Analysis of possible risk factors for the severity of paediatric obstructive sleep apnoea syndrome

PURPOSE: This study aimed to determine the effect of body mass index (BMI) percentile, asthma, sex, and age on the paediatric obstructive sleep apnoea (OSA) severity. Furthermore, to determine the possible predictive role of the BMI percentile and age in severe OSA. METHODS: This retrospective study included 921 children aged 2–18 years diagnosed with OSA by polysomnography. Analysis of Covariance (ANCOVA), Spearman’s correlation, Receiver Operating Characteristics (ROC) analyses were performed and area under the curve (AUC) was determined. RESULTS: We observed a significant association between a higher BMI percentile and the severity of OSA (p < 0.001, ρ = 0.15). The correlation also was significant under (p = 0.007, ρ = 0.11) and over 7 (p = 0.0002, ρ = 0.23) years of age. There was no association between the severity of OSA and the presence of asthma (p = 0.9) or sex (p = 0.891), respectively. Age was significantly related to OSA severity (p = 0.01, ρ = 0.08). Although both the BMI percentile (0.59 AUC [0.54–0.65]) and age (0.58 AUC [0.52–0.63]) predicted severe OSA, according to the sensitivity and specificity values of the ROC curve, the association presents a slight clinical relevance. CONCLUSIONS: OSA severity is determined by the BMI percentile and age in children; however, these factors are unsuitable for predicting severe OSA in clinical practice. Based on our results, obesity is also a significant risk factor for OSA in younger children. Our study highlights that older, overweight, and obese children have a higher risk for severe OSA.