Sleep disruption in patients with active and treated endogenous Cushing’s syndrome
Bibliographic record
Abstract
CONTEXT: The hypothalamic-pituitary-adrenal axis is a critical regulator of circadian rhythm in humans. Impaired sleep adversely affects metabolic, emotional, and cognitive health. OBJECTIVE: To characterize sleep disturbances in patients with active and treated Cushing's syndrome (CS), and identify factors associated with impaired sleep in treated patients. DESIGN: Single-center cross-sectional study. METHODS: Patients with pituitary or adrenal CS enrolled in an observational study completed Nottingham Health Profile (NHP), CushingQoL, and Hospital Anxiety and Depression assessments. Cross-sectional analysis was conducted including patients with active and treated disease. RESULTS: 113 (94 female) patients with CS were included, 104 pituitary and 9 adrenal, with mean age at diagnosis of 43.9 ± 13.4 years. Mean and maximum duration of follow up was 5.1 and 23 years. Mean NHP sleep score was lower (i.e., improved) in patients with treated vs. active disease (29.6 ± 30.2 vs. 51.9 ± 30.9, p = 0.0005), as was CushingQoL sleep score (p = 0.015), but 41.5% of patients with treated disease stated they often or always had trouble sleeping. The proportion of treated vs. active patients taking medication for sleep, mood, or pain was not different. Neither NHP nor CushingQoL pain scores were lower in treated vs. active patients (p = 0.39 and 0.53). In patients with treated CS, anxiety and depression correlated with worse sleep scores. CONCLUSIONS: Patients with treated CS report improved sleep quality compared to those with active disease, but almost half of treated patients still report sleep challenges. The need for sleep medications, reported by one third of patients, was not different after CS treatment. Ongoing mood disturbances may play a role in persistent sleep disruption. Further work should focus on determinants of sleep impairments in treated CS patients.
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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 | 0.000 | 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) | 0.000 | 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 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".