Predicting in-hospital mortality among critically ill patients with end-stage liver disease.

ABSTRACT:

Purpose

Critically-ill patients with end-stage liver disease (ESLD) are at high risk for death during intensive care unit hospitalization, and currently available prognostic models have limited accuracy in this population. We aimed to identify variables associated with in-hospital mortality among critically ill ESLD patients and to develop and validate a simple, parsimonious model for bedside use.

Materials and methods

We performed a retrospective chart review of 653 intensive care unit admissions for ESLD patients; modeled in-hospital mortality using multivariable logistic regression; and compared the predictive ability of several different models using the area under receiver operating characteristic (AU-ROC) curves.

Results

Multivariable predictors of in-hospital m

SUBMITTER: Balekian AA 

PROVIDER: S-EPMC4405501 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature