Feasibility of split night polysomnography in children to diagnose and treat sleep related breathing disorders
Bibliographic record
Abstract
STUDY OBJECTIVES: The gold standard test for diagnosis of sleep related breathing disorders (SRBD) in children is diagnostic polysomnography (PSG). This is often followed by a titration PSG to identify optimal non-invasive ventilation (NIV) pressures. Access to pediatric PSG is limited, resulting in delays to diagnosis and initiation of treatment. Split-night PSGs (snPSG) combine a diagnostic and titration PSG into a single night study. Although described in adults, the pediatric literature on this topic is sparse. The objective of this study was to describe a large cohort of children who utilized snPSG to diagnose SRBD and initiate NIV. METHODS: This multi-center study analyzed clinical and PSG data from children with SRBD who had initiated NIV following a snPSG. Data from diagnostic and titration portions of the snPSG were analyzed separately. RESULTS: The study included 165 children who initiated NIV following a snPSG. The majority of children (61.8%) were initiated on NIV for upper airway obstruction. The population included children with medical complexity, including those with central nervous system disorders (17.0%), musculoskeletal/neuromuscular disorders (12.1%), and cardiac disorders (1.2%). Moderate to severe SRBD was present in 87.2% of children with a median apnea-hypopnea index (AHI) of 16.6 events/hour (IQR: 8.2, 38.2). The median AHI was reduced on treatment to 7.6 events/hour (IQR: 3.3, 17.1), with fewer subjects meeting criteria for severe SRBD. CONCLUSIONS: snPSG is technically feasible in children, facilitating the diagnosis of SRBD and initiation of NIV, even in those with high medical complexity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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 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".