Citation

de Sousa RM, Regis FC, Koizumi MS. Rev. Saude Publica 1999; 33(1): 85-94.

Vernacular Title

Traumatismo cranio-encefalico: diferencas das vitimas pedestres e ocupantes de

Affiliation

Departamento de Enfermagem Médico-Cirúrgica da Escola de Enfermagem da Universidade de São Paulo, Brasil.

Copyright

(Copyright © 1999, Faculdade de Higiene e Saude Publica)

DOI

unavailable

PMID

10436625

Abstract

OBJECTIVE: The purpose of this study was to discover the differences among victims who had traumatic brain injury due to traffic accidents. METHODS: Medical record of the head injury patients were analyzed according to their classification as traffic accident victims (pedestrian, motorcyclist or passenger and other motor vehicle deriver or passenger), age, gender, admission type (admitted from scene of the injury or from another hospital), duration of hospitalization, type of head injury, types of lesions present in other body segments and mortality. Patient's injury severity was measured by Injury Severity Score and head injury severity was analyzed using the ranking on the Glasgow Coma Scale, recorded by neurosurgeons during their first neuro assessment. All head injured patients admitted to a trauma center in S. Paulo city over a four-month period from March through June 1993, were included in the study. The sample was of 156 victims, with subsets of 80 pedestrians, 26 occupants of motorcycles and 50 occupants of other motor vehicles. RESULTS AND CONCLUSION: The results of this study showed that the mortality rate was higher in the pedestrian subset (25.0%) than among other victims and higher for motorcycle occupants (19.2%) than for motor vehicle victims (8.0%). Statistical differences between the subsets were established when the head injury severity variable was analyzed using the Glasgow Coma Scale. On the other hand, the differences between the three subsets was not statistically significant when the measurement used was the Injury Severity Score. Analyses of other variables showed important differences among subset distributions.