Risk for Sleep-Disordered Breathing Among Children and Adolescents With Perinatal Stroke and the Impact on Mental Health, Quality of Life, and Caregivers
Bibliographic record
Abstract
BACKGROUND: Perinatal stroke is a leading cause of cerebral palsy and lifelong neurological disability and a potential risk factor for sleep-disordered breathing (SDB). METHODS: We examined the risk for SDB and associated psychosocial outcomes among 77 children with perinatal stroke. Caregivers completed validated questionnaires evaluating their children's sleep (Pediatric Sleep Questionnaire), mental health (Behavior Assessment System for Children, Third Edition [BASC-3]), and quality of life (Pediatric Quality of Life Inventory [PedsQL]) as well as the psychosocial impact on themselves (Parental Outcome Measure [POM]). RESULTS: The risk of SDB (SDB ratio of 0.33 or higher) in children with perinatal stroke was 34%. SDB symptomology was adversely associated with composite measures assessed by the BASC-3 including Externalizing and Internalizing Problems, Behavioral Symptoms Index, and Adaptability. SDB symptoms were associated with greater impairment in the following domains of the PedsQL: Daily Activities, Movement and Balance, Pain and Hurt, Fatigue, and Eating Activities. SDB symptomatology was also correlated with worse psychosocial impact and overall caregiver outcomes on the POM. CONCLUSIONS: In conclusion, SDB symptoms are prevalent in children with perinatal stroke and may be associated with adverse psychosocial outcomes for children and caregivers. As a treatable modifier of long-term outcomes, increased awareness, screening, and study are required.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".