The purpose of this study is to evaluate a clinically and economically most effective diagnostic algorithm for prediction of post-traumatic complications in a multicenter sample of severe trauma patients.
Trauma is a major public health problem worldwide, ranking as the fourth leading cause of death. One of the most serious complications of major trauma is sepsis, which often induces sequential multiple organ dysfunction syndrome (MODS). There were still no specific biomarkers to predict the susceptibility of complications and outcomes, which leading to the limited prevention methods and the high mortality rate of severe trauma patients. Previous studies from our and other group have found some sepsis and MODS predictors, including genetic polymorphisms, serum cytokines and cell-surface markers. The purposes of this multi-center observational study is to select biomarkers and evaluate a clinically and economically most effective diagnostic algorithm for prediction of complications in severe trauma patients.
Study Type
OBSERVATIONAL
Enrollment
3,500
Department of Emergency Surgery, The Affiliated Hospital of Guizhou Medical University
Guiyang, Guizhou, China
RECRUITINGTongji Hospital, Huazhong University of Science and Technology
Wuhan, Hubei, China
RECRUITINGKunming General Hospital of Chengdu Military Region
Kunming, Yunnan, China
morbidity rate of complications after trauma (including sepsis and MODS)
Time frame: patients will be followed for the duration of hospital stay, an expected average of 3 weeks
survival
Time frame: witnin 30 days and 60 days after injury
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Second Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, China
RECRUITINGChongqing Emergency Medical Center
Chongqing, China
RECRUITINGDaping Hospital / Research Institute of Surgery, the Third Military Medical University
Chongqing, China
RECRUITING