Predictive value of thromboelastography combined with conventional coagulation tests for deep vein thrombosis in preoperative trauma patients
10.3760/cma.j.issn.1671-0282.2023.05.006
- VernacularTitle:血栓弹力图联合常规凝血功能在术前创伤患者深静脉血栓形成的预测价值
- Author:
Weixi ZHONG
1
;
Guandong HUANG
;
Jianyin HUANG
;
Yanping YANG
;
Kaichao YANG
;
Wei WU
;
Qiming FENG
Author Information
1. 上海市第六人民医院急诊科，上海 200233
- Keywords:
Acute traumatic fracture;
Conventional coagulation tests;
Thromboelastography;
Deep vein thrombosis
- From:
Chinese Journal of Emergency Medicine
2023;32(5):600-605
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the relationship between preoperative deep vein thrombosis (DVT) and parameters of conventional coagulation tests (CCTs) and thromboelastography (TEG) in patients with acute trauma, and to establish a prediction model to screen out high-risk patients with preoperative DVT.Methods:The clinical data of patients with acute traumatic fracture admitted to the Emergency Intensive Care Unit of Shanghai Sixth People’s Hospital from January 2021 to June 2021 were retrospectively collected. According to whether preoperative DVT occurred, the patients were divided into the DVT group and non-DVT group. The differences of CCTs and TEG parameters at the same time were compared between the two groups. Logistic regression analysis was applied to identify independent risk factors for DVT after trauma. The receiver-operating characteristic curve analysis was employed to analyze the clinical value of those parameters to predict preoperative DVT.Results:Among 123 patients with acute traumatic fracture, 101 patients were treated with anticoagulation before operation, and 51 patients were diagnosed with DVT. There were significant differences in activated partial thromboplastin time, fibrinogen (Fib), D-Dimer, fibrinogen degradation products (FDPs), reaction time, clotting time, α angle, maximum amplitude (MA) and coagulation index between the DVT and non-DVT groups. D-Dimer and MA were independent risk factors for preoperative DVT in patients with traumatic fracture. Logistic regression equation was used to establish a prediction model: the predicting index = 0.101×D-Dimer +0.241×MA + (-18.190). The α angle (AUC=0.833, P<0.001), MA (AUC=0.904, P<0.001), coagulation index (AUC=0.914, P<0.001) of TEG versus Fib (AUC=0.684, P=0.001), D-Dimer (AUC=0.685, P<0.001) and FDPs (AUC=0.656, P=0.003) of CCTs had a higher diagnostic efficacy in developing DVT of lower extremity in patients with traumatic fracture, and of all the coagulation index was the best. However, the predictor of D-Dimer combined with MA had a better predictive value (AUC=0.926, P<0.001), and the best cut-off value was 0.32 with a sensitivity and specificity of 90.2% and 79.8%, respectively. Conclusions:Compared with CCTs, TEG has more advantages in predicting preoperative DVT in patients with traumatic fracture, and the predictor of D-Dimer combined with MA can screen out patients with high risk of DVT, which can be recommended for clinical application.
