OSAS in children: clinical and polysomnographic respiratory profile
Bibliographic record
Abstract
UNLABELLED: Obstructive sleep apnea and hypopnea syndrome in children (osas) has an estimated prevalence of up to 3% and can be associated with neurocognitive and behavioural abnormalities, and also cardiovascular complications. This study may help pediatricians, who are unaware of the problem, to recognize osas. STUDY DESIGN: series of cases. AIM: to describe the clinical characteristics and polysomnographic respiratory findings in a population of children with obstructive sleep apnea and hypopnea syndrome referred to the sleep laboratory from january 2002 up to july 2003. METHODS: we studied 93 patients between 2 and 10 years of age with polysomnographic diagnosis of obstructive sleep apnea and hypopnea syndrome. Age, gender, racial group and questions about the childrens health and sleep related disorders were evaluated. Apnea-hypopnea index, oxyhemoglobin desaturation, and arousal index were evaluated too. RESULTS: males represented 61.3%, With a mean age of 5.2+/-2.1 (Years-old). The complaints that most commonly lead to the exams were snoring in 24.7% And restless sleep in 24.7%. Associated medical conditions frequently reported were allergic rhinitis (98.9%) And adenoid hypertrophy (50.6%). Mild apnea was found in 66%. The mean and sd of spo2 nadir was 89.1+/-3.5% And the mean and sd of the number of arousals was 8.4+/-3.5/Hour of sleep. CONCLUSION: the results suggest the possibility that obstructive sleep apnea and hypopnea syndrome should be suspected in children with allergic diseases and adenoid and tonsil hypertrophy with snoring and restless sleep complaints.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".