Development and Validation of a Clinical Prediction Model for Sleep Disorders in the ICU: A Retrospective Cohort Study.

ABSTRACT:

Background

Sleep disorders, the serious challenges faced by the intensive care unit (ICU) patients are important issues that need urgent attention. Despite some efforts to reduce sleep disorders with common risk-factor controlling, unidentified risk factors remain.

Objectives

This study aimed to develop and validate a risk prediction model for sleep disorders in ICU adults.

Methods

Data were retrieved from the MIMIC-III database. Matching analysis was used to match the patients with and without sleep disorders. A nomogram was developed based on the logistic regression, which was used to identify risk factors for sleep disorders. The calibration and discrimination of the nomogram were evaluated with the 1000 bootstrap resampling and receiver operating characteristic cu

SUBMITTER: Li Y 

PROVIDER: S-EPMC8085546 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature