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Journal Article

Citation

Katayama Y, Kitamura T, Kiyohara K, Iwami T, Kawamura T, Hayashida S, Ogura H, Shimazu T. Traffic Injury Prev. 2018; 19(1): 49-53.

Affiliation

Department of Traumatology and Acute Critical Medicine , Osaka University Graduate School of Medicine , Suita , Japan.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2017.1347645

PMID

28658590

Abstract

OBJECTIVE: Although it is important to assess the factors associated with traffic accident fatalities to decrease them as a matter of public health, such factors have not been fully identified.

METHODS: Using a large-scale dataset of ambulance records in Osaka City, Japan, we retrospectively analyzed all traffic accident patients transported to hospitals by emergency medical service personnel from 2013 to 2014. In this study, prehospital death was defined as that occurring at the scene or in the emergency department immediately after hospital arrival. We assessed prehospital factors associated with prehospital death due to traffic accidents by logistic regression models.

RESULTS: This study enrolled 28,903 emergency patients with traffic accidents of whom 68 had prehospital death. In a multivariable model, elderly patients aged >=75 years (adjusted OR [AOR] 4.34; 95% CI: 2.29-8.23), nighttime (AOR 2.75; 95% CI: 1.65-4.70), and type of injured person compared with bicyclists such as pedestrian (AOR 9.58; 95% CI: 5.07-17.99), motorcyclist (AOR 2.75; 95% CI: 1.21-6.24), and car occupant (AOR 2.98; 95% CI: 1.39-6.40) were significantly associated with prehospital death due to traffic accidents. Also, the AOR for automobile versus non-automobile as the collision opponent was 4.76 (95% CI: 2.30-9.88).

CONCLUSIONS: In this population, the factors associated with prehospital death due to traffic accidents were elderly people, nighttime, and pedestrian as the type of patient. The proportion of prehospital death due to traffic accidents was also high when the collision component was an automobile.


Language: en

Keywords

Elderly; Epidemiology; Fatality; Pedestrian; Traffic accident

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