Can symptoms, physical status, and OSA-18 questionnaire results identify children with obstructive sleep apnea (OSA) in a clinical setting?
The clinical prediction model created for this study was found to be useful in identifying pediatric patients at high-risk for OSA among those with sleep disturbances.
Explore this issue:October 2016
Background: Because untreated OSA in children is associated with adverse cardiovascular, neurocognitive, and somatic growth consequences, physicians highly prioritize identifying children with OSA. Previous studies have suggested that integrating symptoms, physical examination data, and questionnaire results might be effective in screening children at risk of OSA, but no clinical point-based prediction model has been developed.
Study design: Single institutional, cross-sectional study of 310 children aged 2 to 18 years with symptoms of OSA.