Sleep Disturbances and Interleukin 6 Receptor Inhibition in Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: Interleukin 6 (IL-6)-mediated interactions have been associated with sleep disturbances in healthy subjects. In this pilot study we examined whether administration of the IL-6 receptor antagonist tocilizumab in patients with rheumatoid arthritis (RA) affects sleep disturbances. METHODS: Fifteen patients (13 women) with sleep disturbances at baseline received 6 monthly infusions of tocilizumab 8 mg/kg for moderately or severely active RA. Sleep quality was assessed by Pittsburgh Sleep Quality Index (PSQI), daytime sleepiness by Epworth Sleepiness Scale, disease activity by the 28-joint Disease Activity Score-erythrocyte sedimentation rate, functional disability by Health Assessment Questionnaire Disability Index (HAQ-DI), and fatigue by the Functional Assessment of Chronic Illness Therapy (FACIT-Fatigue Scale; FFS) at baseline and first, second, third, and sixth month of treatment. Medications used before enrollment remained unchanged during followup. RESULTS: Sleep quality improved and daytime sleepiness decreased significantly at first-month assessment (p < 0.00001 and p < 0.004, respectively, by repeated measurement analysis) compared to baseline, and these changes became more evident through 6 months. Disease activity decreased, fatigue decreased, and functional status improved significantly. Changes in PSQI score over time were not associated with the corresponding changes in DAS28-ESR (r = 0.37, p = 0.17), but correlated significantly with HAQ-DI changes (r = 0.60, p = 0.02) and marginally with changes in FFS scores (r = -0.46, p = 0.08). CONCLUSION: Improvement of sleep quality after tocilizumab treatment in patients with RA does not appear to directly result from decreased disease activity, further suggesting that aberrant IL-6 regulation is associated with sleep disturbances.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".