几个简单的，非侵入性的模型来评估治疗慢性乙型肝炎显著

StephenW

Croat Med J. 2015 Jun 19;56(3):272-9.
Performance of several simple, noninvasive models for assessing significant liver fibrosis in patients with chronic hepatitis B.
Zeng X, Xu C, He D, Li M, Zhang H, Wu Q, Xiang D, Wang Y1.
1Yuming Wang, Department of Infectious Diseases, Southwest Hospital, Third Military Medical University, Chongqing 400038, China, [email protected].
Abstract
AIM:

To compare the performance of several simple, noninvasive models comprising various serum markers in diagnosing significant liver fibrosis in the same sample of patients with chronic hepatitis B (CHB) with the same judgment standard.
METHODS:

A total of 308 patients with CHB who had undergone liver biopsy, laboratory tests, and liver stiffness measurement (LSM) at the Southwest Hospital, Chongqing, China between March 2010 and April 2014 were retrospectively studied. Receiver operating characteristic (ROC) curves and area under ROC curves (AUROCs) were used to analyze the results of the models, which incorporated age-platelet (PLT) index (API model), aspartate transaminase (AST) to alanine aminotransferase (ALT) ratio (AAR model), AST to PLT ratio index (APRI model), γ-glutamyl transpeptidase (GGT) to PLT ratio index (GPRI model), GGT-PLT-albumin index (S index model), age-AST-PLT-ALT index (FIB-4 model), and age-AST-PLT-ALT-international normalized ratio index (Fibro-Q model).
RESULTS:

The AUROCs of the S index, GPRI, FIB-4, APRI, API, Fibro-Q, AAR, and LSM for predicting significant liver fibrosis were 0.726 (P<0.001), 0.726 (P<0.001), 0.621 (P=0.001), 0.619 (P=0.001), 0.580 (P=0.033), 0.569 (P=0.066), 0.495 (P=0.886), and 0.757 (P<0.001), respectively. The S index and GPRI had the highest correlation with histopathological scores (r=0.373, P<0.001; r=0.372, P<0.001, respectively) and LSM values (r=0.516, P<0.001; r=0.513, P<0.001, respectively). When LSM was combined with S index and GPRI, the AUROCs were 0.753 (P<0.001) and 0.746 (P<0.001), respectively.
CONCLUSION:

S index and GPRI had the best diagnostic performance for significant liver fibrosis and were robust predictors of significant liver fibrosis in patients with CHB for whom transient elastography was unavailable.

StephenW

克罗地亚医学杂志2015年6月19日; 56（3）：272-9。
几个简单的，非侵入性的模型来评估治疗慢性乙型肝炎显著肝纤维化的表现
曾X，徐C，他D，李毅男，张H，吴庆，湘D，王Y1。
1Yuming王，感染科，西南医院，第三军医大学，重庆400038，中国，[email protected]。
抽象
目的：

为了比较几种简便，无创模型包括在慢性乙型肝炎（CHB）具有相同的判断标准相同的样品中诊断显著肝纤维化各种血清标志物的性能。
方法：

总共有308慢性乙肝患者谁经历了肝活检，实验室检查和肝脏硬度测量（LSM）在西南医院，重庆，中国2010年3月2014年4月间进行回顾性研究。接收机ROC曲线下工作特征（ROC）曲线和区域（AUROCs）被用来分析模型，其中纳入年龄血小板（PLT）指数（API模型），天冬氨酸转氨酶（AST），以丙氨酸转氨酶的结果（ALT）比（AAR模型），AST为PLT比值指数（APRI模型），γ谷氨酰转肽酶（GGT）为PLT比值指数（GPRI模型），GGT-PLT-白蛋白指数（S指数模型），年龄AST-PLT- ALT指数（FIB-4型），和年龄AST-PLT-ALT-国际标准化比值指数（纤维原-Q型​​）。
结果：

在S指数的AUROCs，GPRI，FIB-4，APRI，API，纤维原-Q，AAR和LSM预测显著肝纤维化为0.726（P <0.001），0.726（P <0.001），0.621（P = 0.001 ），0.619（P = 0.001），0.580（P = 0.033），0.569（P = 0.066），0.495（P = 0.886），和0.757（P <0.001），分别。在S指数和GPRI曾与组织病理学评分最高的相关性（r = 0.373，P <0.001; R = 0.372，P <0.001）和LSM值相关（r = 0.516，P <0.001; R = 0.513，P <0.001 ，分别）。当LSM合并以S指数和GPRI，所述AUROCs为0.753（p <0.001）和0.746（p <0.001），分别。
结论：

指标及GPRI有用于显著肝纤维化最好的诊断性能和均为显著肝纤维化稳健预测CHB患者对他们来说，瞬时弹性成像是不可用的。