Development and validation of prediction models for neurocognitive disorders in adult patients admitted to the ICU with sleep disturbance.

ABSTRACT:

Background

Neurocognitive disorders (NCDs) and sleep disturbance are highly prevalent in the perioperative period and intensive care unit (ICU). There has been a lack of individualized evaluation tools designed for the high-risk NCDs in critically ill patients with sleep disturbance.

Objectives

The aim of this study was to develop and validate prediction models for NCDs among adult patients with sleep disturbance.

Methods

The R software was used to analyze the dataset of adult patients admitted to the ICU with sleep disturbance, who were diagnosed following the codes of the International Classification of Diseases, 9th Revision (ICD-9) and 10th Revision (ICD-10) using the MIMIC-IV database. We used logistic regression and LASSO analyses to identify important risk fact

SUBMITTER: Li Y 

PROVIDER: S-EPMC8928914 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature