Diagnostic accuracy of biomarkers measured in the hepatic vein and peripheral vein in the prediction of advanced fibrosis in patients with chronic viral hepatitis
- Authors
- Suk, Ki Tae; Kim, Dong Joon; Kim, Chang Hoon; Park, Seung Ha; Cheong, Jae Youn; Cho, Sung Won; Choi, Jong Young; Han, Kwang Hyub; Sung, Ho Taik; Hong, So Hyung; Kim, Dae Yong; Yoon, Jai Hoon; Kim, Yeon Soo; Baik, Gwang Ho; Kim, Jin Bong
- Issue Date
- Sep-2012
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Liver fibrosis; Biological markers; Hepatic veins; Extracellular matrix; Diagnosis
- Citation
- CLINICAL BIOCHEMISTRY, v.45, no.13-14, pp.1075 - 1080
- Indexed
- SCIE
SCOPUS
- Journal Title
- CLINICAL BIOCHEMISTRY
- Volume
- 45
- Number
- 13-14
- Start Page
- 1075
- End Page
- 1080
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164671
- DOI
- 10.1016/j.clinbiochem.2012.04.031
- ISSN
- 0009-9120
- 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.
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