Unknown

Dataset Information

Predictive correlates of poor sleep associated with increased risk of severe asthma exacerbations among children with moderate-to-severe asthma.


ABSTRACT:

Background

Sleep studies (polysomnography) are a diagnostic tool used to monitor various physiological parameters during sleep to diagnose and manage sleep disorders. However, the prognostic utility of sleep measures for the prediction of childhood asthma severe exacerbation (SE) risk is unknown.

Methods

Retrospective cohort analysis to identify correlates and quantify the prognostic utility of poor sleep measures for the prediction of SE risk among children with moderate or severe asthma.

Results

The study cohort included 161 patients (36% female, 33% African American, mean (standard deviation [SD]) age of 10 [4] years). A higher sleep arousal index (i.e., sleep fragmentation measured as disruptions in brainwave activity) was associated with increased risk of SE amon

SUBMITTER: Bandyopadhyay A 

PROVIDER: S-EPMC12550647 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature