Abstract TMP47: Sleep and Endocrine Disturbances Are Associated With Poorer Outcomes During the Post-Acute Phase of Stroke Recovery
Bibliographic record
Abstract
Introduction: Sleep disturbances, including decreases in slow wave sleep (SWS) are common following stroke. In this study, we sought to identify the implications of decreased slow wave sleep on endocrine function and cognitive/outcome measures in the post-acute phase of stroke recovery. Methods: Adult stroke patients (n=44) were assessed via overnight polysomnography (PSG). The mean age was 50 ± 1.8 years and mean latency from stroke was 126 ± 16 days. Sleep measures included total sleep time (TST), sleep and REM latency, percent time in sleep stages, apnea/hypopnea index (AHI), wake after sleep onset (WASO), and arousal index. Hormone levels were analyzed within 10 days of PSG. The primary outcome measures were as follows: California Verbal Learning Test (CVLT), Montreal Cognitive Assessment (MoCA), Trails A and B, Mayo Portland Adaptability Inventory (MPAI), and NeuroQOL. Sex differences were also analyzed. Results: Age and BMI were positively correlated with subjective daytime sleepiness using the Epworth Sleepiness Scale (p<.05); however, while BMI was positively correlated with the arousal index (p<.01), it was not correlated with AHI. TST was negatively correlated with subscales of the MPAI (p<.05). Time spent in SWS was associated with decreases in self reported anxiety, fatigue, and sleep disturbances on the NeuroQOL (p<.01). Increases in SWS were also correlated with higher scores on the MoCA (p<.05). Increases in sex hormone binding globulin (SHBG) were associated with decreases in TST (p<.05) and increased percent WASO (p<.01). Additionally, SHBG was negatively associated with the CVLT list B (p<.05). For men, SHBG is positively associated with the number of repetitions on the CVLT (p<.01). As expected, men had a higher arousal index and higher AHI than women. Conclusion: Time spent in SWS is associated with better subjective well-being and improved performance on cognitive measures. Hormone levels, especially SHBG, may serve as early biomarkers for sleep disturbances after stroke and are associated with negative performance on some measures of cognition.
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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) | 0.001 | 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 | 0.000 |
| 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".