Impact of Upadacitinib Induction and Maintenance Therapy on Health-related Quality of Life, Fatigue, and Work Productivity in Patients with Moderately-to-severely Active Crohn’s Disease
Bibliographic record
Abstract
BACKGROUND AND AIMS: Quality of life in patients with active Crohn's disease may be significantly reduced. We evaluated the effects of upadacitinib induction and maintenance therapy on fatigue, quality of life, and work productivity in the phase 3 trials U-EXCEL, U-EXCEED, and U-ENDURE. METHODS: Clinical responders to upadacitinib 45 mg in U-EXCEL and U-EXCEED induction trials were re-randomised 1:1:1 to upadacitinib 30 mg, 15 mg, or placebo for 52 weeks of maintenance in U-ENDURE. Clinically meaningful improvements in Inflammatory Bowel Disease Questionnaire [IBDQ] response, IBDQ remission, Functional Assessment of Chronic Illness Therapy-Fatigue [FACIT-Fatigue], and Work Productivity and Activity Impairment were evaluated. Percentages of patients achieving clinically meaningful improvements were assessed at induction Weeks 4 and 12 and maintenance Week 52. CLINICAL REGISTRATION NUMBER: U-EXCEED induction trial [NCT03345836], U-EXCEL induction trial [NCT03345849], U-ENDURE maintenance trial [NCT03345823]. RESULTS: Analysis included 1021 and 502 patients assessed at induction and maintenance, respectively. In U-EXCEL, greater improvements [all p ≤ 0.001] in IBDQ response [71.0% vs 50.2%], IBDQ remission [44.2% vs 23.7%], and FACIT-Fatigue [42.0% vs 27.0%] were observed in upadacitinib-treated patients versus placebo at Week 4. Improvements in IBDQ response, IBDQ remission, and FACIT-Fatigue were similar or greater at Week 12. Clinically meaningful improvement in overall work impairment [52.1% vs 38.1%, p ≤ 0.05] was demonstrated at Week 12. Similar results were observed in U-EXCEED. Improvements were sustained through 52 weeks of upadacitinib maintenance treatment. CONCLUSIONS: In patients with active Crohn's disease, upadacitinib treatment relative to placebo significantly improved fatigue, quality of life, and work productivity as early as Week 4. These effects were sustained through 52 weeks of maintenance.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".