SLEEP DISORDERS IN RELAPSING-REMITTING MULTIPLE SCLEROSIS PATIENTS
Bibliographic record
Abstract
OBJECTIVE: The aim: Our study aimed at evaluating the relationships between sleep disorders (SD), cognitive impairment (CI), anxiety and depression in patients with relapsing-remitting multiple sclerosis (RRMS). PATIENTS AND METHODS: Materials and methods: One hundred and five patients with RRMS (80 females and 25 males) aged from 22 to 67 years (mean age: 41,8±10,7; EDSS:3,5±1,6; disease duration (DD): 10,3±8,5 years) were enrolled into the study. All participants completed questionnaires on sleep (the Pittsburgh Sleep Quality Index /PSQI), cognitive functions (The Montreal Cognitive Assessment /MoCA), anxiety (Hamilton Anxiety Rating Scale /HAM-A), depression (Beck Depression Inventory/ BDI). RESULTS: Results: According to PSQI score the patients were divided into two groups: with (n=42) and without SD (n=63). The patients with SD were older (45,36±1,66 vs 39,41±1,27, p=0.005), had higher EDSS score (3,98±0,26 vs 3,14±0,19, p=0,008), BDI (13,79±1,14 vs 8,96±0,86, p=0,0009) and HAM-A (24,52±1,42 vs 16,56±0,99, p<0,0001) scales compared with patients without SD. The frequency of anxiety (p=0,0034) and depression (p=0,038) was significantly higher in RRMS patients with compared to those without SD. No significant difference was found in gender, DD and MoCA score. In patients with SD significant negative correlation between MoCA and BDI score (r = -0,42, p<0,005) was found. In the group of patients without SD significant negative correlation between MoCA and EDSS (r = -0,27, p=0,03), MoCA and BDI (r = -0,26, p=0,043),) MoCA and HAM-A (r = -0,25, p=0,041) score was detected. CONCLUSION: Conclusions: Insomnia type SD in RRMS patients were associated with older age, higher EDSS score and presence of anxiety and depression.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".