Literature DB >> 23768703

Comparisons of noninvasive indices based on daily practice parameters for predicting liver cirrhosis in chronic hepatitis B and hepatitis C patients in hospital and community populations.

Po-Lin Tseng1, Jing-Houng Wang, Chao-Hung Hung, Hung-Da Tung, Tsung-Ming Chen, Wu-Shiung Huang, Shiann-Long Liu, Tsung-Hui Hu, Chuan-Mo Lee, Sheng-Nan Lu.   

Abstract

Several noninvasive indices have been proposed for predicting liver cirrhosis (LC), particularly in chronic hepatitis C (CHC). In this study, noninvasive indices for predicting LC and hepatocellular carcinoma (HCC) were compared. A total of 119 chronic hepatitis B (CHB) patients and 240 CHC patients were evaluated in a hospital-based setting using various predictors for pathologic LC such as aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio (AAR), AAR-to-platelet ratio index (AARPRI), AST-to-platelet ratio index (APRI), age-platelet (AP) index, and platelet counts. In addition, these indices were used to predict LC [based on ultrasound (US)] in a community-based population of 201 patients with endemic hepatitis C virus (HCV). These indices were evaluated for their ability to predict HCC in CHB and CHC patients (n = 200). In CHB patients, the diagnostic performance of all indices was inadequate for predicting LC (areas under receiver operating characteristic curves < 0.7). Thrombocytopenia consistently demonstrated comparable accuracy to AARPRI ≥ 0.7 in CHB and AP index ≥ 7.0 in CHC patients. The best cut-off values for APRI, AARPRI, and AP index in predicting LC in CHC were 1.3, 0.8, and 7.0, respectively. The best cut-off values for APRI, AARPRI, and AP index in predicting LC (based on US) were 1.0, 1.2, and 8.0, respectively, in a HCV endemic community. An AAR > 1.4 might be a useful tool to identify candidates at high risk for HCC. In conclusion, platelet count was both consistent and accurate in predicting LC. An AAR > 1.4 is proposed as a possible surrogate marker for identifying patients at high risk for developing HCC.
Copyright © 2012. Published by Elsevier B.V.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23768703     DOI: 10.1016/j.kjms.2012.11.007

Source DB:  PubMed          Journal:  Kaohsiung J Med Sci        ISSN: 1607-551X            Impact factor:   2.744


  6 in total

Review 1.  Practical approach in hepatitis B e antigen-negative individuals to identify treatment candidates.

Authors:  Ahmad Najib Azmi; Soek-Siam Tan; Rosmawati Mohamed
Journal:  World J Gastroenterol       Date:  2014-09-14       Impact factor: 5.742

2.  Prognostic value of non-invasive fibrosis indices post-curative resection in hepatitis-B-associated hepatocellular carcinoma patients.

Authors:  Ting-Ting Zhang; Si-Si Ye; Jun Liang; Li Bai
Journal:  Exp Biol Med (Maywood)       Date:  2020-03-29

3.  New noninvasive index for predicting liver fibrosis in Asian patients with chronic viral hepatitis.

Authors:  Hung-Wei Wang; Cheng-Yuan Peng; Hsueh-Chou Lai; Wen-Pang Su; Chia-Hsin Lin; Po-Heng Chuang; Sheng-Hung Chen; Ching-Hsiang Chen; Wei-Fan Hsu; Guan-Tarn Huang
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

4.  Non-invasive histologic markers of liver disease in patients with chronic hepatitis B.

Authors:  Simin Dokht Shoaei; Shahnaz Sali; Mehdi Karamipour; Esmail Riahi
Journal:  Hepat Mon       Date:  2014-02-28       Impact factor: 0.660

5.  Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.

Authors:  Runmin Wei; Jingye Wang; Xiaoning Wang; Guoxiang Xie; Yixing Wang; Hua Zhang; Cheng-Yuan Peng; Cynthia Rajani; Sandi Kwee; Ping Liu; Wei Jia
Journal:  EBioMedicine       Date:  2018-08-10       Impact factor: 8.143

6.  Can Serum ST2 Levels Be Used as a Marker of Fibrosis in Chronic Hepatitis B Infection?

Authors:  Erkin Oztas; Ufuk Baris Kuzu; Neslihan Inci Zengin; Ismail Hakki Kalkan; Fatih Saygili; Hakan Yildiz; Huseyin Tugrul Celik; Meral Akdogan; Mesut Yalin Kilic; Aydin Seref Koksal; Bulent Odemis; Nuretdin Suna; Ertugrul Kayacetin
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.817

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.