Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
J Clin Microbiol ; 35(9): 2331-6, 1997 Sep.
Article in English | MEDLINE | ID: mdl-9276412

ABSTRACT

The performance of a new automated analyzer for the processing and interpretation of the RIBA Strip Immunoblot Assay (SIA), used in the diagnosis of hepatitis C virus (HCV) infection, was evaluated. Laboratory performance of the RIBA SIA was compared with that of two manually processed supplementary anti-HCV tests (RIBA HCV 3.0 SIA and INNO-LIA HCV Antibody III). Specificity of the automated processing of SIA was 100% for 90 selected anti-HCV-negative samples. On the other hand, 119 of 120 (99.2%) previously confirmed anti-HCV-positive samples were also positive when assayed on the automated processor. Results for all specimens except one (51 of 52) were concordant for manual and automated RIBA, while 15 of 68 sera tested with automated RIBA and the INNO-LIA assay showed different patterns of reactivity. Three HCV sensitivity panels and one seroconversion panel were also compared. The results show a high sensitivity for SIA NS3- and NS5-encoded antigens. Moreover, data obtained for the anti-HCV seroconversion panel and for samples with borderline or discordant anti-HCV enzyme-linked immunosorbent assay results suggest that bands with a relative intensity of >0.5 on the automated analyzer (theoretically negative) should be evaluated with care. Coefficients of variability ranged from 9 to 14.8% in an interassay reproducibility study. Overall, the performance of the automated analysis of SIA is comparable to that of the manual RIBA assay. The new automated processor for SIA bands proved to be sensitive and specific. Its use makes the optical scoring of bands unnecessary by indicating relative intensity values, which could be particularly useful in the follow-up care of anti-HCV-positive patients receiving antiviral therapy.


Subject(s)
Electronic Data Processing/methods , Hepacivirus/immunology , Hepatitis C Antibodies/analysis , Hepatitis C/diagnosis , Immunoblotting/methods , Enzyme-Linked Immunosorbent Assay/methods , Hepatitis C/immunology , Humans , Reproducibility of Results , Sensitivity and Specificity
2.
Eur J Gastroenterol Hepatol ; 7(7): 623-5, 1995 Jul.
Article in English | MEDLINE | ID: mdl-8590156

ABSTRACT

OBJECTIVE: To assess the role of IgM antibodies to hepatitis C virus core protein (anti-HCV IgM) as a marker of chronic HCV infection and as a predictor of successful interferon (IFN) treatment. DESIGN: Anti-HCV IgM levels were evaluated at baseline, during IFN therapy and during a follow-up period. METHODS: Anti-HCV IgM levels were evaluated in 62 patients (47 men and 15 women, aged 25-65 years) with biopsy-proven chronic active hepatitis C. Fifty-one of the patients received alpha-IFN 3 MU three times a week for 6 months and 11 received the same therapy for 12 months. Twenty patients showed a long-term response; fourteen responded but subsequently suffered a relapse; twenty-eight did not respond to the treatment. Follow-up in all patients lasted for at least 6 (mean +/- SD 9.8 +/- 5.4, range 6-29) months after the end of the therapy. RESULTS: Anti-HCV IgM were detected in 35 patients (56.4%) at baseline; no significant differences were observed between the three groups studied. Almost all members of the groups showing a relapse or no response remained positive at the end of therapy and follow-up. In contrast, we observed a progressive disappearance of anti-HCV IgM in patients responsive to interferon therapy over the long term. CONCLUSION: The loss of anti-HCV IgM positivity in patients positive at baseline can predict the long-term response to IFN therapy.


Subject(s)
Hepatitis C Antibodies/blood , Hepatitis C/diagnosis , Hepatitis C/therapy , Hepatitis, Chronic/diagnosis , Hepatitis, Chronic/therapy , Immunoglobulin M/blood , Interferon Type I/therapeutic use , Adult , Aged , Biomarkers/blood , Female , Humans , Male , Middle Aged , Recombinant Proteins , Time Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...