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Dataset Information

Development and validation of a nomogram for predicting the risk of obstructive sleep apnea in patients with type 2 diabetes.


ABSTRACT:

Background

Obstructive sleep apnea (OSA) is highly prevalent among patients with type 2 diabetes mellitus (T2DM) in China, but few patients with clinical symptoms of OSA are referred for diagnostic polysomnography (PSG). Thus, this study aimed to develop and validate an easy-to-use nomogram that predicts the severity of OSA in patients with T2DM.

Methods

This retrospective study included consecutive patients with T2DM admitted to the Endocrinology Department, Third Affiliated Hospital of Soochow University between January 1, 2016 and December 31, 2019. OSA was diagnosed with PSG. Participants were randomly assigned to a training cohort (70%) and a validation cohort (30%). Demographic, anthropometric, and biochemical data were collected. A least absolute shrinkage and selecti

SUBMITTER: Shi H 

PROVIDER: S-EPMC7812169 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature