实用肝脏病杂志 ›› 2011, Vol. 14 ›› Issue (4): 280-282.doi: 10.3969/j.issn.1672-5069.2011.04.015

• 论著 • 上一篇    下一篇

肝硬化门静脉血栓无创性预测模型的研究

郑盛,刘海,肖琼怡,朱为梅,尹静,王建刚,郭致平,王玉波,   

  1. 650011昆明市 云南省第三人民医院消化内科(郑盛,刘海,尹静,朱为梅,肖琼怡,王建刚,郭致平);消化内镜中心(王玉波)
  • 收稿日期:2011-01-12 修回日期:2016-04-15 出版日期:2011-08-10 发布日期:2016-04-15
  • 作者简介:郑盛 男,29岁,硕士研究生。主要从事肝胆系统疾病的临床诊断与治疗研究。Email:zheng_sheng523@163.com

A noninvasive model for predicting existence of portal vein thrombosis in liver cirrhosis patients

ZHENG Sheng,LIU Hai,XIAO Qiongyi,et al.   

  1. Department of Gastroenterology;Yunnan Third People's Hospital, Kunming 650011,China
  • Received:2011-01-12 Revised:2016-04-15 Online:2011-08-10 Published:2016-04-15

摘要: 目的 建立由血清指标和腹部B超组成的无创性诊断模型来预测肝硬化患者门静脉血栓(PVT)的形成。方法 回顾性分析我院消化内科2007年1月~2010年1月确诊的肝硬化患者280例,随机抽取166例作为模型组,84例作为验证组,均行腹部螺旋CT增强扫描以了解有无门静脉血栓形成。记录患者肝硬化病因、年龄、性别以及入院后腹部B超和实验室常用指标,包括血常规、生化、凝血酶原时间、门静脉内径、脾脏厚度等参数。在模型组,对指标依次行单因素分析和多因素Logistic回归分析,筛选出相应的独立预测因子,在此基础上构建肝硬化门静脉血栓的指数模型,最后在独立的验证组中检验模型的诊断效率。结果 模型组建立了一个由血浆D-二聚体、门静脉内径(MPV)、血小板(PLT)三项指标组成的综合指数模型(PVT index)。受试者工作曲线(ROC)分析显示PVT index值为7.2时,其预测肝硬化门静脉血栓形成的ROC曲线下面积(AUC)为0.864(0.753,0.946),诊断敏感性为82.1%,特异性为86.7%,阳性预测值为93.53%,阴性预测值为64.58%,诊断精确性为81.77%。将PVT index以同样标准应用于验证组,ROC曲线下面积为0.886(0.785,0.962),诊断精确性为82.16%。结论 由血浆D-二聚体、门静脉内径、血小板等指标构建的无创性预测模型有助于早期预防和发现PVT的形成。

关键词: 肝硬化, 门静脉血栓, 预测模型

Abstract: Objective To develop a noninvasive dignositic model comprising of transabdominal ultrasonography and serum markers for assessing portal vein thrombosis(PVT)in liver cirrhosis patients. Methods During Jan,2007 to Jan,2010,280 cirrhotic patients were randomly allocated to either an estimation group or a validation group. Abdominal spiral CT was performed and whether portal vein thrombosis existed or not was assessed in every patient. Seventeen common ultrasonographic and serum markers were analyzed initially in the estimation group to derive a predictive model. The model created was then assessed with ROC analysis. It was also applied to the validation group to derive its accuracy. Results Among severteen variables associated with portal vein thrombosis selected by univariate analysis,the D-dimer,main portal vein width and platelet were indentified by multivariate Logistic regression analysis as independent risk factors of portal vein thrombosis. A portal vein thrombosis index constructed from the above three markers was established. In ROC analysis,the AUC was 0.864(0.753,0.946)for predicting existence of portal vein thrombosis using the optimal cutoff score. The diagonstic sensitivity,specificity, positive predictive value,negative predictive value and accuracy were 82.1%,86.7%,93.53%,64.58%,81.77% respectively. For the validation group,the AUC and diagnostic accuracy were 0.886(0.785,0.962)and 82.16% respectively. Conclusion A noninvasive model consisting of the D-dimer,main portal vein width and platelet is helpful in predicting existence of portal vein thrombosis in patients with cirrhosis.

Key words: Liver cirrhosis, Portal vein thrombosis, Predictive model