Inclusion of blood pressure parameter increases predictive capability of severe obstructive sleep apnea: A decision tree approach.

ABSTRACT: Few studies included objective blood pressure (BP) to construct the predictive model of severe obstructive sleep apnea (OSA). This study used binary logistic regression model (BLRM) and the decision tree method (DTM) to constructed the predictive models for identifying severe OSA, and to compare the prediction capability between the two methods. Totally 499 adult patients with severe OSA and 1421 non-severe OSA controls examined at the Sleep Medicine Center of a tertiary hospital in southern Taiwan between October 2016 and April 2019 were enrolled. OSA was diagnosed through polysomnography. Data on BP, demographic characteristics, anthropometric measurements, comorbidity histories, and sleep questionnaires were collected. BLRM and DTM were separately applied to identify predictors of sever

SUBMITTER: Cheng HJ 

PROVIDER: S-EPMC11488309 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature