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Published on: December 6, 2016
Screening Severe Obstructive Sleep Apnea in Children with Snoring
Hui-Shan Hsieh1,2, Chung-Jan Kang1,2,3, Hai-Hua Chuang3,4,5
1Sleep Center, Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan 33305, Taiwan.
Insights
Efficiently screen children for severe obstructive sleep apnea (OSA) using home sleep pulse oximetry and adenoidal-nasopharyngeal ratio (ANR). This combination offers a more optimal approach than traditional methods for diagnosing OSA in pediatric patients who snore.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
- Diagnostic Accuracy
Background:
- Obstructive sleep apnea (OSA) significantly impacts children's health.
- Early and efficient screening for severe OSA in snoring children is crucial.
- Standard polysomnography is time-consuming and resource-intensive.
Purpose of the Study:
- To compare the predictive performance of clinical variables, home snoring sound analysis, and home sleep pulse oximetry for severe OSA in children.
- To identify the most effective screening tools for severe pediatric OSA.
- To validate a predictive model for severe OSA in a pediatric cohort.
Main Methods:
- Retrospective cross-sectional study involving two cohorts of children with habitual snoring.
- Univariate and multivariate logistic regression analyses were used to assess predictors of severe OSA.
- Key variables included 3% oxygen desaturation index (ODI3), adenoidal-nasopharyngeal ratio (ANR), tonsil size, and snoring sound energy.
- A predictive model combining ODI3, tonsil size, and ANR was developed and externally validated.
Main Results:
- Home sleep pulse oximetry (ODI3 ≥ 6.0 events/h) and adenoidal-nasopharyngeal ratio (ANR ≥ 0.78) were significant predictors of severe OSA.
- A combined model of ODI3, tonsil size, and ANR demonstrated high sensitivity (91%) and specificity (94%) in Study 1.
- External validation in Study 2 showed a 76% accuracy for the combined model.
- Home sleep pulse oximetry combined with ANR showed superior screening performance compared to ANR and tonsil size alone.
Conclusions:
- Home sleep pulse oximetry, particularly the 3% oxygen desaturation index (ODI3), is a valuable tool for screening severe pediatric OSA.
- Combining ODI3 with adenoidal-nasopharyngeal ratio (ANR) and tonsil size provides an optimal screening strategy.
- This approach offers a more efficient and accessible alternative to polysomnography for identifying severe OSA in children who snore.
Abstract:
Efficient screening for severe obstructive sleep apnea (OSA) is important for children with snoring before time-consuming standard polysomnography. This retrospective cross-sectional study aimed to compare clinical variables, home snoring sound analysis, and home sleep pulse oximetry on their predictive performance in screening severe OSA among children who habitually snored. Study 1 included 9 (23%) girls and 30 (77%) boys (median age of 9 years). Using univariate logistic regression models, 3% oxygen desaturation index (ODI3) ≥ 6.0 events/h, adenoidal-nasopharyngeal ratio (ANR) ≥ 0.78, tonsil size = 4, and snoring sound energy of 801-1000 Hz ≥ 22.0 dB significantly predicted severe OSA in descending order of odds ratio. Multivariate analysis showed that ODI3 ≥ 6.0 events/h independently predicted severe pediatric OSA. Among several predictive models, the combination of ODI3, tonsil size, and ANR more optimally screened for severe OSA with a sensitivity of 91% and a specificity of 94%. In Study 2 (27 (27%) girls and 73 (73%) boys; median age, 7 years), this model was externally validated to predict severe OSA with an accuracy of 76%. Our results suggested that home sleep pulse oximetry, combined with ANR, can screen for severe OSA more optimally than ANR and tonsil size among children with snoring.
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