RT Journal Article
SR Electronic
T1 Predictors of sleep disordered breathing in children with Down syndrome: a systematic review and meta-analysis
JF European Respiratory Review
JO EUROPEAN RESPIRATORY REVIEW
FD European Respiratory Society
SP 220026
DO 10.1183/16000617.0026-2022
VO 31
IS 164
A1 Nardin Hanna
A1 Youstina Hanna
A1 Henrietta Blinder
A1 Julia Bokhaut
A1 Sherri L. Katz
YR 2022
UL http://err.ersjournals.com/content/31/164/220026.abstract
AB Children with Down syndrome are at increased risk of sleep disordered breathing (SDB). SDB is associated with significant morbidity including neurocognitive impairment, cardiometabolic disease and systemic inflammation. The identification of clinical markers that may predict SDB is critical in facilitating early diagnosis and treatment, and ultimately, preventing morbidity. The objective of this systematic review was to identify predictors of SDB in patients with Down syndrome. A search was conducted using MEDLINE, Embase, the Cochrane Central Register of Controlled Trials and the Cumulative Index to Nursing and Allied Health Literature. A meta-analysis was performed according to the Meta-analyses of Observational Studies in Epidemiology checklist. Our review of the literature identified inconsistent associations between a variety of variables and SDB in children with Down syndrome, although the quality of evidence was poor. Meta-analysis of age and sex identified that children with OSA were older than those without OSA, and there was a similar risk of OSA in males and females, although risk favoured males. Currently, the American Academy of Pediatrics guidelines recommend that children with Down syndrome undergo polysomnography by the age of 4 years. Our review supports the recommendation for routine screening of children with Down syndrome. However, results from our meta-analysis suggest a need for longitudinal screening to diagnose children who may develop SDB as they get older.This review identified several predictors of sleep disordered breathing (SDB) in children with Down syndrome. Meta-analysis identified older age as a predictor. This supports routine longitudinal screening of all children with Down syndrome for SDB. https://bit.ly/3KGnqFK