Factors predicting the early mortality of trauma patients [Ulus Travma Acil Cerrahi Derg]
Ulus Travma Acil Cerrahi Derg. 2018; 24(6): 532-538 | DOI: 10.5505/tjtes.2018.29434  

Factors predicting the early mortality of trauma patients

Won Young Yong Jin1, Jin Hee Jeong1, Dong Hoon Kim1, Tae Yun Kim1, Changwoo Kang1, Soo Hoon Lee1, Sang Bong Lee1, Seong Chun Kim3, Yong Joo Park3, Daesung Lim3
1Department of Emergency Medicine,Gyeongsang National University School of Medicine, Jinju-si, Gyeongsangnam-do-Republic of Korea
2Gyeongsang Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju-si, Gyeongsangnam-do-Republic of Korea
3Department of Emergency Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Gyeongsangnam-Republic of Korea

BACKGROUND: The aim of this study was to identify factors predicting early mortality in trauma patients.
METHODS: This was a study of 6288 trauma patients admitted to the hospital between July 2011 and June 2016. Among the variables recorded for a prospective trauma registry, the following were selected for analysis: sex; age; a combination of the Glasgow Coma Scale score, age, and systolic blood pressure (SBP) (GAP); a combination of the mechanism of injury, the Glasgow Coma Scale score, age, and SBP (MGAP); SBP; respiratory rate; peripheral oxygen saturation (SpO2 value); the Glasgow Coma Scale score; laboratory variables; and presentation time. Logistic regression analysis was used to explore associations between these variables and early mortality.
RESULTS: In total, 296 (4.6%) patients died within 24 hours. Univariate regression analysis indicated that age, the GAP, the MGAP, SBP, SpO2, the Glasgow Coma Scale score, base excess, hemoglobin level, platelet count, INR, and presentation time predicted early mortality. Multivariate regression showed that the GAP, the MGAP, SpO2, base excess, platelet count, and INR were independently predictive. The areas under the receiver operator curve comparisons for the GAP and MGAP models revealed the superiority of the GAP-based model.
CONCLUSION: The GAP model, SpO2, base excess, platelet count, and INR predicted the early mortality of trauma patients.

Keywords: Acute traumatic coagulopathy, base excess, mortality; peripheral oxygen saturation; trauma; trauma scoring system


Won Young Yong Jin, Jin Hee Jeong, Dong Hoon Kim, Tae Yun Kim, Changwoo Kang, Soo Hoon Lee, Sang Bong Lee, Seong Chun Kim, Yong Joo Park, Daesung Lim. Factors predicting the early mortality of trauma patients. Ulus Travma Acil Cerrahi Derg. 2018; 24(6): 532-538

Corresponding Author: Jin Hee Jeong, South Korea


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