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Development of a predictive algorithm to identify...
Journal article

Development of a predictive algorithm to identify pre-school children at risk for behavior changes associated with sleep-related breathing disorders

Abstract

STUDY OBJECTIVES: Children with late-onset (2-5 years) or persistent (3 months-5 years) sleep-related breathing disorder (SRBD) have an increased risk of behavior problems compared to children with no or early-onset SRBD. We sought to determine whether a combination of urine metabolites and sleep questionnaires could identify children at risk for SRBD-associated behavior problems. METHODS: Urine and data were analyzed from the Edmonton site of …

Authors

Ezeugwu VE; Adamko D; van Eeden C; Dubeau A; Turvey SE; Moraes TJ; Simons E; Subbarao P; Wishart DS; Mandhane PJ

Journal

Sleep Medicine, Vol. 100, , pp. 472–478

Publisher

Elsevier

Publication Date

December 2022

DOI

10.1016/j.sleep.2022.09.015

ISSN

1389-9457