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Published on: December 6, 2016
Obstructive sleep apnea screening in children with asthma
Mudiaga O Sowho1, Rachelle Koehl1, Rebecca Shade1
1Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Insights
Obstructive sleep apnea (OSA) is common in children with asthma. A child's body mass index z-score is a simple, effective tool for screening OSA in this population.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
- Asthma Research
Background:
- Obstructive sleep apnea (OSA) is prevalent in children with asthma, especially those who are obese.
- Current screening questionnaires for OSA in asthmatic children have limited accuracy.
- Identifying accurate screening methods for OSA in this vulnerable population is crucial.
Purpose of the Study:
- To identify specific questions from a sleep-related breathing disorder survey that are associated with OSA in children with asthma.
- To evaluate the diagnostic accuracy of individual survey questions and a composite score compared to body mass index (BMI) z-score for OSA screening.
Main Methods:
- A cohort of 136 children with asthma completed a sleep-related breathing disorder survey.
- Polysomnography was performed to diagnose OSA (apnea-hypopnea index ≥ 2 events/h).
- Logistic regression analyzed associations between survey questions and OSA; predictive values were calculated.
Main Results:
- The prevalence of OSA was 40% in the study sample.
- Loud snoring, morning dry mouth, and being overweight were significantly associated with OSA.
- The BMI z-score alone demonstrated higher positive (76.3%) and negative (72.2%) predictive values than the composite survey score (60.3% and 77.6%).
Conclusions:
- The body mass index z-score is a valuable and simple tool for screening obstructive sleep apnea in children with asthma.
- Routine application of BMI z-score screening is recommended due to its effectiveness and the potential impact of OSA on asthma morbidity.
Rationale:
Obstructive sleep apnea is highly prevalent in children with asthma, particularly in obese children. The sleep-related breathing disorder screening questionnaire has low screening accuracy for obstructive sleep apnea in children with asthma. Our goal was to identify the questions on the sleep-related breathing disorder survey associated with obstructive sleep apnea in children with asthma.
Methods:
Participants completed the survey, underwent polysomnography and their body mass index z-score was measured. Participants with survey scores above 0.33 were considered high risk for obstructive sleep apnea and those with an apnea-hypopnea index ≥ 2 events/h classified as having obstructive sleep apnea. Logistic regression was used to examine the association of each survey question and obstructive sleep apnea. Positive and negative predictive values were calculated to estimate screening accuracy.
Results:
The prevalence of obstructive sleep apnea was 40% in our sample (n = 136). Loud snoring, morning dry mouth, and being overweight were the survey questions associated with obstructive sleep apnea. The composite survey score obtained from all 22 questions had positive and negative predictive values of 51.0% and 65.5%, while the combined model of loud snoring, morning dry mouth, and being overweight had positive and negative predictive values of 60.3% and 77.6%. On the other hand, the body mass index z-score alone had positive and negative predictive values of 76.3% and 72.2%.
Conclusions:
The body mass index z-score is useful for obstructive sleep apnea screening in children with asthma and should be applied routinely given its simplicity and concerns that obstructive sleep apnea may contribute to asthma morbidity.
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