Objectives: To evaluate the performance of a new mathematical model gamma-glutamyl transpeptidase to cholinesterase and platelet ratio (GCPR) versus gamma-glutamyl transpeptidase to platelet ratio (GPR) in predicting significant fibrosis and cirrhosis of chronic hepatitis B.
Methods: A complete cohort of 2343 patients was divided into early and late cohort depending on the time of liver biopsy. With reference to the Scheuer standard, liver pathologic stage 2 or higher and stage 4 or higher were defined as significant fibrosis and cirrhosis, respectively. Receiver operating characteristic (ROC) curve was used to evaluate the performance of investigated models.
Results: In the early cohort, the areas under ROC curves (AUROCs) of GCPR in predicting significant fibrosis of hepatitis B e antigen (HBeAg)-positive and HBeAg-negative patients (0.782 and 0.775) were both significantly greater than those of GPR (0.748 and 0.747) (Z = 8.198 and Z = 6.023, both p <0.0001); the AUROCs of GCPR in predicting cirrhosis of HBeAg-positive and HBeAg-negative patients (0.842 and 0.861) were both significantly greater than those of GPR (0.802 and 0.823) (Z = 6.686 and Z = 6.116, both p <0.0001). In early, late and complete cohorts, using a single cutoff of GCPR > 0.080, the specificities of GCPR in predicting significant fibrosis of HBeAg-positive patients were 83.3%, 88.2% and 85.0% and of HBeAg-negative patients were 87.6%, 87.4% and 87.6%, respectively; and the sensitivities of GCPR in predicting cirrhosis of HBeAg-positive patients were 81.9%, 88.7% and 84.2% and of HBeAg-negative patients were 83.1%, 82.1% and 82.7%, respectively.
Conclusions: GCPR has higher performance than GPR in predicting significant fibrosis and cirrhosis of chronic hepatitis B. (C) 2018 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.
[1]Fudan Univ, Shanghai Publ Hlth Clin Ctr, Dept Hepatobiliary Med, Caolang Rd 2901, Shanghai 201508, Peoples R China;
[2]Wenzhou Med Univ, Affiliated Hosp 1, Dept Infectol, Wenzhou, Peoples R China
(8.0+极速模式)