Literature DB >> 2724382

Trauma triage: vehicle damage as an estimate of injury severity.

I S Jones1, H R Champion.   

Abstract

Field triage of injured patients has the objective of rapid identification of that 5-10% with injuries serious enough to pose a risk to life. The process requires not only the identification of patients with abnormal physiology, but also those whose physiology is normal despite the fact that significant anatomic injury may exist. This paper defines relationships by which vehicle damage information available at the accident may augment the physiologic measures used for triage decisions. Vehicle velocity changes of 20 m.p.h. or more in direct frontal collisions, 22 m.p.h. or more in offset frontal collisions, and 15 m.p.h. or more in side impacts captured 90% of the patients with Injury Severity Scores of 16 or greater. The amount of vehicle damage observed with these velocity changes was found to be 20 inches of crush in direct frontal collisions, 28 inches of crush in offset frontal collisions, and 15 inches of damage in side impacts. Incorporating these findings into triage of trauma patients who exhibit normal vital signs at the accident scene may provide a more structured basis for field triage.

Entities:  

Mesh:

Year:  1989        PMID: 2724382

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  10 in total

1.  Fatal injury due to unrestrained vehicle load.

Authors:  D Teanby
Journal:  Br J Ind Med       Date:  1992-11

Review 2.  Accident and emergency medicine--I.

Authors:  R C Evans; R J Evans
Journal:  Postgrad Med J       Date:  1992-09       Impact factor: 2.401

Review 3.  ABC of major trauma. Transport of injured patients.

Authors:  A Wilson; P Driscoll
Journal:  BMJ       Date:  1990-09-29

4.  Triage system for rural hospital emergency services: Determining how long patients can wait.

Authors:  J M Thompson; H S Irvine; B A Von Hollen; M E Peters
Journal:  Can Fam Physician       Date:  1991-05       Impact factor: 3.275

5.  Ambulance transport rates after motor vehicle collision for older vs. younger adults: a population-based study.

Authors:  Katherine M Hunold; Mark R Sochor; Samuel A McLean; Kaitlyn B Mosteller; Antonio R Fernandez; Timothy F Platts-Mills
Journal:  Accid Anal Prev       Date:  2014-10-11

6.  Influence of injury risk thresholds on the performance of an algorithm to predict crashes with serious injuries.

Authors:  George Bahouth; Kennerly Digges; Carl Schulman
Journal:  Ann Adv Automot Med       Date:  2012

7.  On-scene factors that predict severe injury of patients involved in frontal crashes of passenger cars.

Authors:  S C Kim; K H Lee; H Y Choi; J Noble; K Lee; H J Jeon
Journal:  Eur J Trauma Emerg Surg       Date:  2016-07-28       Impact factor: 3.693

8.  Crash injury prediction and vehicle damage reporting by paramedics.

Authors:  Federico E Vaca; Craig L Anderson; Harold Herrera; Chirag Patel; Eric F Silman; Rhian Deguzman; Shadi Lahham; Vanessa Kohl
Journal:  West J Emerg Med       Date:  2009-05

9.  Precision of field triage in patients brought to a trauma centre after introducing trauma team activation guidelines.

Authors:  Marius Rehn; Torsten Eken; Andreas Jorstad Krüger; Petter Andreas Steen; Nils Oddvar Skaga; Hans Morten Lossius
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2009-01-09       Impact factor: 2.953

10.  Descriptions of motor vehicle collisions by participants in emergency department-based studies: are they accurate?

Authors:  Young M Lee; Timothy F Platts-Mills; Joel B Macwilliams; Mark R Sochor; Jeffrey S Jones; Robert M Domeier; Lawrence W Schneider; Samuel A McLean
Journal:  West J Emerg Med       Date:  2012-09
  10 in total

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