• Users Online: 918
  • Print this page
  • Email this page
ORIGINAL ARTICLE
Year : 2019  |  Volume : 8  |  Issue : 2  |  Page : 104-109

Prediction of mortality risk in patients with traffic injury: A case study in tabriz hospitals, Iran


1 Department of Health Services Management, Faculty of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
2 Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
3 Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
4 Emergency Medicine Research Team, Tabriz University of Medical Sciences, Tabriz, Iran

Correspondence Address:
Dr. Ali Janati
Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/atr.atr_5_19

Get Permissions

Background: Trauma caused by traffic accidents is one of the main causes of mortality in the world. The trauma is a time-dependent condition. Trauma scoring systems help service providers to determine the severity of the injury and mortality risk and provide appropriate and timely services. This study aimed to predict mortality risk in patients with traffic injuries in Tabriz hospitals. Materials and Methods: This descriptive cross-sectional study included 11,238 traffic-injured patients. Databases of the emergency medicine service and forensic medicine were used to collect information. Glasgow Coma Scale, Age, and Systolic Blood Pressure (GAP) scoring system, binary logistic regression model, odds ratio with 95% confidence interval, and sensitivity and specificity were used to predict mortality. Results: Overall, 71 cases of death were identified. Pedestrians had the most rates of deaths with 31 cases (43.66%). Head trauma with 31 cases (43.66%) was the main cause of death. Mean (standard deviation) of the GAP score was 21.8 (1.8). The death rates in high-, moderate-, and low-risk groups were 22.4%, 3.18%, and 0.42%, respectively. The likelihood of death in people with saturation of oxygen (SO2) ≤95 was 1.96 times higher than those with SO2>95. The likelihood of death increased by 0.001 times each year. Furthermore, when the GAP score was ≤18, sensitivity was 64%, and for the GAP score of ≤10, sensitivity was 15.5%. Conclusion: GAP score seems to be a reliable and easy-to-use scoring method for predicting traffic injury mortality in an Iranian setting and yields reasonable results concerning international standards.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed34    
    Printed3    
    Emailed0    
    PDF Downloaded28    
    Comments [Add]    

Recommend this journal