Use of out-of-hospital variables to predict severity of injury in pediatric patients involved in motor vehicle crashes

Craig Newgard, Roger J. Lewis, B. Tilman Jolly

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Study objective: We sought to create a clinical decision rule, on the basis of variables available to out-of-hospital personnel, that could be used to accurately predict severe injury in pediatric patients involved in motor vehicle crashes as occupants. Methods: We analyzed the National Automotive Sampling System database, a national probability sample, using pediatric patients up to 15 years old (occupants only) involved in motor vehicle crashes from January 1993 to December 1999. The National Automotive Sampling System database includes patients from regions throughout the country, weighted to represent a nationwide sample. Twelve out-of-hospital variables were used in classification and regression tree analysis to create a decision rule separating children with severe injuries (Injury Severity Score [ISS]≥16) from those with minor injuries (ISS

Original languageEnglish (US)
Pages (from-to)481-491
Number of pages11
JournalAnnals of Emergency Medicine
Volume39
Issue number5
DOIs
StatePublished - 2002
Externally publishedYes

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Motor Vehicles
Injury Severity Score
Pediatrics
Wounds and Injuries
Databases
Hospital Personnel
Sampling Studies
Regression Analysis

ASJC Scopus subject areas

  • Emergency Medicine

Cite this

Use of out-of-hospital variables to predict severity of injury in pediatric patients involved in motor vehicle crashes. / Newgard, Craig; Lewis, Roger J.; Jolly, B. Tilman.

In: Annals of Emergency Medicine, Vol. 39, No. 5, 2002, p. 481-491.

Research output: Contribution to journalArticle

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