Identification and internal validation of models for predicting survival and ICU admission following a traumatic injury.

ABSTRACT:

Background

Measures to improve the accuracy of determining survival and intensive care unit (ICU) admission using the International Classification of Injury Severity Score (ICISS) are not often conducted on a population-wide basis. The aim is to determine if the predictive ability of survival and ICU admission using ICISS can be improved depending on the method used to derive ICISS and incremental inclusion of covariates.

Method

A retrospective analysis of linked injury hospitalisation and mortality data during 1 January 2010 to 30 June 2014 in New South Wales, Australia was conducted. Both multiplicative-injury and single-worst-injury ICISS were calculated. Logistic regression examined 90-day mortality and ICU admission with a range of predictor variables. The models were a

SUBMITTER: Mitchell RJ 

PROVIDER: S-EPMC6233597 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature