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Phenotypic and Polysomnographic Features of Children With Very Severe and Extreme OSA
Dhillon R Advano1, Seckin O Ulualp1,2, Anna Wani3
1Department of Otolaryngology-Head and Neck Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Insights
Extreme pediatric obstructive sleep apnea (OSA) is more common in older children with Class 3 obesity. Oxygenation metrics are key indicators differentiating extreme OSA from very severe OSA.
Area of Science:
- Pediatric Sleep Medicine
- Respiratory Medicine
- Clinical Pediatrics
Background:
- Obstructive sleep apnea (OSA) is a common sleep disorder in children.
- Severe forms of pediatric OSA require accurate characterization for effective management.
- Differentiating between extreme and very severe OSA is crucial for understanding disease impact.
Purpose of the Study:
- To compare phenotypic and polysomnography (PSG) features between extreme and very severe pediatric obstructive sleep apnea (OSA).
- To identify key parameters that distinguish these two severe OSA categories in children.
Main Methods:
- Retrospective review of pediatric patients (<18 years) diagnosed with extreme OSA (apnea-hypopnea index [AHI] >100) or very severe OSA (AHI 30-100).
- Data collection included demographics, comorbidities, BMI, tonsil size, and PSG parameters.
- Statistical comparisons and discriminative modeling were employed to identify differentiating factors.
Main Results:
- Extreme OSA was associated with older age (median 9.9 vs. 7.6 years) and higher prevalence of Class 3 obesity (43% vs. 29%).
- Children with extreme OSA exhibited more severe hypoxemia, indicated by lower oxygen saturation nadir (69% vs. 76%) and mean saturation (93.5% vs. 96%).
- Hypoxemia indices significantly improved the discrimination between extreme and very severe OSA (AUC 0.81).
Conclusions:
- Extreme pediatric OSA is more prevalent in older children and those with Class 3 obesity.
- Oxygenation metrics derived from polysomnography are strongly associated with extreme OSA severity.
- These findings highlight the importance of monitoring oxygenation in severe pediatric OSA cases.
Objective:
To characterize the phenotypic and polysomnography (PSG) features associated with extreme versus very severe pediatric obstructive sleep apnea (OSA).
Methods:
Charts of children under 18 years diagnosed with extreme OSA (apnea-hypopnea index [AHI] > 100) or very severe OSA (AHI 30-100) were retrospectively reviewed. Data collected included demographics, comorbidities, body mass index (BMI) category, tonsil size, and PSG parameters. Groups were compared using χ2 and Wilcoxon rank-sum tests, with p < 0.05 considered significant. Discriminative modeling was performed to differentiate between severity groups.
Results:
358 children were included (63% male): 288 with very severe OSA and 70 with extreme OSA. Race distribution was similar between groups. Children with extreme OSA were older (median 9.9 [IQR 6.3-13.8] vs. 7.6 [4.6-12.6] years; p = 0.03) and more likely to have Class 3 obesity (≥ 140% of the 95th percentile) (43% vs. 29%; p = 0.02). Extreme OSA was associated with more severe hypoxemia, including lower median oxygen saturation nadir (69% [IQR 63-77] vs. 76% [67-82]; p < 0.001) and lower mean oxygen saturation (93.5% [91-95] vs. 96% [95-97]; p < 0.001). No differences were observed in sex, ethnicity, tonsil size, comorbidities, or hypercapnia. Models using anatomic and demographic variables alone showed limited discrimination (AUC 0.55-0.63). Inclusion of hypoxemia indices markedly improved performance (AUC 0.81), with minimal change after adding anatomic and comorbidity variables (AUC 0.82).
Conclusions:
Extreme OSA was more common among older children and those with class III obesity. Among phenotypic and PSG parameters, oxygenation metrics were associated with extreme OSA.
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