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J Trauma Inj : Journal of Trauma and Injury



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Major Causes of Preventable Death in Trauma Patients
Youngeun Park, Gil Jae Lee, Min A Lee, Kang Kook Choi, Jihun Gwak, Sung Youl Hyun, Yang Bin Jeon, Yong-Cheol Yoon, Jungnam Lee, Byungchul Yu
J Trauma Inj. 2021;34(4):225-232.   Published online July 29, 2021
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  • 207 Download
  • 12 Citations
AbstractAbstract PDF

Trauma is the top cause of death in people under 45 years of age. Deaths from severe trauma can have a negative economic impact due to the loss of people belonging to socio-economically active age groups. Therefore, efforts to reduce the mortality rate of trauma patients are essential. The purpose of this study was to investigate preventable mortality in trauma patients and to identify factors and healthcare-related challenges affecting mortality. Ultimately, these findings will help to improve the quality of trauma care.


We analyzed the deaths of 411 severe trauma patients who presented to Gachon University Gil Hospital regional trauma center in South Korea from January 2015 to December 2017, using an expert panel review.


The preventable death rate of trauma patients treated at the Gachon University Gil Hospital regional trauma center was 8.0%. Of these, definitely preventable deaths comprised 0.5% and potentially preventable deaths 7.5%. The leading cause of death in trauma patients was traumatic brain injury. Treatment errors most commonly occurred in the intensive care unit (ICU). The most frequent management error was delayed treatment of bleeding.


Most errors in the treatment of trauma patients occurred in early stages of the treatment process and in the ICU. By identifying the main causes of preventable death and errors during the course of treatment, our research will help to reduce the preventable death rate. Appropriate trauma care systems and ongoing education are also needed to reduce preventable deaths from trauma.



Citations to this article as recorded by  
  • Effects of Transport to Trauma Centers on Survival Outcomes Among Severe Trauma Patients in Korea: Nationwide Age-Stratified Analysis
    Hakrim Kim, Kyoung Jun Song, Ki Jeong Hong, Jeong Ho Park, Tae Han Kim, Stephen Gyung Won Lee
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • TiME OUT: Time-specific machine-learning evaluation to optimize ultramassive transfusion
    Courtney H. Meyer, Jonathan Nguyen, Andrew ElHabr, Nethra Venkatayogi, Tyler Steed, Judy Gichoya, Jason D. Sciarretta, James Sikora, Christopher Dente, John Lyons, Craig M. Coopersmith, Crystal Nguyen, Randi N. Smith
    Journal of Trauma and Acute Care Surgery.2024; 96(3): 443.     CrossRef
  • Analysis of mortality over 7 years in a mature trauma center: evolution of preventable mortality in severe trauma patients
    Sarah Guigues, Jean Cotte, Jean-Baptiste Morvan, Henry de Lesquen, Bertrand Prunet, Mathieu Boutonnet, Nicolas Libert, Pierre Pasquier, Eric Meaudre, Julien Bordes, Michael Cardinale
    European Journal of Trauma and Emergency Surgery.2023; 49(3): 1425.     CrossRef
  • Incidence and predictors of mortality among adult trauma patients admitted to the intensive care units of comprehensive specialized hospitals in Northwest Ethiopia
    Mengistu Abebe Messelu, Ambaye Dejen Tilahun, Zerko Wako Beko, Hussien Endris, Asnake Gashaw Belayneh, Getayeneh Antehunegn Tesema
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Characteristics and Clinical Outcomes of Elderly Patients with Trauma Treated in a Local Trauma Center
    Kwanhoon Park, Geonjae Cho, Sungho Lee, Kang Yoon Lee, Ji Young Jang
    Journal of Acute Care Surgery.2023; 13(1): 13.     CrossRef
  • An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study
    Seungseok Lee, Wu Seong Kang, Do Wan Kim, Sang Hyun Seo, Joongsuck Kim, Soon Tak Jeong, Dong Keon Yon, Jinseok Lee
    Journal of Medical Internet Research.2023; 25: e49283.     CrossRef
  • Preventable Death Rate of Trauma Patients in a Non-Regional Trauma Center
    Kwanhoon Park, Wooram Choi, Sungho Lee, Kang Yoon Lee, Dongbeen Choi, Han-Gil Yoon, Ji Young Jang
    Journal of Acute Care Surgery.2023; 13(3): 118.     CrossRef
  • Nine year in-hospital mortality trends in a high-flow level one trauma center in Italy
    Elisa Reitano, Roberto Bini, Margherita Difino, Osvaldo Chiara, Stefania Cimbanassi
    Updates in Surgery.2022; 74(4): 1445.     CrossRef
  • Decision support by machine learning systems for acute management of severely injured patients: A systematic review
    David Baur, Tobias Gehlen, Julian Scherer, David Alexander Back, Serafeim Tsitsilonis, Koroush Kabir, Georg Osterhoff
    Frontiers in Surgery.2022;[Epub]     CrossRef
  • Flat Inferior Vena Cava on Computed Tomography for Predicting Shock and Mortality in Trauma: A Meta-Analysis
    Do Wan Kim, Hee Seon Yoo, Wu Seong Kang
    Diagnostics.2022; 12(12): 2972.     CrossRef
  • Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea
    Seungseok Lee, Wu Seong Kang, Sanghyun Seo, Do Wan Kim, Hoon Ko, Joongsuck Kim, Seonghwa Lee, Jinseok Lee
    Journal of Medical Internet Research.2022; 24(12): e43757.     CrossRef
  • Thoracic injuries in trauma patients: epidemiology and its influence on mortality
    Andrea Lundin, Shahzad K. Akram, Lena Berg, Katarina E. Göransson, Anders Enocson
    Scandinavian Journal of Trauma, Resuscitation and .2022;[Epub]     CrossRef
Effect of the Emergency Trauma Team's Management on the Treatment of Patients with Multiple Severe Trauma
Seong Hwa Lee, Suck Joo Cho, Seok Ran Yeom, Ji Ho Ryu, Jin Woo Jung, Sang Kyun Han, Yong In Kim, Maeng Real Park, Young Dae Kim
J Korean Soc Traumatol. 2009;22(2):172-178.
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AbstractAbstract PDF
We performed this study to determine how the emergency trauma team affects the treatment of patients with multiple severe trauma and to discuss the effect and the direction of the emergency trauma team's management.
We performed a retrospective analysis of 518 patients who visited our emergency department with severe trauma from August 2006 to July 2008. We divided the severe trauma patients into 2 groups : patients before and after trauma team management (Group 1 and Group 2). Then, we compared demographic characteristics, mechanisms of injury, and treatment outcomes (lengths of stay in the ED, admission ratio, and in-hospital mortality) between the 2 groups. In the same way, patients with multiple severe trauma were divided into 2 groups, that are patients before and after trauma team management (Group 3 and Group 4) and analyzed.
There was no significant difference, except mean age, between groups 1 and 2. In group 4 patients, compared to group 3 patients, the lengths of stay in the ED were lower (p value < 0.001), and the admission ratio were higher (p value = 0.017), but there was no significant difference in the in-hospital mortality between the groups 3 and 4.
When patients with multiple severe trauma visit the ED, the emergency trauma team's management can decrease the lengths of stay in the ED and increase the admission ratio, but does not produce a decrease in the in-hospital mortality rate. Further investigations of emergency trauma team management are needed to improve treatment outcomes for patients with multiple severe trauma.

J Trauma Inj : Journal of Trauma and Injury