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Young Il Roh 1 Article
Mortality Reduction in Major Trauma Patients after Establishment of a Level I Trauma Center in Korea: A Single-Center Experience
Young Il Roh, Hyung Il Kim, Yong Sung Cha, Kyoung-Chul Cha, Hyun Kim, Kang Hyun Lee, Sung Oh Hwang, Oh Hyun Kim
J Trauma Inj. 2017;30(4):131-139.   Published online December 30, 2017
DOI: https://doi.org/10.20408/jti.2017.30.4.131
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AbstractAbstract PDFSupplementary Material
Purpose

Trauma systems have been shown to decrease injury-related mortality. The present study aimed to compare the mortality rates of patients with major trauma (injury severity score >15) treated before and after the establishment of a level I trauma center.

Methods

During this 20-month study, participants were divided into pre-trauma center and trauma center groups, and trauma and injury severity score (TRISS) method was used to compare mortality rates during 10-month periods before and after the establishment of the trauma center (October 2013 to July 2014 vs. October 2014 to July 2015).

Results

Of the 541 total participants, 278 (51.5%) visited after the establishment of the trauma center. The Z and W statistics indicated better outcomes in the trauma center group than in the pre-trauma center group (Z statistic, 2.635 vs. ?0.700; W statistic, 4.640). The trauma center group also exhibited meaningful reductions in the time interval from the emergency department (ED) visit to emergency surgery (118.0 minutes vs. 142.5 minutes, p=0.020) and the interval from the ED visit to intensive care unit admission (202.0 minutes vs. 259.0 minutes, p=0.035) relative to the pre-trauma center group.

Conclusions

The TRISS and multivariate analysis revealed significant improvements in survival rates in the trauma center group, compared to the pre-trauma center group.

Summary

Citations

Citations to this article as recorded by  
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    International Journal of Environmental Research an.2022; 19(3): 1866.     CrossRef
  • Survival benefit of direct transport to trauma centers among patients with unintentional injuries in Korea: a propensity score-matched analysis
    Dong Jun Lee, Seok Hoon Ko, Jongkyeong Kang, Myung Chun Kim, Han Zo Choi
    Clinical and Experimental Emergency Medicine.2022; 10(1): 37.     CrossRef
  • Machine Learning Model to Predict Ventilator Associated Pneumonia in patients with Traumatic Brain Injury: The C.5 Decision Tree Approach
    Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Hassan Al-Thani, Ayman El-Menyar
    Brain Injury.2021; 35(9): 1095.     CrossRef

J Trauma Inj : Journal of Trauma and Injury