In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 7 ( 2021-7-1), p. e0254028-
Abstract:
Hepatitis C Virus (HCV) infection is diagnosed by the presence of antibody to HCV and/or HCV RNA. This study aimed to evaluate the accuracy of anti-HCV titer (S/CO ratio) in predicting HCV viremia in patients with or without hepatitis B virus (HBV) dual infection. Methods Anti-HCV seropositive patients who were treatment-naïve consecutively enrolled. Anti-HCV antibodies were detected using a commercially chemiluminescent microparticle immunoassay. HCV RNA was detected by real-time PCR method. Results A total of 1321 including1196 mono-infected and 125 HBV dually infected patients were analyzed. The best cut-off value of anti-HCV titer in predicting HCV viremia was 9.95 (AUROC 0.99, P 〈 0.0001). Of the entire cohort, the anti-HCV cut-off value of 10 provided the best accuracy, 96.8%, with the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 96.3%, 98.9%, 99.7% and 87.3% respectively. The best cut-off value of anti-HCV titer in predicting HCV viremia was 9.95 (AUROC 0.99, P 〈 0.0001) and 9.36 (AUROC 1.00, P 〈 0.0001) in patients with HCV mono-infection and HBV dual-infection respectively. Among the HBV dually infected patients, the accuracy of anti-HCV titer in predicting HCV viremia reached up to 100% with the cut-off value of 9. All the patients were HCV-viremic if their anti-HCV titer was greater than 9 (PPV 100%). On the other hand, all the patients were HCV non-viremic if their anti-HCV titer was less than 9 (NPV 100%). Conclusions Anti-HCV titer strongly predicted HCV viremia. This excellent performance could be generalized to either HCV mono-infected or HBV dually infected patients.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0254028
DOI:
10.1371/journal.pone.0254028.t001
DOI:
10.1371/journal.pone.0254028.t002
DOI:
10.1371/journal.pone.0254028.t003
DOI:
10.1371/journal.pone.0254028.t004
DOI:
10.1371/journal.pone.0254028.t005
DOI:
10.1371/journal.pone.0254028.s001
DOI:
10.1371/journal.pone.0254028.s002
DOI:
10.1371/journal.pone.0254028.s003
DOI:
10.1371/journal.pone.0254028.s004
DOI:
10.1371/journal.pone.0254028.s005
DOI:
10.1371/journal.pone.0254028.s006
DOI:
10.1371/journal.pone.0254028.r001
DOI:
10.1371/journal.pone.0254028.r002
DOI:
10.1371/journal.pone.0254028.r003
DOI:
10.1371/journal.pone.0254028.r004
DOI:
10.1371/journal.pone.0254028.r005
DOI:
10.1371/journal.pone.0254028.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
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