Literature DB >> 15072753

Quantitative signal of anti-HCV by an automated assay predicts viremia in a population at high prevalence of hepatitis C virus infection.

Vincenzo Bossi1, Claudio Galli.   

Abstract

BACKGROUND AND AIMS: The diagnosis of ongoing hepatitis C virus (HCV) infection involves the detection of specific antibodies and of HCV-RNA. We aimed to assess the relationship between these two parameters in a representative sample of a population at high risk for HCV infection.
METHODS: Plasma and serum samples were respectively tested for HCV-RNA by a qualitative PCR (Cobas Amplicor HCV, Roche) and for HCV antibodies by a MEIA screening assay (AxSYM HCV 3.0, Abbott) and an immunoblot (Inno-LIA-III, Innogenetics). RESULTS AND
CONCLUSIONS: Out of 888 samples assayed, 579 (65.2%) were positive for HCV-RNA, while anti-HCV antibodies were detected respectively in 802 sera by AxSYM (90.3%) and in 783 by LIA (706 positive and 77 indeterminate, 88.2%). The anti-core antibodies displayed the best correlation with viremia, since they were present in 97.1% of the PCR+ samples, followed by anti-NS3 (90.2%) and anti-NS4 (89.6%). Only one HCV-RNA positive sample was negative by LIA and MEIA (early seroconversion). The AxSYM sample/cutoff (S/CO) values were directly correlated with the presence of HCV-RNA: a PCR positivity was found in 4.9% of samples with a S/CO < or =10, in 60.8% of samples with a S/CO between 11 and 50 and in 93.6% of cases with a S/CO >50, (P < 0.005). The immunoblot adds little, on a single specimen, to the information yielded by the AxSYM screening test. A suitable diagnostic algorithm for HCV in high-risk settings could be the anti-HCV screening by MEIA and a qualitative assay for HCV-RNA on samples with low reactivity.

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Year:  2004        PMID: 15072753     DOI: 10.1016/j.jcv.2003.08.007

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  5 in total

1.  Antibody dynamics and spontaneous viral clearance in patients with acute hepatitis C infection in Rio de Janeiro, Brazil.

Authors:  Alexander M Strasak; Arthur Y Kim; Georg M Lauer; Paulo S de Sousa; Cleber F Ginuino; Carlos A Fernandes; Carlos E Velloso; Adilson J de Almeida; Jaqueline M de Oliveira; Clara F Yoshida; Julian Schulze zur Wiesch; Gláucia Paranhos-Baccalá; Stefan Lang; Larry J Brant; Hanno Ulmer; Susanne Strohmaier; Lalit Kaltenbach; Elisabeth Lampe; Lia L Lewis-Ximenez
Journal:  BMC Infect Dis       Date:  2011-01-12       Impact factor: 3.090

2.  Establishing a sample-to cut-off ratio for lab-diagnosis of hepatitis C virus in Indian context.

Authors:  Aseem K Tiwari; Prashant K Pandey; Avinash Negi; Ruchika Bagga; Ajay Shanker; Usha Baveja; Raina Vimarsh; Richa Bhargava; Ravi C Dara; Ganesh Rawat
Journal:  Asian J Transfus Sci       Date:  2015 Jul-Dec

3.  The Usefulness of Anti-HCV Signal to Cut-off Ratio in Predicting Viremia in Anti-HCV in Patients With Hepatitis C Virus Infection.

Authors:  Fahimeh Ranjbar Kermani; Zohreh Sharifi; Fereshteh Ferdowsian; Zahrah Paz; Farzaneh Tavassoli
Journal:  Jundishapur J Microbiol       Date:  2015-04-18       Impact factor: 0.747

4.  Significance of anti-HCV signal-to-cutoff ratio in predicting hepatitis C viremia.

Authors:  Yeon Seok Seo; Eun Suk Jung; Jeong Han Kim; Young Kul Jung; Ji Hoon Kim; Hyonggin An; Hyung Joon Yim; Jong Eun Yeon; Kwan Soo Byun; Chang Duck Kim; Ho Sang Ryu; Soon Ho Um
Journal:  Korean J Intern Med       Date:  2009-11-27       Impact factor: 3.165

5.  Anti-HCV signal-to-cutoff ratio in predicting hepatitis C viremia.

Authors:  Hyon-Suk Kim
Journal:  Korean J Intern Med       Date:  2009-11-27       Impact factor: 3.165

  5 in total

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