Literature DB >> 29314613

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

Minhui Dong1, Jingwen Wu1, Xueping Yu1, Jing Li1, Sisi Yang1, Xun Qi1, Richeng Mao1, Yongmei Zhang1, Jie Yu1, Haoxiang Zhu1, Feifei Yang1, Yanli Qin1, Jiming Zhang1.   

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.
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  hepatitis B; liver fibrosis; noninvasive models

Mesh:

Substances:

Year:  2018        PMID: 29314613     DOI: 10.1111/liv.13688

Source DB:  PubMed          Journal:  Liver Int        ISSN: 1478-3223            Impact factor:   5.828


  15 in total

1.  The Combination of Age, International Standardized Ratio, Albumin and γ-Glutamyl Transpeptidase (AIAG), Tumor Size and Alpha Fetoprotein (AFP) Stage as the Prognostic Model for Hepatitis B-Related Hepatocellular Carcinoma.

Authors:  Shuangchi Liu; Zhiduan Xu; Zhuling Fang; Dengyong Zhang; Zhongqiang Qin; Longfei Fan; Jiakang Duan; Hongxiang Yin; Yigang Zhang; Qing Pang; Yi Tan
Journal:  Int J Gen Med       Date:  2021-08-10

2.  A Noninvasive Score to Predict Liver Fibrosis in HBeAg-Positive Hepatitis B Patients with Normal or Minimally Elevated Alanine Aminotransferase Levels.

Authors:  Yanping Chen; Yanping Li; Na Li; Xiude Fan; Chunyan Li; Pingping Zhang; Qunying Han; Zhengwen Liu
Journal:  Dis Markers       Date:  2018-10-14       Impact factor: 3.434

3.  Liver stiffness and serum markers for excluding high-risk varices in patients who do not meet Baveno VI criteria.

Authors:  Hong Zhou; Jun Long; Han Hu; Cai-Yun Tian; Shi-De Lin
Journal:  World J Gastroenterol       Date:  2019-09-21       Impact factor: 5.742

4.  Gamma-glutamyl transpeptidase-to-platelet ratio and the fibrosis-4 index in predicting hepatitis B virus-related hepatocellular carcinoma development in elderly chronic hepatitis B patients in China: A single-center retrospective study.

Authors:  Yun-Feng Zhu; Yi-Fei Tan; Xi Xu; Jin-Li Zheng; Bo-Han Zhang; Huai-Rong Tang; Jia-Yin Yang
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.817

5.  INR-to-platelet ratio (INPR) as a novel noninvasive index for predicting liver fibrosis in chronic hepatitis B.

Authors:  Rongrong Ding; Jianming Zheng; Dan Huang; Yanbing Wang; Xiufen Li; Xinlan Zhou; Li Yan; Wei Lu; Zongguo Yang; Zhanqing Zhang
Journal:  Int J Med Sci       Date:  2021-01-09       Impact factor: 3.738

6.  A non-invasive model for predicting liver fibrosis in HBeAg-positive patients with normal or slightly elevated alanine aminotransferase.

Authors:  Ling Li; Yongan Ye; Yun Ran; Shuyan Liu; Qiyuan Tang; Yaya Liu; Xuejiao Liao; Juanjuan Zhang; Guohui Xiao; Jian Lu; Guoliang Zhang; Qing He; Shiping Hu
Journal:  Medicine (Baltimore)       Date:  2021-04-30       Impact factor: 1.817

7.  Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection.

Authors:  Rongrong Ding; Xinlan Zhou; Dan Huang; Yanbing Wang; Xiufen Li; Li Yan; Wei Lu; Zongguo Yang; Zhanqing Zhang
Journal:  Biomed Res Int       Date:  2021-04-10       Impact factor: 3.411

8.  Clinical Non-invasive Model to Predict Liver Inflammation in Chronic Hepatitis B With Alanine Aminotransferase ≤ 2 Upper Limit of Normal.

Authors:  Shanshan Chen; Haijun Huang
Journal:  Front Med (Lausanne)       Date:  2021-06-02

9.  Comparison and evaluation of non-invasive models in predicting liver inflammation and fibrosis of chronic hepatitis B virus-infected patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels.

Authors:  Lingmei Wang; Jiao Li; Kai Yang; Hao Zhang; Qin Wang; Xiongwen Lv; Shihe Guan
Journal:  Medicine (Baltimore)       Date:  2020-06-05       Impact factor: 1.817

10.  Optimizing the Use of the Gamma-Glutamyl Transpeptidase-to-Platelet Ratio and Transient Elastography to Identify Liver Cirrhosis in Patients with Chronic Hepatitis B Concurrent with Nonalcoholic Fatty Liver Disease.

Authors:  Geng-Lin Zhang; Shi-Cheng Xu; Jie Zeng; Zheng Chen; Yi-Ping Li; Ting Zhang; Zhi-Liang Gao
Journal:  Dis Markers       Date:  2019-12-05       Impact factor: 3.434

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.