Longitudinal Course of Sleep Disturbance and Relationship with Itch in Adult Atopic Dermatitis in Clinical Practice
Bibliographic record
Abstract
Background: Sleep disturbance (SD) is common in atopic dermatitis (AD). We examined the longitudinal course of SD and relationship with itch in AD patients. Methods: A prospective, dermatology practice–based study was performed (N = 1295) where patients were assessed at baseline and follow-up visits. Results: At baseline, 16.9% of the patients had severe SD based on Patient-Reported Outcomes Information System (PROMIS) SD T scores, 19.1% had difficulty falling asleep, 22.9% had difficulty staying asleep, and 34.2% had SD from AD. A total of 31.4% of the patients with difficulty staying asleep at baseline experienced persistent difficulties (for 3 follow-ups or more). Only 17.7% with baseline difficulty falling asleep had persistent disturbance. Despite significant fluctuation in sleep scores, SD generally improved over time. Of the patients facing baseline SD from AD, 31.5% experienced SD at the first visit, and only 12.3% experienced persistent SD at the second follow-up visit. Predictors of increased PROMIS sleep-related impairment T scores over time included baseline PROMIS sleep-related impairment T scores (0.74 [0.68–0.80]), having 3 to 6 nights of itch (2.22 [0.85–3.59]), and severe/very severe AD (4.40 [2.60–6.20]). Conclusions: A significant proportion of adult AD patients, particularly those with moderate-severe AD and frequent itch, had baseline SD. Although sleep scores generally improved over time, many patients experienced a fluctuating or persistent course.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".