Acute Brain Dysfunction: Development and Validation of a Daily Prediction Model.

ABSTRACT:

Background

The goal of this study was to develop and validate a dynamic risk model to predict daily changes in acute brain dysfunction (ie, delirium and coma), discharge, and mortality in ICU patients.

Methods

Using data from a multicenter prospective ICU cohort, a daily acute brain dysfunction-prediction model (ABD-pm) was developed by using multinomial logistic regression that estimated 15 transition probabilities (from one of three brain function states [normal, delirious, or comatose] to one of five possible outcomes [normal, delirious, comatose, ICU discharge, or died]) using baseline and daily risk factors. Model discrimination was assessed by using predictive characteristics such as negative predictive value (NPV). Calibration was assessed by plotting empirical vs mod

SUBMITTER: Marra A 

PROVIDER: S-EPMC6113630 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature