An effective model for screening obstructive sleep apnea: a large-scale diagnostic study.

ABSTRACT:

Background

Obstructive sleep apnea (OSA) causes high morbidity and mortality and is independently associated with an increased likelihood of multiple complications. The diagnosis of OSA is presently time-consuming, labor-intensive and inaccessible.

Aim

This study sought to develop a simple and efficient model for identifying OSA in Chinese adult population.

Methods

In this study, the efficiency of Epworth Sleepiness Scale (ESS) and a new established prediction model for screening OSA were evaluated in the test cohort (2,032 participants) and confirmed in an independent validation cohort (784 participants).

Results

In the test cohort, a high specificity (82.77%, 95% confidence interval [CI], 77.36-87.35) and a moderate sensitivity (61.65%, 95% CI, 59.35-63.91) w

SUBMITTER: Zou J 

PROVIDER: S-EPMC3846620 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature