Laboratory Medicine ›› 2024, Vol. 39 ›› Issue (5): 491-496.DOI: 10.3969/j.issn.1673-8640.2024.05.014

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Roles of thromboelastography and coagulation index in predicting venous thromboembolism in patients with tumors

WANG Xuexing1, CHEN Chunmei2, HE Yuan3, CHU Jie4, WEI Chunmei1()   

  1. 1. Department of Oncology,the First People's Hospital of Anning,Kunming University of Science and Technology,Kunming 650300,Yunnan,China
    2. Department of Pharmacy,the First People's Hospital of Anning,Kunming University of Science and Technology,Kunming 650300,Yunnan,China
    3. Department of Cadres Medical Care,the Third Affiliated Hospital of Kunming Medical University,Kunming 650000,Yunnan,China
    4. Department of Oncology,Ziyang Hospital,West China Hospital of Sichuan University,Ziyang 641300,Sichuan,China
  • Received:2023-08-10 Revised:2023-11-19 Online:2024-05-30 Published:2024-06-12

Abstract:

Objective To analyze the roles of thromboelastography (TEG) and coagulation index in predicting tumor-associated venous thromboembolism (TAVTE). Methods A case control study was used to enroll 167 patients with malignant solid tumor admitted to the First People's Hospital of Anning from January 2022 to May 2023. They were classified into observation group (31 cases) and control group (136 cases) according to whether TAVTE was confirmed. The differences of general clinical data,blood cell analysis,coagulation test,TEG,blood glucose,blood lipid and other laboratory indexes were compared between the 2 groups. Logistic regression analysis was used to evaluate the influencing factors of TAVTE,and a nomogram prediction model was established. Receiver operating characteristic (ROC) curve and decision curve analysis(DCA) were used to evaluate the efficiency of the nomogram prediction model. Results There was statistical significance in tumor stage,surgical history,Caprini score,red blood cell,hemoglobin,haematocrit,albumin,international standardized ratio,prothrombin time,antithrombin Ⅲ and D-dimer between observation group and control group (P<0.05),while there was no statistical significance in other general clinical data and laboratory indexes (P>0.05). Tumor stage,diabetes mellitus,D-dimer and maximum amplitude(MA) were independent risk factors for TAVTE in tumor patients(P<0.05). The sensitivity and specificity of the established nomogram prediction model were 87.1% and 66.2%,respectively,and the area under curve was 0.819. Conclusions TEG parameter MA and coagulation index D-dimer have predictive value for TAVTE. The nomogram prediction model can predict TAVTE well.

Key words: Thromboelastography, D-dimer, Malignant tumor, Tumor-associated venous thromboembolism, Prediction model

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