Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders.

ABSTRACT:

Objectives

To develop and validate a predictive nomogram for idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) in a community population in Beijing, China.

Methods

Based on the validated RBD questionnaire-Hong Kong (RBDQ-HK), we identified 78 individuals with possible RBD (pRBD) in 1,030 community residents from two communities in Beijing. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify candidate features and develop the nomogram. Internal validation was performed using bootstrap resampling. The discrimination of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and the predictive accuracy was assessed via a calibration curve. Decision cur

SUBMITTER: Lai H 

PROVIDER: S-EPMC9277017 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature