Zhong Xuan, Li Shan, Hu Jiali, Lu Jinlai, Wang Wei, Hu Miao, Sun Qinjuan, Zhang Shuo, Yang Xiaoqing, Yang Changqing, Zhong Lan
Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, 150, Jimo Road, Pudong New Area, Shanghai, 200120, China.
Department of Gastroenterology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Thromb J. 2023 Jan 23;21(1):9. doi: 10.1186/s12959-023-00455-w.
Portal vein thrombosis is a common complication of liver cirrhosis and hepatocellular carcinoma; however, few studies have reported its long-term clinical prognosis. This study aimed to establish and validate easy-to-use nomograms for predicting gastrointestinal bleeding, portal vein thrombosis resolution, and mortality of patients with portal vein thrombosis.
This multicenter retrospective cohort study included 425 patients with portal vein thrombosis who were divided into training (n = 334) and validation (n = 91) sets. Prediction models were developed using multivariate Cox regression analysis and evaluated using the consistency index and calibration plots.
Predictors of gastrointestinal bleeding included a history of gastrointestinal bleeding, superior mesenteric vein thrombosis, red color sign observed during endoscopy, and hepatic encephalopathy. Meanwhile, predictors of resolution of portal vein thrombosis included a history of abdominal infection, C-reactive protein and hemoglobin levels, and intake of thrombolytics. Predictors of death included abdominal infection, abdominal surgery, aspartate aminotransferase level, hepatic encephalopathy, and ascites. All models had good discriminatory power and consistency. Anticoagulation therapy significantly increased the probability of thrombotic resolution without increasing the risk of bleeding or death.
We successfully developed and validated three prediction models that can aid in the early evaluation and treatment of portal vein thrombosis.
门静脉血栓形成是肝硬化和肝细胞癌的常见并发症;然而,很少有研究报道其长期临床预后。本研究旨在建立并验证用于预测门静脉血栓形成患者胃肠道出血、门静脉血栓溶解及死亡率的易用列线图。
这项多中心回顾性队列研究纳入了425例门静脉血栓形成患者,分为训练集(n = 334)和验证集(n = 91)。使用多变量Cox回归分析建立预测模型,并使用一致性指数和校准图进行评估。
胃肠道出血的预测因素包括胃肠道出血史、肠系膜上静脉血栓形成、内镜检查时观察到的红色征以及肝性脑病。同时,门静脉血栓溶解的预测因素包括腹部感染史、C反应蛋白和血红蛋白水平以及溶栓药物的使用。死亡的预测因素包括腹部感染、腹部手术、天冬氨酸转氨酶水平、肝性脑病和腹水。所有模型均具有良好的区分能力和一致性。抗凝治疗显著增加了血栓溶解的概率,而未增加出血或死亡风险。
我们成功建立并验证了三个预测模型,可有助于门静脉血栓形成的早期评估和治疗。