Validation of a predictive model for obstructive sleep apnea in people with Down syndrome
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. This work published by CGM investigator Brian Skotko and colleagues leveraged a previously developed prediction model that held promise in identifying which people with DS might not have significant apnea. In a novel set of participants with DS, a clinically reliable screening tool for OSA in people with DS that bypasses the need for laboratory-based polysomnography (sleep studies) was not achieved. This work, importantly, indicates that patients with DS should continue to be monitored for OSA according to current healthcare guidelines.