Validation of a predictive model for obstructive sleep apnea in people with Down syndrome.

ABSTRACT: Detecting obstructive sleep apnea (OSA) is important to both prevent significant comorbidities in people with Down syndrome (DS) and untangle contributions to other behavioral and mental health diagnoses. However, laboratory-based polysomnograms are often poorly tolerated, unavailable, or not covered by health insurance for this population. In previous work, our team developed a prediction model that seemed to hold promise in identifying which people with DS might not have significant apnea and, consequently, might be able to forgo a diagnostic polysomnogram. In this study, we sought to validate these findings in a novel set of participants with DS. We recruited an additional 64 participants with DS, ages 3-35 years. Caregivers completed the same validated questionnaires, and our study tea

SUBMITTER: Skotko BG 

PROVIDER: S-EPMC9988250 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature