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S1085 The Hidden Burden of Fatigue in Moderate-to-Severe Crohn’s Disease and Ulcerative Colitis: Results From the Communicating Needs and Features of IBD Experiences (CONFIDE) Survey

2024· article· en· W4403724748 on OpenAlexaffabout
Stefan Schreiber, Alison Potts Bleakman, Theresa Hunter, Marla C. Dubinsky, David T. Rubin, Remo Panaccione, Toshifumi Hibi∥, Cem Kayhan, Tommaso Panni, Angelo D. Favia, Eoin Flynn, Christian Atkinson, Simon Travis

Bibliographic record

VenueThe American Journal of Gastroenterology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineUlcerative colitisCrohn's diseaseDiseaseCrohn diseaseIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction: The Communicating Needs and Features of Inflammatory bowel disease (IBD) Experiences (CONFIDE) study explored experiences and impact of Crohn’s disease (CD)/Ulcerative colitis (UC)-related symptoms in Europe (EU5: France, Germany, Italy, Spain, and UK), the United States (US) and Japan. These analyses focus on EU5 and US patients (pts). Methods: Online, quantitative, cross-sectional surveys were conducted among pts with moderate-to-severe CD/UC, defined by previous treatment, steroid use, and/or hospitalization. Fatigue over past 7 days was assessed using Functional Assessment of Chronic Illness Therapy–Fatigue (FACIT–F) scale (range: 0–52). Manitoba IBD Index assessed pt-reported disease activity in last 6 months (6-level scale); disease was considered active if constantly-to-occasionally experienced symptoms (responses 1–4), and inactive if infrequent/absent (responses 5/6). Pt-reported impact of CD/UC on energy levels was reported on a scale of 1 (no impact)–7 (high impact). Results: Total 547 EU5 (55.4% male, mean age: 38.0 years) and 215 US (54.9% male, 40.9 years) pts with CD and 556 EU5 (57.4% male, 38.9 years) and 200 US (61.5% male, 40.4 years) pts with UC completed the surveys. Overall, 34.2% EU5 and 35.8% US pts with CD, and 20.9% EU5 and 27.5% US pts with UC reported currently (in the last month) experiencing fatigue; overall >80% indicated that CD/UC negatively impacted their energy levels: CD, EU5: 80.1%, US: 84.2%; UC, EU5: 81.1%, US: 88.0%. Mean±SD FACIT-F scores: 27.4±11.3 and 26.8±10.8 for EU5 and US pts with CD, and 29.4±10.0 and 26.2±11.3 for EU5 and US pts with UC, respectively. FACIT-F scores among pts currently experiencing fatigue: 24.3±10.8 and 26.1±10.9 for EU5 and US pts with CD, and 26.0±10.6 and 24.5±11.5 for EU5 and US pts with UC. Of those currently experiencing fatigue, most pts with CD reported active disease (CD, EU5: 92.5%, US: 93.5%; UC, EU5: 92.2%, US: 98.1%). Among pts reporting ever experiencing fatigue (CD, EU5: 45.2%, US: 45.6%; UC, EU5: 30.6%, US: 40.0%), most reported experiencing fatigue at least once a week (CD, EU5: 67.5%, US: 79.6%; UC, EU5: 66.4%, US: 70.0%). Conclusion: EU5 and US pts with CD/UC reported severe fatigue (FACIT-F scores < 30), indicating major fatigue burden, which is clearly associated with pt-reported active disease. Both CD and UC negatively impact energy levels for most pts. The findings underscore the value of active fatigue management in CD/UC to improve pts’ quality of life.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0020.000

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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
Published2024
Admission routes2
Has abstractyes

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