Injury severity scoring: Its definition and practical application

Turner M. Osler; Stas Amato; Stephen Ranney; Jamie Benson; Alan Cook; David Hosmer; Laurent G. Glance; Edward J. Bedrick

doi:10.1016/B978-0-323-69787-3.00012-5

Injury severity scoring: Its definition and practical application

Turner M. Osler, Stas Amato, Stephen Ranney, Jamie Benson, Alan Cook, David Hosmer, Laurent G. Glance, Edward J. Bedrick

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

An accurate prediction of outcomes following injury is an important aspect of triage and clinical management of injured patients. Beyond clinical care, outcome prediction is essential for trauma system monitoring, resource allocation, quality improvement, and research. Injury severity scores attempt to predict outcomes by reducing the myriad complexities of a clinical situation to a single number. This chapter provides an overview of the most widely used injury severity scores, statistical considerations, and potential approaches to better predictions.

Original language	English (US)
Title of host publication	Current Therapy of Trauma and Surgical Critical Care
Publisher	Elsevier
Pages	6-7e.14
ISBN (Electronic)	9780323697873
DOIs	https://doi.org/10.1016/B978-0-323-69787-3.00012-5
State	Published - Jan 1 2023
Externally published	Yes

Keywords

machine learning
outcome prediction
predictive value of tests
receiver operating characteristic (ROC) curve
risk assessment
statistical models
trauma severity indices

ASJC Scopus subject areas

General Medicine

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10.1016/B978-0-323-69787-3.00012-5

Cite this

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AU - Cook, Alan

AU - Hosmer, David

AU - Glance, Laurent G.

AU - Bedrick, Edward J.

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AB - An accurate prediction of outcomes following injury is an important aspect of triage and clinical management of injured patients. Beyond clinical care, outcome prediction is essential for trauma system monitoring, resource allocation, quality improvement, and research. Injury severity scores attempt to predict outcomes by reducing the myriad complexities of a clinical situation to a single number. This chapter provides an overview of the most widely used injury severity scores, statistical considerations, and potential approaches to better predictions.

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KW - predictive value of tests

KW - receiver operating characteristic (ROC) curve

KW - risk assessment

KW - statistical models

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PB - Elsevier

ER -

Injury severity scoring: Its definition and practical application

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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