectrum of systemic IBD-accompanying conditions that are associated with a poorer quality of life, higher disease activity, and increased need for IBD-related surgery and treatment escalation. Aims We aimed to establish the all-time and cumulative prevalence of EIMs in a large cohort of IBD patients and assess the risk factors associated with EIMs in IBD. Methods We conducted a retrospective cohort study of 7,150 IBD patients followed at the Division of Gastroenterology, University of Alberta, diagnosed between 1954–2022, with 159,026 person-years follow-up. Data were obtained via manual chart review, from electronic medical records and administrative reporting systems. The EIMs included ophthalmological, musculoskeletal, urogenital, hepatobiliary, dermatological, and pulmonary. Univariate and multivariate logistic regression models and cumulative prevalence curves with the Kaplan-Meier analysis were used. Results Data of 3,910 CD and 3,240 UC patients (50.3% females, median age 48.0 (range 17-98 y.o.)) were analyzed. Over one-third of IBD patients (34.0%) had at least one EIM. The EIMs prevalence did not differ significantly between CD and UC (34.8% vs. 33.0%; p=0.112). In CD patients, the most common EIM was scleritis/episcleritis (10.9%), followed by nephrolithiasis (10.1%) and axial spondyloarthritis (7.3%). The UC patients most frequently had scleritis/episcleritis (10.3%), primary sclerosing cholangitis (8.4%) and nephrolithiasis (7.8%). In CD patients, age at diagnosis ≥40 y.o. (OR 1.77, 95%CI 1.33-2.37), disease duration ≥20 years (OR 2.28, 95%CI 1.62-3.21) and C-reactive protein≥8.0 mg/L (OR 1.46, 95%CI 1.01-2.12) were independent risk factors for EIMs (Fig.1a). Among UC patients, the following EIM risk factors were identified: disease duration ≥20 years (OR 1.63, 95%CI 1.19-2.22), obesity (OR 1.40, 95%CI 1.04-1.89), vitamin B12 deficiency (OR 1.64, 95%CI 1.12-2.40), and need for IBD surgery (OR 1.63, 95%CI 1.13-2.34) (Fig.1b). Cumulative probability of EIMs in CD vs. UC was 8% vs. 12%, at 10 years, 27% vs. 38% at 20 years, and 51% vs. 59% at 30 years since diagnosis (Log-rank, pampersand:003C0.001) (Fig.1c). Conclusions Over one-third of IBD patients have at least one EIM and their pattern and cumulative prevalence varies substantially between CD and UC. It is important to be aware of the EIMs’ risk factors to recognize them early and provide adequate management aiming to decrease morbidity and mortality and improve the quality of life of IBD patients. Fig. 1a. Associations between demographic, phenotypic and clinical IBD features and EIMs among CD patients - results of the multivariate logistic regression analysis. Fig. 1b. Associations between demographic, phenotypic and clinical IBD features and EIMs among UC patients - results of the multivariate logistic regression analysis. Fig 1c. Cumulative prevalence of EIMs in CD (grey line) vs. UC (pink line). Funding Agencies None

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)0.002
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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.225
Teacher spread0.219 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

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