The potential value of thromboelastography and conventional coagulation detection in guiding the management of venous thrombosis after traumatic brain injury

血栓弹力图和常规凝血检测在指导创伤性脑损伤后静脉血栓形成治疗中的潜在价值

阅读:1

Abstract

BACKGROUND: Coagulation disorders are serious complications of traumatic brain injury (TBI), yet the predictive value of thromboelastography (TEG) for deep vein thrombosis (DVT) in this population remains unclear. This study aimed to assess the TEG profiles and four conventional coagulation parameters in patients with isolated TBI at multiple time points to predict the risk of early DVT. METHODS: In this retrospective study, 71 patients with isolated TBI were enrolled and categorized into thrombosis (n = 30) and non-thrombosis (n = 41) groups based on Doppler ultrasound and pulmonary angiography findings. Conventional coagulation parameters (PT, APTT, FIB, D-Dimer, TT, PLT) and TEG parameters (R, α-angle, MA) were systematically measured at 24, 72, and 168 hours post-injury. Statistical analyses included group comparisons and binary logistic regression to identify independent predictors of thrombosis. RESULTS: Patients who developed thrombosis had significantly lower Glasgow Coma Scale (GCS) scores (p < 0.001). Coagulation profiles evolved dynamically: D-dimer and TEG-MA were elevated at 24 hours; PT, fibrinogen, and D-dimer were higher at 72 hours; PT, D-dimer, and TEG α-angle remained elevated at 168 hours. Multivariate analysis identified lower 24-hour GCS score (OR=0.595, p < 0.001) and elevated PT at 72 and 168 hours as independent predictors of DVT. D-dimer was predictive at 72 hours (OR=1.244, p = 0.023). TEG parameters, despite showing hypercoagulability, did not independently predict thrombosis. CONCLUSIONS: In isolated TBI, coagulation abnormalities evolved dynamically during the first week after injury. Conventional coagulation parameters, particularly prothrombin time and D-dimer, were more informative for venous thrombosis risk assessment, whereas TEG reflected global hypercoagulability without providing independent predictive value.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。