Factors affecting injury severity of vehicle occupants following road traffic collisions

Fikri M. Abu-Zidan, Hani O. Eid

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

Aim We aimed to define factors affecting injury severity of vehicle occupants following road traffic collisions (RTC). Patients and methods 422 vehicle occupants (343 males, 81.3%) with RTC-related injuries were prospectively studied over 18 months. General linear model was used to test the effect of age, gender, alcohol and drug use, time of injury, mechanism of injury, size and speed of the vehicle, position in the vehicle, seatbelt usage, and air bag deployment on the Injury Severity Score (ISS) of the vehicle occupants. Results The mean (range) age of patients was 28.2 (1-78) years and the mean (range) ISS was 7.9 (1-50). Front impact was the most common mechanism of injury (32.9%) followed by rollover (25.6%) and side impact (22.3%). 18.2% used seatbelts. The general linear model was highly significant and showed that mechanism of injury (p < 0.0001), speed of the vehicle (p = 0.02), and age of the vehicle occupant (p = 0.03) significantly affected the Injury Severity Score. Conclusions The mechanism of the RTC, the vehicle speed, and age of the vehicle occupant are the most important factors affecting the severity of road traffic collision injuries. A detailed history of the mechanism of injury is important for alerting clinicians to severity of injury, the need for admission, and workup of the patients. Furthermore, strict speed limit enforcement is an injury prevention priority in our community.

Original languageEnglish
Pages (from-to)136-141
Number of pages6
JournalInjury
Volume46
Issue number1
DOIs
Publication statusPublished - Jan 1 2015

Keywords

  • Energy
  • General linear model
  • Injury severity
  • Mechanism
  • Road traffic collision

ASJC Scopus subject areas

  • Emergency Medicine
  • Orthopedics and Sports Medicine

Fingerprint

Dive into the research topics of 'Factors affecting injury severity of vehicle occupants following road traffic collisions'. Together they form a unique fingerprint.

Cite this