Please use this identifier to cite or link to this item:
Scopus Web of ScienceĀ® Altmetric
Type: Journal article
Title: Risk of death among cases attending South Australian major trauma services after severe trauma: the first 4 years of operation of a state trauma system
Author: Brennan, P.
Everest, E.
Griggs, W.
Slater, A.
Carter, L.
Lee, C.
Semmens, J.
Wood, D.
Nguyen, A.
Owen, D.
Pilkington, P.
Roder, D.
Somers, R.
Citation: Journal of Trauma Injury Infection and Critical Care, 2002; 53(2):333-339
Publisher: Lippincott Williams & Wilkins
Issue Date: 2002
ISSN: 1079-6061
Statement of
Brennan, Peter W ; Everest, Evan R ; Griggs, William M ; Slater, Anthony ; Carter, Libby ; Lee, Christine ; Semmens, Julie K ; Wood, Debra J ; Nguyen, Anh-minh T ; Owen, Dorothy L ; Pilkington, Prudence ; Roder, David M ; Somers, Ronald L
Abstract: <h4>Background</h4>Factors predictive of death at South Australian major trauma services were investigated among 8,654 patients who had experienced severe trauma from 1997 to 2000.<h4>Method</h4>Univariate and multivariate analyses of age, sex, injury severity, presence of comorbid conditions, and calendar year of presentation were performed.<h4>Results</h4>Multiple logistic regression indicated that factors predictive of death were older age; higher injury severity as indicated by the New Injury Severity Score and the Revised Trauma Score; and accompanying chronic liver disease, ischemic heart disease, and chronic renal failure. A decrease in risk of death by calendar year was statistically significant (p = 0.001). Using 1997 as the reference, the relative odds of death were 0.86 (95% confidence limits) (0.53, 1.39) for 1998, 0.60 (0.36, 0.99) for 1999, and 0.45 (0.27, 0.76) for 2000.<h4>Conclusion</h4>Results show a decrease in risk of death of patients attending South Australian major trauma services, from injuries of equivalent severity, during the first 4 years of operation of the State Trauma System.
Keywords: Humans
Wounds and Injuries
Trauma Severity Indices
Multivariate Analysis
Logistic Models
Statistics, Nonparametric
Middle Aged
Emergency Medical Services
Organizational Innovation
Quality of Health Care
South Australia
DOI: 10.1097/00005373-200208000-00024
Published version:
Appears in Collections:Aurora harvest
Paediatrics publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.