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Published in: Journal of Trauma Management & Outcomes 1/2014

Open Access 01-12-2014 | Research

Mortality after road traffic crashes in a system with limited trauma data capability

Authors: Hassan Saidi, Ben Kasyoka Mutiso, Julius Ogengo

Published in: Journal of Trauma Management & Outcomes | Issue 1/2014

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Abstract

Background

Africa has 4% of the global vehicles but accounts for about one tenth of global vehicular deaths. Major trauma in Kenya is associated with excess mortality in comparison with series from trauma centers. The determinants of this mortality have not been completely explored.

Objectives

To determine the factors affecting mortality among road users in Nairobi, Kenya.

Methods

Cross-sectional study of prospectively collected data of trauma admissions at the Kenyatta National Hospital over a calendar year (2009–2010). Information collected included age, gender, road user type, principal anatomical region of injury, admission status, admission blood pressure and GCS, disposition destination, Injury Severity Score (ISS), injuries sustained, treatment and mortality at two weeks. Major or severe injury was defined as injuries of ISS > 15. Groups based on in-hospital survival were compared using determinants of mortality using X 2 or students t-test as appropriate. Logistic regression was used to assess the independence of predictive variables.

Results

One thousand six hundred forty seven (1647) patients were admitted for trauma during the study period. Traffic admissions were 1013 (61.7%) and males predominated (79.8%). The average age of patients admitted was 31.7 years. Pedestrians, vehicle occupants and motorcyclists represented 43.3%, 27.2% and 15.2% of the road users injured. The proportion of patients with ISS > 15 was 10.9%.
The overall mortality was 7.7%. Mortality for ISS > 15 was 27.6%. The following factors significantly predicted mortality on univariate analysis: head injury, abdominal injury, transfer in status, blood transfusion, ICU admission, age > 60 years, Glasgow coma scale (GCS) and injury severity. GCS (p = 0.001) and ISS > 15 (p < 0.05) remained significant predictors on regression analysis.

Conclusion

Trauma mortality rates in this study exceed those from mature trauma systems. Head injury and injury severity based on the ISS are independent predictors of mortality after traffic trauma. Improvements in neurosurgical and critical care services ingrained within wider primary and secondary prevention initiatives are logical targets.
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Metadata
Title
Mortality after road traffic crashes in a system with limited trauma data capability
Authors
Hassan Saidi
Ben Kasyoka Mutiso
Julius Ogengo
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Journal of Trauma Management & Outcomes / Issue 1/2014
Electronic ISSN: 1752-2897
DOI
https://doi.org/10.1186/1752-2897-8-4

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Reviewer Acknowledgement

Reviewer acknowledgement 2013