Journal of intellectual disability research : JIDR · 2023
Prediction of obstructive sleep apnoea in children and adolescents with Down syndrome.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Wijayaratne P R, Williams K, Davey M J, Horne R S C, Nixon G M
Аннотация
BACKGROUND: Obstructive sleep apnoea (OSA) is common in children and adolescents with Down syndrome (DS). Clinical guidelines recommend that all children with DS have polysomnography (PSG) for assessment of OSA by the age of 4 years, but access is limited and testing may be burdensome for children and families.
METHODS: The purpose of this prospective cross-sectional cohort study was to identify a model to predict OSA in this group that could be tested in an external population to triage children and adolescents with DS for PSG. These models were based on a comprehensive set of potential predictive demographic, anthropometric, quality of life and sleep-related variables.
RESULTS: The results of this study show the predictive power of a model based on the sleep disordered breathing subscale of the Pediatric Sleep Survey Instrument and sleep fragmentation quantified using actigraphy in determining moderate-severe OSA in children and adolescents with DS. This model exhibits high sensitivity (82%), specificity (80%), positive predictive value (75%) and negative predictive value (86%).
CONCLUSIONS: We demonstrate the utility of a tool containing the sleep disordered breathing subscale of the Pediatric Sleep Survey Instrument and sleep fragmentation quantified using actigraphy in identifying children and adolescents with DS who have moderate/severe OSA.
METHODS: The purpose of this prospective cross-sectional cohort study was to identify a model to predict OSA in this group that could be tested in an external population to triage children and adolescents with DS for PSG. These models were based on a comprehensive set of potential predictive demographic, anthropometric, quality of life and sleep-related variables.
RESULTS: The results of this study show the predictive power of a model based on the sleep disordered breathing subscale of the Pediatric Sleep Survey Instrument and sleep fragmentation quantified using actigraphy in determining moderate-severe OSA in children and adolescents with DS. This model exhibits high sensitivity (82%), specificity (80%), positive predictive value (75%) and negative predictive value (86%).
CONCLUSIONS: We demonstrate the utility of a tool containing the sleep disordered breathing subscale of the Pediatric Sleep Survey Instrument and sleep fragmentation quantified using actigraphy in identifying children and adolescents with DS who have moderate/severe OSA.