Citation

Gomes E, Araújo R, Carneiro A, Dias C, Lecky FE, Costa-Pereira A. Eur. J. Trauma Emerg. Surg. 2008; 34(6): 561-569.

Affiliation

Centro de Investigação em Tecnologias da Saúde e Sistemas de Informação em Saúde - CINTESIS, Serviço de Bioestatística e Informática Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.

Copyright

(Copyright © 2008, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00068-007-6189-3

PMID

26816280

Abstract

INTRODUCTION: Trimodal distribution of deaths and the golden hour concepts are in part responsible for the genesis of all modern trauma systems but these concepts have been challenged recently. Our aim was to describe distribution of death in trauma using data from a trauma system and discuss what could be done from the organizational point of view to improve outcome.

METHODS: We included all traumatic deaths occurring between 2001 and 2005 in a trauma system. Data on age, gender, time and place of injury, time of first and second hospital arrival, cause of trauma and type of accident, hospital characteristics, dominant injury and time of death were collected for this study. Formortality distribution the variable time was transformed applying a natural logarithm.

RESULTS: A total of 1,436 deaths occurred over a period of 53 months; 52% at the scene, 18% in the level I trauma center, 21% in level III trauma center and the remaining in level IV/V trauma center. Death distribution using a logarithmic scale in minutes showed four peaks: deaths at the scene, deaths in the first hours, deaths in the first 2 days and finally, deaths in the second week that we referred as 2 min, 2 h, 2 days and 2 weeks peak. We found statistically significant differences in age and dominant injury concerning timing of death.

CONCLUSIONS: A tetramodal pattern of death distribution could be described. Our data support the need to focus on the treatment of severe head injuries namely in the intensive care environment.

Language: en