Publication: Can standard deviation of overnight pulse oximetry be used to screen childhood obstructive sleep apnea
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Issued Date
2019-04-01
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18728464
01655876
01655876
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2-s2.0-85060165218
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Mahidol University
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SCOPUS
Bibliographic Citation
International Journal of Pediatric Otorhinolaryngology. Vol.119, (2019), 27-31
Suggested Citation
Siriporn Warapongmanupong, Aroonwan Preutthipan Can standard deviation of overnight pulse oximetry be used to screen childhood obstructive sleep apnea. International Journal of Pediatric Otorhinolaryngology. Vol.119, (2019), 27-31. doi:10.1016/j.ijporl.2019.01.003 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/51749
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Title
Can standard deviation of overnight pulse oximetry be used to screen childhood obstructive sleep apnea
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Abstract
© 2019 Elsevier B.V. Objectives: Pulse oximetry (PO) has been frequently used as an alternative test to polysomnography (PSG) in children. We conducted this study to determine which statistical parameters obtained from overnight PO monitoring would be most suitable and to evaluate its diagnostic performance. Methods: We prospectively recruited children with snoring referred for PSG. Subjects were monitored with PO while performing PSG. Eight statistical parameters of SpO 2 data were analyzed to identify which had the best diagnostic performance as assessed by the area under the receiver-operating characteristic curve (AUC). To validate this parameter (which was found to be the standard deviation, SD) in a larger population, we retrospectively extracted raw data of SpO 2 from our previous PSG records, calculated the SD of each patient, and assessed its AUC. Results: A total of 166 children were recruited in the first phase. SD of SpO 2 was found to have the largest AUC. In the second phase, raw data of 457 patients were extracted. SD of SpO 2 correlated well with the apnea/hypopnea index (AHI) (r = 0.6, P < 0.001). For diagnosis of moderate to severe obstructive sleep apnea (OSA) (AHI ≥5 events/h), AUC was 0.74. SD of SpO 2 ≥1.06 representing mean + 2SD of normal to mild OSA (AHI <5) provided 97% specificity and 92% positive predictive value. The positive likelihood ratio was 11. Conclusion: Calculating the SD of SpO 2 , which quantifies the amount of dispersion of SpO 2 values, is a useful initial investigation in childhood OSA. An SD ≥ 1.06 can predict moderate to severe OSA with confidence. This parameter is simple, practical, and readily accessible.