BACKGROUND: Testing for hepatitis C virus core antigen (HCV Ag) may represent a complementary tool to anti-HCV and HCV-RNA in the diagnosis and monitoring of HCV infection. OBJECTIVE: To evaluate the performance characteristics of the automated Abbott ARCHITECT HCV Ag assay. STUDY DESIGN: Five sites analyzed over 3000 routine serum samples from populations at different risk, comparing HCV Ag results with anti-HCV screening and supplemental assay results and with HCV-RNA. RESULTS: The HCV Ag assay showed a specificity of 100%, a good precision (CV<10%) and excellent dilution linearity (r>0.999). The sensitivity (3 fmol/L) corresponds to 700-1100 IU/mL of HCV-RNA. A non-linear correlation with HCV-RNA was found: r=0.713 vs. Siemens bDNA (523 specimens), r=0.736 vs. Roche Cobas TaqMan (356 specimens) and r=0.870 vs. Abbott Real-Time PCR (273 specimens). HCV Ag quantitation was equally effective on different HCV genoypes (239 for genotype 1/1a/1b/1c, 108 for genotype 2/2a/2c, 86 for genotype 3/3a, 50 for genotype 4/4a/4c/4d). Testing of subjects at high risk for HCV and with potential or actual impairment of the immune system identified 2 cases negative for anti-HCV and positive for HCV Ag on 361 hemodialyzed (0.6%) and 7 cases on 97 (7.2%) among transplant recipients. HCV Ag positivity anticipated anti-HCV seroconversion in all three cases of acute hepatitis C. CONCLUSIONS: HCV Ag may be used as reflex testing on anti-HCV positive individuals to confirm or exclude an active infection, and on subjects with acute hepatitis or belonging to high risk groups.
BACKGROUND: Testing for hepatitis C virus core antigen (HCV Ag) may represent a complementary tool to anti-HCV and HCV-RNA in the diagnosis and monitoring of HCV infection. OBJECTIVE: To evaluate the performance characteristics of the automated Abbott ARCHITECT HCV Ag assay. STUDY DESIGN: Five sites analyzed over 3000 routine serum samples from populations at different risk, comparing HCV Ag results with anti-HCV screening and supplemental assay results and with HCV-RNA. RESULTS: The HCV Ag assay showed a specificity of 100%, a good precision (CV<10%) and excellent dilution linearity (r>0.999). The sensitivity (3 fmol/L) corresponds to 700-1100 IU/mL of HCV-RNA. A non-linear correlation with HCV-RNA was found: r=0.713 vs. Siemens bDNA (523 specimens), r=0.736 vs. Roche Cobas TaqMan (356 specimens) and r=0.870 vs. Abbott Real-Time PCR (273 specimens). HCV Ag quantitation was equally effective on different HCV genoypes (239 for genotype 1/1a/1b/1c, 108 for genotype 2/2a/2c, 86 for genotype 3/3a, 50 for genotype 4/4a/4c/4d). Testing of subjects at high risk for HCV and with potential or actual impairment of the immune system identified 2 cases negative for anti-HCV and positive for HCV Ag on 361 hemodialyzed (0.6%) and 7 cases on 97 (7.2%) among transplant recipients. HCV Ag positivity anticipated anti-HCV seroconversion in all three cases of acute hepatitis C. CONCLUSIONS: HCV Ag may be used as reflex testing on anti-HCV positive individuals to confirm or exclude an active infection, and on subjects with acute hepatitis or belonging to high risk groups.
Authors: A Alsiö; A Jannesson; N Langeland; C Pedersen; M Färkkilä; M R Buhl; K Mørch; J Westin; K Hellstrand; G Norkrans; M Lagging Journal: Eur J Clin Microbiol Infect Dis Date: 2011-11-24 Impact factor: 3.267
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Authors: Linh Thuy Nguyen; Linda Dunford; Ines Freitas; Paul Holder; Lan Anh Nguyen; Joanne O'Gorman; Jeff Connell; Michael Carr; William Hall; Cillian De Gascun Journal: J Clin Microbiol Date: 2015-05-20 Impact factor: 5.948
Authors: Jake R Morgan; Elizabeth Marsh; Alexandra Savinkina; Sonjelle Shilton; Shaun Shadaker; Tengiz Tsertsvadze; George Kamkamidze; Maia Alkhazashvili; Timothy Morgan; Pam Belperio; Lisa Backus; Waheed Doss; Gamal Esmat; Mohamed Hassany; Aisha Elsharkawy; Wafaa Elakel; Mai Mehrez; Graham R Foster; Constance Wose Kinge; Kara W Chew; Charles S Chasela; Ian M Sanne; Yin M Thanung; Anne Loarec; Khawar Aslam; Suna Balkan; Philippa J Easterbrook; Benjamin P Linas Journal: J Viral Hepat Date: 2022-03-30 Impact factor: 3.517