Ontology highlight
ABSTRACT: Background
Polysomnography (PSG) is the gold standard for diagnosis of sleep-disordered breathing (SDB). But it is impractical to perform PSG in all patients with diabetes. The objective was to develop a clinically easy-to-use prediction model to diagnosis SDB in patients with diabetes.Methods
A total of 440 patients with diabetes were recruited and underwent overnight PSG at West China Hospital. Prediction algorithms were based on oxygen desaturation index (ODI) and other variables, including sex, age, body mass index, Epworth score, mean oxygen saturation, and total sleep time. Two phase approach was employed to derivate and validate the models.Results
ODI was strongly correlated with apnea-hypopnea index (AHI) (rs = 0.941). In the derivation phase, the
SUBMITTER: Chen L
PROVIDER: S-EPMC7985532 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature