The spectrum of sleep-disordered breathing symptoms and respiratory events in infants with cleft lip and/or palate
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of sleep-disordered breathing (SDB) symptoms and respiratory events during sleep in infants with cleft lip and/or palate (CL/P). DESIGN: Prospective observational study. SETTING: Cleft palate clinic, tertiary care paediatric hospital, before palate surgery. PATIENTS: Consecutive newborn infants with CL/P. MAIN OUTCOME MEASURES: Demographics, clinical history, sleep symptoms, facial measurement and polysomnography (PSG; sleep study) data. RESULTS: Fifty infants completed PSG at 2.7±2.3 months; 56% were male, and 30% had a clinical diagnosis of Pierre Robin sequence (PRS) or a syndrome. The majority of infants (75%) were reported to snore frequently or constantly, while 74% were reported to have heavy or loud breathing during sleep. The frequency of parent-reported difficulty with breathing during sleep was 10% for infants with isolated CL/P, 33% for those with syndrome, and 43% for PRS (χ(2) 16.1, p<0.05). All infants had an Obstructive-Mixed Apnoea-Hypopnoea Index (OMAHI) >1 event/h, and 75% had an OMAHI >3 events/h. Infants with PRS had higher OMAHI (34.3±5.1) than infants with isolated CL/P (7.6±1.2) or infants with syndromes (15.6±5.7, F stat, p<0.001). Multivariate analysis showed that PRS was associated with higher OMAHI (B 0.53±0.22, p=0.022), but the majority of the variance for SDB was unexplained (constant B 1.31±0.55, p=0.024). CONCLUSIONS: The results highlight that infants across the spectrum of CL/P have a high risk of SDB symptoms and obstructive respiratory events before palate surgery. Clinicians should enquire about symptoms of SDB and consider investigation with polysomnography in all infants with CL/P.
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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 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".