目的：探讨Budd-Chiari综合征（BCS）并发门静脉血栓形成（PVT）的相关危险因素。方法：回顾性分析郑州大学第一附属医院2010年1月—2015年12月确诊的28例BCS并发PVT患者（PVT组）与随机选取同期确诊的40例BCS未并发PVT的患者（非PVT组）的临床资料。采用单因素分析及二分类多因素非条件Logistic回归模型筛选出BCS并发PVT的独立危险因素，用受试者工作特性曲线（ROC）与曲线下面积（AUC）分析各危险因素的诊断效能，并计算最佳临界点。结果：单因素分析显示，PVT组患者在门静脉血流速度、血红蛋白明显低于非PVT组，D-二聚体（DD）、脾脏厚度水平明显高于非PVT组（均P<0.05）；非条件Logistic回归模型分析显示血浆DD、门静脉血流速度、脾脏厚度是BCS并发PVT的独立危险因素（OR=31.67、0.61、1.23，均P<0.05）。ROC曲线显示，门静脉血流速度对BCS并发PVT无诊断价值（AUC<0.5），而DD、脾脏厚度的AUC分别为0.724、0.673，诊断BCS并发PVT的最佳临界点分别为0.283 μg/L、49.5 mm。结论：血浆DD水平、门静脉血流速度、脾脏厚度是BCS并发PVT的独立危险因素，尤其是DD>0.283 μg/L、脾脏厚度>49.5 mm的BCS患者，PVT发生的可能性增大。
Analysis of risk factors for Budd-Chiari syndrome with complicated portal vein thrombosis
Objective: To investigate the factors for Budd-Chiari syndrome (BCS) with complicated portal vein thrombosis (PVT). Methods: The clinical data of 28 patients diagnosed as BCS with complicated PVT (PVT group) in the First Affiliated Hospital of Zhengzhou University from January in 2010 to December 2015, and 40 patients diagnosed as BCS without PVT (non-PVT group) in the same period by random pick were retrospectively analyzed. The risk factors for BCS with complicated PVT were screened by univariate analysis and unconditional Logistic regression model. The diagnostic efficiency of each risk factor was analyzed by receiver operating characteristic curve (ROC) and the area under ROC curve (AUC), and their optimal cut-off values were also determined. Results: Univariate analysis showed that the velocity of the portal vein blood flow and the hemoglobin level were significantly lower and the D-dimer (DD) level and splenic thickness were significantly higher in PVT group than those in non-PVT group (all P<0.05); the results of unconditional Logistic regression model analysis identified that DD level, velocity of the portal vein blood flow and splenic thickness were independent risk factors for BCS with complicated PVT (OR=31.67, 0.61 and 1.23, all P<0.05). ROC curve demonstrated that the velocity of the portal vein blood flow had no diagnostic value for BCS with complicated PVT (AUC<0.5), while the AUC of DD level and splenic thickness for prediction of BCS with complicated PVT was 0.724 and 0.673 with the optimal cut-off value of 0.283 μg/L and 49.5 mm, respectively. Conclusion: Serum DD level, velocity of the portal vein blood flow, and splenic thickness are independent risk factors for BCS with complicated PVT, and the possibility of PVT is increased especially in BCS patients with DD level higher than 0.283 μg/L or splenic thickness greater than 49.5 mm.