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 language | English |
|---|---|
| Pages (from-to) | 1075-1080 |
| Number of pages | 6 |
| Journal | Clinical Biochemistry |
| Volume | 45 |
| Issue number | 13-14 |
| DOIs | |
| State | Published - 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)
-
SDG 3 Good Health and Well-being
Keywords
- Biological markers
- Diagnosis
- Extracellular matrix
- Hepatic veins
- Liver fibrosis
Fingerprint
Dive into the research topics of 'Diagnostic accuracy of biomarkers measured in the hepatic vein and peripheral vein in the prediction of advanced fibrosis in patients with chronic viral hepatitis'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver