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Clinical characteristics and mortality risk factors among trauma patients by age groups at a single center in Korea over 7 years: a retrospective study

  • Jonghee Han (Department of Cardiovascular and Thoracic Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Su Young Yoon (Department of Cardiovascular and Thoracic Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Junepill Seok (Department of Cardiovascular and Thoracic Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Jin Young Lee (Department of Trauma Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Jin Suk Lee (Department of Trauma Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Jin Bong Ye (Department of Trauma Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Younghoon Sul (Department of Trauma Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Seheon Kim (Department of Trauma Surgery, Trauma Center, Chungbuk National University Hospital) ;
  • Hong Rye Kim (Department of Neurosurgery, Chungbuk National University Hospital)
  • Received : 2023.05.15
  • Accepted : 2023.08.21
  • Published : 2023.12.31

Abstract

Purpose: In this study, we aimed to compare the characteristics of patients with trauma by age group in a single center in Korea to identify the clinical characteristics and analyze the risk factors affecting mortality. Methods: Patients aged ≥18 years who visited the Chungbuk National University Hospital Regional Trauma Center between January 2016 and December 2022 were included. The accident mechanism, severity of the injury, and outcomes were compared by classifying the patients into group A (18-64 years), group B (65-79 years), and group C (≥80 years). In addition, logistic regression analysis was performed to identify factors affecting death. Results: The most common injury mechanism was traffic accidents in group A (40.9%) and slipping in group B (37.0%) and group C (56.2%). Although group A had the highest intensive care unit admission rate (38.0%), group C had the highest mortality rate (9.5%). In the regression analysis, 3 to 8 points on the Glasgow Coma Scale had the highest odds ratio for mortality, and red blood cell transfusion within 24 hours, intensive care unit admission, age, and Injury Severity Score were the predictors of death. Conclusions: For patients with trauma, the mechanism, injured body region, and severity of injury differed among the age groups. The high mortality rate of elderly patients suggests the need for different treatment approaches for trauma patients according to age. Identifying factors affecting clinical patterns and mortality according to age groups can help improve the prognosis of trauma patients in the future.

Keywords

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