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Integrative Assessment of Cephalometric and Polysomnographic Features in Paediatric Obstructive Sleep Apnea: A Cross-Sectional Study

Year: 2026

Type: article

Abstract: Objective: This study aimed to characterize pediatric patients with suspected sleep-disordered breathing (SDB) and evaluate whether cephalometric features and clinical indicators can predict obstructive sleep apnea (OSA) severity, as confirmed by polysomnography (PSG). Methods: A cross-sectional study was conducted among 228 children referred for sleep-related breathing concerns. Data collected included demographics, clinical symptoms (snoring, mouth-breathing, open-mouth posture, malocclusion), and cephalometric measurements (ANB, SNA, SNB angles, and nasopharyngeal soft tissue ratio). Overnight PSG assessed apnea-hypopnea index (AHI), rapid eye movement (REM) sleep proportion, and oxygen saturation. Children were classified as OSA-positive (AHI > 1 event/h) or non-OSA. Statistical analyses included t-tests, ANOVA, Pearson correlations, logistic regression, receiver operating characteristic (ROC) analysis, principal component analysis (PCA), and decision-tree modelling to identify predictors and stratify risk. Results: (r = -0.47). Habitual snoring (OR = 4.3), mouth-breathing (OR = 2.6), and incomplete lip closure (OR = 3.1) independently predicted OSA. A combined clinical-cephalometric model achieved an AUC of 0.86. PCA revealed distinct anatomical-functional clusters, and a decision-tree model using ANB > 5°, tissue ratio ≥ 0.68, and snoring classified OSA with 82% sensitivity and 78% specificity. Conclusion: Pediatric OSA is strongly linked to craniofacial imbalance, adenoidal hypertrophy, and functional symptoms. Cephalometric parameters, particularly ANB angle and nasopharyngeal soft tissue ratio, combined with simple clinical indicators, offer reliable, low-cost screening for early OSA detection where PSG access is limited.

Source: Nature and Science of Sleep

DOI: 10.2147/nss.s574045