Literature DB >> 27375134

The gamma-glutamyl transpeptidase-to-platelet ratio predicts liver fibrosis and cirrhosis in HBeAg-positive chronic HBV infection patients with high HBV DNA and normal or mildly elevated alanine transaminase levels in China.

Q Li1, W Li1, Y Huang2, L Chen3.   

Abstract

The gamma-glutamyl transpeptidase-to-platelet ratio (GPR) is a new serum diagnostic model, which is reported to be more accurate than aspartate transaminase-to-platelet ratio index (APRI) and fibrosis index based on the four factors (Fib-4) for the diagnosis of significant fibrosis and cirrhosis in chronic HBV infection (CHBVI) patients in West Africa. To evaluate the performance of the GPR model for the diagnosis of liver fibrosis and cirrhosis in HBeAg-positive CHBVI patients with high HBV DNA (≥5 log10 copies/mL) and normal or mildly elevated alanine transaminase (ALT) (≤2 times upper limit of normal (ULN)) in China. A total of 1521 consecutive CHBVI patients who underwent liver biopsies and routine laboratory tests were retrospectively screened. Of these patients, 401 treatment naïve HBeAg-positive patients with HBV DNA≥5 log10 copies/mL and ALT≤2 ULN were included. The METAVIR scoring system was adopted as the pathological diagnosis standard of liver fibrosis. Using liver histology as a gold standard, the performances of GPR, APRI, and Fib-4 for the diagnosis of liver fibrosis and cirrhosis were evaluated and compared by receiver operating characteristic (ROC) curves and the area under the ROC curves (AUROCs). Of 401 patients, 121 (30.2%), 49 (12.2%) and 17 (4.2%) were classified as having significant fibrosis (≥F2), severe fibrosis (≥F3) and cirrhosis (=F4), respectively. After estimating the AUROC to predict significant fibrosis, the performance of GPR (AUROC=0.66, 95% CI 0.60-0.72) was higher than APRI (AUROC=0.58, 95% CI 0.52-0.64, P=.002) and Fib-4 scores (AUROC=0.54, 95% CI 0.47-0.60, P<.001). After estimating the AUROC to predict severe fibrosis, the performance of GPR (AUROC=0.71, 95% CI 0.63-0.80) was also higher than APRI (AUROC=0.65, 95% CI 0.56-0.73, P=.003) and Fib-4 scores (AUROC=0.67, 95% CI 0.58-0.75, P=.001). After estimating the AUROC to predict cirrhosis, the performance of GPR (AUROC=0.73, 95% CI 0.56-0.88) was higher than APRI (AUROC=0.69, 95% CI 0.54-0.83, P=.041) and Fib-4 scores (AUROC=0.69, 95% CI 0.55-0.82, P=.012) too. The GPR is a new serum model for the diagnosis of liver fibrosis and cirrhosis and shows obvious advantages in Chinese HBeAg-positive patients with HBV DNA≥5 log10 copies/mL and ALT≤2 ULN compared with APRI and Fib-4, thus warranting its widespread use for this specific population.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  aspartate transaminase-to-platelet ratio index; chronic hepatitis B; cirrhosis; fibrosis; gamma-glutamyl transpeptidase-to-platelet ratio

Mesh:

Substances:

Year:  2016        PMID: 27375134     DOI: 10.1111/jvh.12563

Source DB:  PubMed          Journal:  J Viral Hepat        ISSN: 1352-0504            Impact factor:   3.728


  15 in total

1.  Liver Fibrosis in the Natural Course of Chronic Hepatitis B Viral Infection: A Systematic Review with Meta-Analysis.

Authors:  Mei-Hong Lin; Hai-Qiong Li; Lin Zhu; Hai-Ying Su; Li-Shan Peng; Chuang-Yuan Wang; Cai-Ping He; Xie-Er Liang; Yan Wang
Journal:  Dig Dis Sci       Date:  2021-05-18       Impact factor: 3.487

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.  Fibrosis Index Based on 4 Factors (FIB-4) Predicts Liver Cirrhosis and Hepatocellular Carcinoma in Chronic Hepatitis C Virus (HCV) Patients.

Authors:  Xu Li; Hongqin Xu; Pujun Gao
Journal:  Med Sci Monit       Date:  2019-09-27

4.  Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis.

Authors:  Xue-Ying Xu; Wu-Sheng Wang; Qi-Meng Zhang; Jun-Ling Li; Jin-Bin Sun; Tian-Tian Qin; Hong-Bo Liu
Journal:  World J Clin Cases       Date:  2019-08-06       Impact factor: 1.337

5.  Predicting Hepatitis B Virus Infection Based on Health Examination Data of Community Population.

Authors:  Ying Wang; Zhicheng Du; Wayne R Lawrence; Yun Huang; Yu Deng; Yuantao Hao
Journal:  Int J Environ Res Public Health       Date:  2019-12-02       Impact factor: 3.390

6.  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

Review 7.  Review of Serum Biomarkers and Models Derived from Them in HBV-Related Liver Diseases.

Authors:  JianPing Wu; WeiLin Mao
Journal:  Dis Markers       Date:  2020-07-21       Impact factor: 3.434

8.  Accuracy of FibroScan in analysis of liver fibrosis in patients with concomitant chronic Hepatitis B and nonalcoholic fatty liver disease.

Authors:  Qiang Li; Chenlu Huang; Wei Xu; Qiankun Hu; Liang Chen
Journal:  Medicine (Baltimore)       Date:  2020-06-05       Impact factor: 1.817

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.  Clinical and histopathological features of chronic hepatitis B virus infected patients with high HBV-DNA viral load and normal alanine aminotransferase level: A multicentre-based study in China.

Authors:  Yu-Feng Xing; Da-Qiao Zhou; Jing-Song He; Chun-Shan Wei; Wei-Chao Zhong; Zhi-Yi Han; De-Ti Peng; Mu-Min Shao; Tung-Ting Sham; Daniel Kam-Wah Mok; Chi-On Chan; Guang-Dong Tong
Journal:  PLoS One       Date:  2018-09-04       Impact factor: 3.240

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