Statistical Modeling and Aggregate-Weighted Scoring Systems in Prediction of Mortality and ICU Transfer: A Systematic Review.

ABSTRACT:

Background

The clinical deterioration of patientsin general hospital wards is an important safety issue. Aggregate-weighted early warning systems (EWSs) may not detect risk until patients present with acute decline.

Purpose

We aimed to compare the prognostic test accuracy and clinical workloads generated by EWSs using statistical modeling (multivariable regression or machine learning) versus aggregate-weighted tools.

Data sources

We searched PubMed and CINAHL using terms that described clinical deterioration and use of an advanced EWS.

Study selection

The outcome was clinical deterioration (intensive care unit transfer or death) of adult patients on general hospital wards. We included studies published from January 1, 2012 to September 15, 2018.

Data extract

SUBMITTER: Linnen DT 

PROVIDER: S-EPMC6628701 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature