Hypersomnolence and Sleep Disorders in a Rheumatic Disease Patient Population
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: There is increasing awareness of the importance of sleep in health maintenance. Our primary objective was to evaluate prevalence of excess daytime sleepiness in a rheumatic disease patient population. Secondary objectives included evaluation of prevalence of abnormal sleep quality and primary sleep disorders. METHODS: Consecutive Rheumatology clinic patients were invited to participate in a self-administered questionnaire study. Included were measures for pain, fatigue, and global functioning, modified Health Assessment Questionnaire, Epworth Sleepiness Score (ESS), Pittsburgh Sleep Quality Index (PSQI), Berlin Score, diagnostic criteria for restless legs syndrome (RLS), Centre for Epidemiologic Studies Depression score (CES-D), stress scores, and the short form-36 quality of life instrument. RESULTS: Of 507 consecutive patients invited to participate, 423 agreed. Mean age was 52.1 years; 26% were male. Prevalence of excessive sleepiness (ESS >10) was 25.7%, abnormal sleep quality (PSQI >5) was 67.3%, high risk for obstructive sleep apnea Berlin scores were present in 35.2% and 24% of participants met criteria for RLS. Significantly worse pain, fatigue, global function, short form-36 summary scores, modified Health Assessment Questionnaire, depression, and stress scores were present in patients with higher ESS and PSQI scores. No significant differences in sleep assessment scores were observed between specific rheumatic disease groups. CONCLUSIONS: Our findings suggest a high prevalence of unrecognized hypersomnolence, poor sleep quality, and primary sleep disorders in rheumatology patients. We suggest evaluation of sleep health be incorporated into standard clinical assessments of all rheumatology patients. We would recommend this evaluation include the ESS and the criteria for RLS.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it