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Original Article

Polysomnographic features of children with obesity: body mass index predict severe obstructive sleep apnea in obese children?

Rungrat Sukharom¹, Prakarn Tovichien^1,2  , Kanokporn Udomittipong¹, Pinyapach Tiamduangtawan¹, Wattanachai Chotinaiwattarakul^2,3

¹Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
²Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
³Siriraj Sleep Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand

Correspondence Prakarn Tovichien ,Email: prakarn.tov@mahidol.edu

Received: January 10, 2024; Revised: June 28, 2024   Accepted: July 6, 2024.

Abstract

Background
Few studies have explored the polysomnographic features of children with obesity.
Purpose
This study aimed to explore the demographic and polysomnographic features of obese children and determine whether body mass index (BMI) could predict severe obstructive sleep apnea (OSA).
Methods
This cross-sectional study recruited obese children who underwent diagnostic polysomnography between January 2019 and March 2022. We explored demographic and anthropometric measures as well as polysomnographic abnormalities among them. We used receiver operating characteristic curves and logistic regression analyses to determine the optimal cut-off values of anthropometric variables for predicting severe OSA.
Results
A total of 132 children with obesity (76.5% male; mean age, 12.5 ± 3.2 years) were included. Severe OSA was identified in 64 (48.5%) children. Desaturation was observed in 59.8%, while 23.5% had hyperarousal, 20.5% had sleep-related hypoventilation, 60.6% had positional OSA, 40.2% had REM-related OSA, and 5.0% had obesity hypoventilation syndrome. Among them, BMI (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.05–1.17; p < 0.001), neck circumference (OR, 1.15; 95% CI, 1.07–1.25; p < 0.001), and waist circumference (OR, 1.04; 95% CI, 1.02–1.07; p = 0.001) were significantly associated with severe OSA. These findings suggest a cut-off BMI for predicting severe OSA of greater than 29.2 kg/m2 with 81.3% sensitivity and 48.5% specificity.
Conclusion
Severe OSA is common in children with obesity; thus, we recommend screening children with obesity and a BMI greater than 29.2 kg/m2 for severe OSA.

Keywords :Pediatric obesity, Sleep apnea syndromes, Polysomnography, Sleep