Alanine aminotransferase influencing performances of routine available tests detecting hepatitis B-related cirrhosis.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Source:
      Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9435672 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2893 (Electronic) Linking ISSN: 13520504 NLM ISO Abbreviation: J Viral Hepat Subsets: MEDLINE
    • Publication Information:
      Original Publication: Oxford ; Boston : Blackwell Scientific Publications, 1994-
    • Subject Terms:
    • Abstract:
      The performances of routine tests such as FIB-4 and APRI in detecting cirrhosis and significant fibrosis in chronic hepatitis B (CHB) have been shown to be discrepant between studies. Novel tests such as red cell distribution width-platelet ratio (RPR), γ-glutamyl transpeptidase to platelet ratio (GPR) and easy liver fibrosis test (eLIFT) are introduced recently. To evaluate the aminotransferase influence on the performance of these routine tests, a total of 1005 CHB patients who underwent liver biopsies and routine tests were retrospectively analysed. The diagnostic cut-offs referring to likelihood ratio were determined for excluding or including cirrhosis diagnosis and also for ruling in significant fibrosis diagnosis. The performances of RPR, FIB-4, eLIFT and APRI in detecting cirrhosis seemed improved at higher ALT levels, while GPR was conversely impaired. The likelihood ratio was ∝ for APRI cut-off 2 diagnosing cirrhosis in ALT < 2 upper limit of normal (ULN), 14.6 for APRI cut-off 1.5 determining significant fibrosis in ALT ≤ 5ULN and 20.6 for FIB-4 cut-off 3.2 diagnosing ≥ F3 in the total cohort, respectively. The optimal cut-offs for cirrhosis diagnosis were increased with higher ALTs by tests which included aminotransferase, but not for RPR. The proportions of patients classified as having cirrhosis or no cirrhosis stratified by ALT level cut-offs were superior. Stepwise applying RPR, GPR and eLIFT would determine 60% of patients as having cirrhosis or no cirrhosis with an accuracy of 93.0%. In conclusion, the performance of aminotransferase comprising tests in detecting cirrhosis in CHB were influenced by ALT levels. Thus, ALT stratified cut-offs may be a preferred alternative. In resource-limited settings, stepwise applying routine tests could be recommended as a preferred measurement for cirrhosis detection.
      (© 2020 John Wiley & Sons Ltd.)
    • References:
      Peng CY, Chien RN, Liaw YF. Hepatitis B virus-related decompensated liver cirrhosis: Benefits of antiviral therapy. J Hepatol. 2012;57:442-450.
      Liaw YF, Sung JJ, Chow WC, et al. Lamivudine for patients with chronic hepatitis B and advanced liver disease. N Engl J Med. 2004;351:1521-1531.
      Marcellin P, Gane E, Buti M, et al. Regression of cirrhosis during treatment with tenofovir disoproxil fumarate for chronic hepatitis B: a 5-year open-label follow-up study. Lancet. 2013;381:468-475.
      Sarin SK, Kumar M, Lau GK, et al. Asian-Pacific clinical practice guidelines on the management of hepatitis B: a 2015 update. Hepatol Int. 2016;10:1-98.
      Terrault NA, Lok ASF, McMahon BJ, et al. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology. 2018;67:1560-1599.
      EASL. EASL 2017 Clinical Practice Guidelines on the management of hepatitis B virus infection. J Hepatol. 2017;2017(67):377-398.
      Chen YP, Peng J, Hou JL. Non-invasive assessment of liver fibrosis in patients with chronic hepatitis B. Hepatol Int. 2013;7:356-368.
      Chen YP, Liang XE, Dai L, et al. Improving transient elastography performance for detecting hepatitis B cirrhosis. Dig Liver Dis. 2012;44:61-66.
      Liang XE, Zhong C, Huang L, et al. Optimization of hepatitis B cirrhosis detection by stepwise application of transient elastography and routine biomarkers. J Gastroenterol Hepatol. 2017;32:459-465.
      Kim BK, Kim SA, Park YN, et al. Noninvasive models to predict liver cirrhosis in patients with chronic hepatitis B. Liver Int. 2007;27:969-976.
      Wai CT, Cheng CL, Wee A, et al. Non-invasive models for predicting histology in patients with chronic hepatitis B. Liver Int. 2006;26:666-672.
      Kim BK, Kim DY, Park JY, et al. Validation of FIB-4 and comparison with other simple nonin-vasive indices for predicting liver fibrosis and cirrhosis in hepatitis B virus-infected patients. Liver Int. 2010;30:546-553.
      Sebastiani G, Castera L, Halfon P, et al. The impact of liver disease aetiology and the stages of hepatic fibrosis on the performance of non-invasive fibrosis biomarkers: an international study of 2411 cases. Aliment Pharmacol Ther. 2011;34:1202-1216.
      Xiao G, Yang J, Yan L. Comparison of diagnostic accuracy of aspartate aminotransferase to platelet ratio index and fibrosis-4 index for detecting liver fibrosis in adult patients with chronic hepatitis B virus infec-tion: a systemic review and meta-analysis. Hepatology. 2015;61:292-302.
      Zhang ZQ, Huang LW, Chen YP, et al. Routine indexes for cirrhosis and significant fibrosis detection inpatients with compensated chronic hepatitis B. Dig Liver Dis. 2019;51:127-134.
      Chen B, Ye B, Zhang J, et al. RDW to platelet ratio: a novel noninvasive index for predicting hepatic fibrosis and cirrhosis in chronic hepatitis B. PLoS ONE. 2013;8:e68780.
      Lee HW, Kang W, Kim BK, et al. Red cell volume distribution width-to-platelet ratio in assessment of liver fibrosis in patients with chronic hepatitis B. Liver Int. 2016;36:24-30.
      Lemoine M, Shimakawa Y, Nayagam S, et al. The gamma-glutamyl transpeptidase to platelet ratio (GPR) predicts significant liver fibrosis and cirrhosis in patients with chronic HBV infection in West Africa. Gut. 2016;65:1369-1376.
      Boursier J, de Ledinghen V, Leroy V, et al. A stepwise algorithm using an at-a-glance first-line test for the non-invasive diagnosis of advanced liver fibrosis and cirrhosis. J Hepatol. 2017;66:1158-1165.
      Afdhal NH, Curry M. Technology evaluation: a critical step in the clinical utilization of novel diagnostic tests for liver fibrosis. J Hepatol. 2007;46:543-545.
      Chen YP, Liang XE. Non-invasive assessment of liver fibrosis: reduce or substitute the need for liver biopsy? Liver Int. 2015;35:2483.
      Chen YP, Hu XM, Liang XE, et al. Stepwise application of fibrosis index based on four factors, red cell distribution width-platelet ratio, and aspartate aminotransferase-platelet ratio for compensated hepatitis B fibrosis detection. J Gastroenterol Hepatol. 2018;33:256-263.
      Sebastiani G, Vario A, Guido M, et al. Stepwise combination algorithms of non-invasive markers to diagnose significant fibrosis in chronic hepatitis C. J Hepatol. 2006;44:686-693.
      Wai CT, Greenson JK, Fontana RJ, et al. A simple non-invasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology. 2003;38:518-526.
      Vallet-Pichard A, Mallet V, Nalpas B, et al. FIB- 4: an inexpensive and accurate marker of fibrosis in HCV infection. Comparison with liver biopsy and Fibrotest. Hepatology. 2007;46:32-36.
      Poynard T, Halfon P, Castera L, et al. Standardization of ROC curve areas for diagnostic evaluation of liver fibrosis markers based on prevalences of fibrosis stages. Clin Chem. 2007;53:1615-1622.
      Jaeschke R, Guyatt GH, Sackett DL, et al. Users' guides to the medical literture III. How to use an article about a diagnostic test B. What are the results and will they help me in caring for my patients? JAMA. 1994;271:703-707.
      Castera L. Transient elastography and other noninvasive tests to assess hepatic fibrosis in patients with viral hepatitis. J Viral Hepat. 2009;16:300-314.
      Kim WR, Berg T, Asselah T, et al. Evaluation of APRI and FIB-4 scoring systems for non-invasive assessment of hepatic fibrosis in chronic hepatitis B patients. J Hepatol. 2016;64:773-780.
      Yano M, Kumada H, Kage M, et al. The long-term pathological evolution of chronic hepatitis C. Hepatology. 1996;23:1334-1340.
      Chu CM, Karayiannis P, Fowler MJ, et al. Natural history of chronic hepatitis B virus infection in Taiwan: studies of hepatitis B virus DNA in serum. Hepatology. 1985;5:431-434.
      Bourliere M, Penaranda G, Ouzan D, et al. Optimized stepwise combination algorithms of non-invasive liver fibrosis scores including Hepascore in hepatitis C virus patients. Aliment Pharmacol Ther. 2008;28:458-467.
      Sebastiani G, Halfon P, Castera L, et al. SAFE biopsy: a validated method for large-scale staging of liver fibrosis in chronic hepatitis C. Hepatology. 2009;49:1821-1827.
      Castera L, Sebastiani G, Le Bail B, et al. Prospective comparison of two algorithms combining non-invasive methods for staging liver fibrosis in chronic hepatitis C. J Hepatol. 2010;52:191-198.
    • Contributed Indexing:
      Keywords: aminotransferase; chronic hepatitis B; cirrhosis; routine test; significant fibrosis; stepwise application
    • Accession Number:
      0 (Biomarkers)
      EC 2.6.1.2 (Alanine Transaminase)
    • Publication Date:
      Date Created: 20200319 Date Completed: 20210810 Latest Revision: 20210810
    • Publication Date:
      20221213
    • Accession Number:
      10.1111/jvh.13293
    • Accession Number:
      32187804