Determinants of fatigue in Crohn’s disease patients
Bibliographic record
Abstract
OBJECTIVE: Crohn's disease (CD) is often associated with severe fatigue. Little is known about patients who may be at the highest risk for fatigue. Therefore, we assessed the disease phenotype and factors related to fatigue in the presence of CD in two different populations. METHODS: Patients presenting at the clinic of a referral hospital and a general hospital were included in the study. They completed questionnaires including the Checklist Individual Strength, the Hospital Anxiety and Depression Scale, a questionnaire on disease activity, and one on medication use. The Montreal classification and sociodemographics were obtained from medical records. Hemoglobin and C-reactive protein levels were measured at baseline. RESULTS: In total, 425 patients were included (276 women, mean age: 42 years). Compared with patients from the general hospital, patients at the referral hospital had worse disease activity, worse disease behavior, more bowel resections, and a higher percentage of side-effects to medication and use of anti-tumor necrosis factor (TNF). The prevalence of fatigue was significantly higher in the referral patients compared with the general patients (65.7 vs. 52.5%, respectively; P=0.01). Similar results were found in patients in remission (53.3 vs. 40.5%; P=0.061). Factors related to fatigue were the use of anti-TNF at baseline, side-effects to 5-aminosalicylic acid, disease activity, female sex, and shorter disease duration. Furthermore, we found improvement in fatigue and a trend toward lower disease activity after 1 year of anti-TNF use. CONCLUSION: A high percentage of CD patients suffer from fatigue. As a more aggressive phenotype seems to be associated with more severe fatigue and patients in remission still suffer from fatigue, a multidimensional approach for fatigue is warranted 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".