Clinical biochemistry · 2012
Diagnostic accuracy of biomarkers measured in the hepatic vein and peripheral vein in the prediction of advanced fibrosis in patients with chronic viral hepatitis.
Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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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
Аннотация
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.
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.
Предметные рубрики MeSH
AdultApolipoprotein A-IArea Under CurveBiomarkersBiopsy, Fine-NeedleFemaleHaptoglobinsHepacivirusHepatic VeinsHepatitis B virusHepatitis B, ChronicHepatitis C, ChronicHumansLiver CirrhosisLogistic ModelsMaleMatrix Metalloproteinase 2Middle AgedPeptide FragmentsPredictive Value of TestsProcollagenProspective StudiesRisk FactorsSensitivity and SpecificitySeverity of Illness IndexTissue Inhibitor of Metalloproteinase-1