Xia Xiaodong, Hua Lei, Zhang Yongqiang, Tang Qing, Xu Jiaqi, Hua Shuxin, Liu Xiaohe, Chai Yanfen, Wang Lijun
Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Department of Craniocerebral Trauma and Critical Care Medicine, Tianjin Huanhu Hospital, Tianjin, China.
Front Surg. 2025 Apr 7;12:1543860. doi: 10.3389/fsurg.2025.1543860. eCollection 2025.
This study aimed to analyze the risk factors of lower extremity deep vein thrombosis (LEDVT) in emergency inpatients in the post-epidemic era, and to establish a prediction model for identifying high-risk patients of LEDVT.
Emergency inpatients admitted to our hospital from June 2022 to June 2023 were divided into two groups: the epidemic group and the post-epidemic group. The baseline characteristics, blood routine, liver and kidney function, blood coagulation function, and LE ultrasonography were compared between the two groups. Multivariate logistic analysis and receiver operating character (ROC) curve were used to establish and evaluate the effectiveness of a prediction model for LEDVT in the post-epidemic era.
A total of 967 patients were analyzed, including 388 cases in the epidemic group and 579 cases in the post-epidemic group. The portion of LEDVT cases in the post-epidemic group (33.2%) was significantly higher than that in the epidemic group (26.8%, = 0.036). Binary Logistic regression analysis showed that age, smoking history, drinking history and glycosylated hemoglobin (HBA1c) were independent risk factors for thrombosis. The prediction model was established as = 0.863 × age + 0.978 × smoking history + 0.702 × drinking history + 0.104 × HBA1c - 2.439. The area under the ROC curve was 0.718.
The incidence of LEDVT in emergency inpatients in the post-epidemic era was significantly higher than that in the epidemic period. Age, smoking and drinking history, and glycosylated hemoglobin are at high risk for thrombosis.
本研究旨在分析疫情后时代急诊住院患者下肢深静脉血栓形成（LEDVT）的危险因素，并建立识别LEDVT高危患者的预测模型。
将2022年6月至2023年6月我院收治的急诊住院患者分为两组：疫情组和疫情后组。比较两组患者的基线特征、血常规、肝肾功能、凝血功能及下肢血管超声检查结果。采用多因素logistic分析及受试者工作特征（ROC）曲线建立并评估疫情后时代LEDVT预测模型的有效性。
共分析967例患者，其中疫情组388例，疫情后组579例。疫情后组LEDVT病例比例（33.2%）显著高于疫情组（26.8%，P = 0.036）。二元Logistic回归分析显示，年龄、吸烟史、饮酒史及糖化血红蛋白（HBA1c）是血栓形成的独立危险因素。建立预测模型为：Y = 0.863×年龄 + 0.978×吸烟史 + 0.702×饮酒史 + 0.104×HBA1c - 2.439。ROC曲线下面积为0.718。
疫情后时代急诊住院患者LEDVT发生率显著高于疫情期间。年龄、吸烟饮酒史及糖化血红蛋白是血栓形成的高危因素。
