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Diagnostic accuracy of biomarkers measured in the hepatic vein and peripheral vein in the prediction of advanced fibrosis in patients with chronic viral hepatitis

  • Ki Tae Suk
  • , Dong Joon Kim
  • , Chang Hoon Kim
  • , Seung Ha Park
  • , Jae Youn Cheong
  • , Sung Won Cho
  • , Jong Young Choi
  • , Kwang Hyub Han
  • , Ho Taik Sung
  • , So Hyung Hong
  • , Dae Yong Kim
  • , Jai Hoon Yoon
  • , Yeon Soo Kim
  • , Gwang Ho Baik
  • , Jin Bong Kim
  • Hallym University
  • SUNY Upstate Medical University
  • Inje University
  • Ajou University
  • Yonsei University
  • Stanford University

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Objectives: The accuracies of biomarkers checked in the hepatic vein (HV) and peripheral vein (PV) were compared in the prediction of advanced fibrosis (AF) of liver. Methods: Patients with chronic viral hepatitis (n = 101) who underwent hepatic venous pressure gradient, liver biopsy, and paired HV-PV samples (6 biomarkers: hyaluronic acid [HA], haptoglobin, matrix metalloproteinase-2 [MMP2], tissue inhibitor of metalloproteinases-1 [TIMP1], procollagen III N-terminal peptide [PIIINP], and apolipoprotein-A1 [Apo-A1]) were enrolled. Results: Differences were displayed between the HV and PV in the predictive logit-models for predicting AF (- 3.13 + 0.017 × MMP2. - 0.019 × haptoglobin and - 0.270 + 0.007 × HA. - 0.018 × haptoglobin, respectively). In the area under the receiver operating characteristic curves, PIIINP (0.74/0.68, p= 0.03), MMP2 (0.72/0.63, p= 0.04), HA (0.79/0.76, p= 0.94), Apo-A1 (0.56/0.48, p= 0.73), and predictive logit-model (0.81/0.78, p= 0.68) showed higher diagnostic value in the HV sample. Conclusions: While most biomarkers were correlated better with hepatic fibrosis in HV than in PV, individually and in predictive logit-models, they were inadequate to determine the degree of advanced fibrosis.

Original languageEnglish
Pages (from-to)1075-1080
Number of pages6
JournalClinical Biochemistry
Volume45
Issue number13-14
DOIs
StatePublished - Sep 2012

Bibliographical note

Funding Information:
This research was partly supported by a grant from the Ministry of Health and Welfare, Republic of Korea (no. A050021 ) and also by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology ( 2010–0021482 ).

Funding Information:
Financial support: this research was supported by a grant from the Ministry of Health and Welfare, Republic of Korea ( A102065 ) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology ( 2011–0026601 ).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biological markers
  • Diagnosis
  • Extracellular matrix
  • Hepatic veins
  • Liver fibrosis

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