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非侵入性指标预测中重度食管静脉曲张的临床研究
引用本文:白平平,朴云峰,秦俊杰. 非侵入性指标预测中重度食管静脉曲张的临床研究[J]. 中国厂矿医学, 2008, 21(3): 267-269
作者姓名:白平平  朴云峰  秦俊杰
作者单位:1. 吉林大学第四医院消化科,吉林省长春市,130011
2. 吉林大学第一医院消化科
摘    要:目的探讨血小板计数(PC)、脾脏指数(SI)、血小板计数/脾脏指数(PC/SI)、门静脉宽度(PV)、脾静脉宽度(SV)、门静脉宽度/脾静脉宽度(PV/SV)在预测中重度食管静脉曲张(EV)中的意义。方法测量196例肝硬化患者的PV、SV、脾脏长径(SL)及厚度(ST)(SI=SL×ST)、PC,应用ROC曲线下面积(AUC)的值评价上述非侵入性指标预测中重度EV的准确性。结果PC/S1、PC、PV/SV的AUC分别为0.870、0.781、0.655;PV、SV、SI的AUC不足0.5。PC/SI≤0.97时,预测中重度EV的敏感度为89.4%,特异度为70.6%。结论PC/SI是预测中重度EV较理想的非侵入性指标,当PC/SI〈0.97时,判断中重度EV存在的敏感度、特异度最高。

关 键 词:食管静脉曲张  非侵入性  血小板计数/脾脏指数  肝硬化

Non-invasive prediction of presence of medium or large esophageal varices in cirrhosis
BAI Ping-ping,PIAO Yun-feng,QIN Jun-jie. Non-invasive prediction of presence of medium or large esophageal varices in cirrhosis[J]. Chinese Medicine of Factory and Mine, 2008, 21(3): 267-269
Authors:BAI Ping-ping  PIAO Yun-feng  QIN Jun-jie
Affiliation:BAI Ping-ping,PIAO Yun-feng,QIN Jun-jie.Department of Gastroenterology,Fouth Hospital,Jilin University,Changclun 130021,China
Abstract:Objective To evaluate the non-invasive predictive indexas of presence of medium or large esophageal varices in cirrhosis, such as platelet count (PC) , splenic index (SI) , PC/SI ,portal vein diameter (PV) , splenic vein diameter ( SV ) and PV/SV. Methods The retrospective analysis was performed in 196 patients with hepatic cirrhosis. The PV ,SV ,splenic length (SL) ,splenic thickness (ST) ( SI = SL × ST), and PC were recorded. The accuracy of all the non-invasive parameters in predicting the presence of medium or large varices was evaluated by the area under the receiver operating characteristic ( ROC ) curves (AUC). Results The AUC value generated by the ROC curves for PC/ SI was 0. 870,higher than the others. Conclusions It suggested that PC/SI is an ideal non-invasive predictive indexes of the presence of the medium or large varices. When PC/SI 〈0. 97 ,the sensitivity (89. 4% ) and specificity (70. 6% ) are highest in predicting medium or large varices.
Keywords:Esophageal varices  Non-invasive  Platelet count/splenic index  Hepatic cirrhosis
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