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十七种非侵入性模型评估中国乙型肝炎患者肝纤维化的验证和比较。

Validation and comparison of seventeen noninvasive models for evaluating liver fibrosis in Chinese hepatitis B patients.

机构信息

Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Liver Int. 2018 Sep;38(9):1562-1570. doi: 10.1111/liv.13688. Epub 2018 Jan 24.

Abstract

BACKGROUND & AIMS: To avoid liver biopsy, many noninvasive models comprised of serum markers for liver fibrosis assessment have been developed. Given that most of them were developed in hepatitis C cohorts and few of them have been validated in Chinese hepatitis B patients, we aim to conduct this validation and compare their diagnostic accuracies in such a population.

METHODS

A total of 937 HBV-infected patients who underwent liver biopsy were included in this single-centre retrospective study. The diagnostic accuracies of the 17 noninvasive models were assessed by areas under the receiver-operating characteristic curves (AUROCs), using histologically evaluated fibrotic stages of the biopsy specimens as standards. To compare efficiencies of the models, a grading system based on AUROC levels was developed.

RESULTS

For discriminating significant fibrosis in all patients, the best three noninvasive models were King's score (AUROC = 0.756), Virahep-C model (AUROC = 0.756) and GPR (AUROC = 0.744); and for diagnosing cirrhosis, Lok index (AUROC = 0.832), FI (AUROC = 0.820) and FIB-4 (AUROC = 0.818) got the first three places. AUROCs in HBeAg-positive group were generally higher than those in HBeAg-negative group. In addition, based on the grading system, Virahep-C and GPR outstood others in evaluating liver fibrosis in all patients.

CONCLUSIONS

In Chinese HBV-infected patients, Virahep-C models and GPR had high accuracies in diagnosing liver fibrosis and cirrhosis, while the most discussed models like APRI and FIB-4 did not outstand. Assessment should take into account the HBeAg sero-status, since these noninvasive models were more appropriate for HBeAg-positive patients than HBeAg-negative ones.

摘要

背景与目的

为避免肝活检,已开发出许多包含用于评估肝纤维化的血清标志物的非侵入性模型。鉴于它们大多数是在丙型肝炎队列中开发的,并且其中很少有在乙型肝炎患者中得到验证,因此我们旨在进行这项验证,并比较它们在该人群中的诊断准确性。

方法

这项单中心回顾性研究共纳入 937 名接受肝活检的乙型肝炎病毒感染者。使用组织学评估的活检标本的纤维化阶段作为标准,通过受试者工作特征曲线(AUROC)下的面积来评估 17 种非侵入性模型的诊断准确性。为了比较模型的效率,开发了基于 AUROC 水平的分级系统。

结果

对于所有患者的显著纤维化的鉴别,最佳的三个非侵入性模型是 King 评分(AUROC=0.756)、Virahep-C 模型(AUROC=0.756)和 GPR(AUROC=0.744);对于诊断肝硬化,Lok 指数(AUROC=0.832)、FI(AUROC=0.820)和 FIB-4(AUROC=0.818)位居前三。HBeAg 阳性组的 AUROC 普遍高于 HBeAg 阴性组。此外,根据分级系统,Virahep-C 和 GPR 在评估所有患者的肝纤维化方面优于其他模型。

结论

在中国乙型肝炎病毒感染者中,Virahep-C 模型和 GPR 在诊断肝纤维化和肝硬化方面具有较高的准确性,而最受关注的模型如 APRI 和 FIB-4 并不突出。评估应考虑 HBeAg 血清状态,因为这些非侵入性模型更适用于 HBeAg 阳性患者而非 HBeAg 阴性患者。

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