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

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Abstract

Background/Aims: Hepatitis C virus (HCV) RNA testing can be performed using qualitative or quantitative assays, and it is still unclear which is more useful as a primary test in patients positive for anti-HCV. The present study evaluated the usefulness of anti-HCV signal-to-cutoff ratio (S/CO ratio) for predicting HCV RNA results. Methods: Patients on whom a qualitative HCV RNA test was performed due to a positive anti-HCV enzyme immunoassay were enrolled. Patients were divided into viremia and no-viremia groups according to HCV RNA results. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of anti-HCV S/CO for a diagnosis of viremia. Results: In total, 487 patients were enrolled. HCV RNA was positive in 301 subjects (61.8%). Age, serum ALT level, and anti-HCV S/CO ratio were significantly different between the viremia and no-viremia groups. By ROC curve analysis, anti-HCV S/CO ratio (area, 0.989; 95% confidence interval, 0.981 to 0.998) accurately predicted the presence of viremia, with a cutoff value of 10.9 (sensitivity, 94.4%; specificity, 97.3%). Conclusions: Anti-HCV S/CO ratio was found to be highly accurate at predicting HCV viremia. The anti-HCV S/CO ratio can be used to determine whether a quantitative or qualitative HCV RNA test should be used to confirm HCV viremia in patients with a positive anti-HCV by the following criteria: if the anti-HCV S/CO ratio is <10.9, a qualitative HCV RNA test can be used, and if the anti-HCV S/CO ratio is ≥10.9 a quantitative HCV RNA test can be performed.

Original languageEnglish
Pages (from-to)302-308
Number of pages7
JournalKorean Journal of Internal Medicine
Volume24
Issue number4
DOIs
Publication statusPublished - 2009 Dec 21

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Viremia
Hepatitis C
Hepacivirus
RNA
ROC Curve

Keywords

  • Antibody titer
  • Enzyme immunoassay
  • Hepatitis C virus
  • Viremia

ASJC Scopus subject areas

  • Internal Medicine

Cite this

@article{e3c0f65d5a2c46fcb13017545b80af9f,
title = "Significance of anti-HCV signal-to-cutoff ratio in predicting hepatitis C viremia",
abstract = "Background/Aims: Hepatitis C virus (HCV) RNA testing can be performed using qualitative or quantitative assays, and it is still unclear which is more useful as a primary test in patients positive for anti-HCV. The present study evaluated the usefulness of anti-HCV signal-to-cutoff ratio (S/CO ratio) for predicting HCV RNA results. Methods: Patients on whom a qualitative HCV RNA test was performed due to a positive anti-HCV enzyme immunoassay were enrolled. Patients were divided into viremia and no-viremia groups according to HCV RNA results. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of anti-HCV S/CO for a diagnosis of viremia. Results: In total, 487 patients were enrolled. HCV RNA was positive in 301 subjects (61.8{\%}). Age, serum ALT level, and anti-HCV S/CO ratio were significantly different between the viremia and no-viremia groups. By ROC curve analysis, anti-HCV S/CO ratio (area, 0.989; 95{\%} confidence interval, 0.981 to 0.998) accurately predicted the presence of viremia, with a cutoff value of 10.9 (sensitivity, 94.4{\%}; specificity, 97.3{\%}). Conclusions: Anti-HCV S/CO ratio was found to be highly accurate at predicting HCV viremia. The anti-HCV S/CO ratio can be used to determine whether a quantitative or qualitative HCV RNA test should be used to confirm HCV viremia in patients with a positive anti-HCV by the following criteria: if the anti-HCV S/CO ratio is <10.9, a qualitative HCV RNA test can be used, and if the anti-HCV S/CO ratio is ≥10.9 a quantitative HCV RNA test can be performed.",
keywords = "Antibody titer, Enzyme immunoassay, Hepatitis C virus, Viremia",
author = "Seo, {Yeon Seok} and Jung, {Eun Suk} and Kim, {Jeong Han} and Jung, {Young Kul} and Kim, {Ji Hoon} and Hyonggin An and Yim, {Hyung Joon} and Yeon, {Jong Eun} and Byun, {Kwan Soo} and Kim, {Chang Duck} and Ryu, {Ho Sang} and Soon-Ho Um",
year = "2009",
month = "12",
day = "21",
doi = "10.3904/kjim.2009.24.4.302",
language = "English",
volume = "24",
pages = "302--308",
journal = "Korean Journal of Internal Medicine",
issn = "0494-4712",
publisher = "Korean Association of Internal Medicine",
number = "4",

}

TY - JOUR

T1 - Significance of anti-HCV signal-to-cutoff ratio in predicting hepatitis C viremia

AU - Seo, Yeon Seok

AU - Jung, Eun Suk

AU - Kim, Jeong Han

AU - Jung, Young Kul

AU - Kim, Ji Hoon

AU - An, Hyonggin

AU - Yim, Hyung Joon

AU - Yeon, Jong Eun

AU - Byun, Kwan Soo

AU - Kim, Chang Duck

AU - Ryu, Ho Sang

AU - Um, Soon-Ho

PY - 2009/12/21

Y1 - 2009/12/21

N2 - Background/Aims: Hepatitis C virus (HCV) RNA testing can be performed using qualitative or quantitative assays, and it is still unclear which is more useful as a primary test in patients positive for anti-HCV. The present study evaluated the usefulness of anti-HCV signal-to-cutoff ratio (S/CO ratio) for predicting HCV RNA results. Methods: Patients on whom a qualitative HCV RNA test was performed due to a positive anti-HCV enzyme immunoassay were enrolled. Patients were divided into viremia and no-viremia groups according to HCV RNA results. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of anti-HCV S/CO for a diagnosis of viremia. Results: In total, 487 patients were enrolled. HCV RNA was positive in 301 subjects (61.8%). Age, serum ALT level, and anti-HCV S/CO ratio were significantly different between the viremia and no-viremia groups. By ROC curve analysis, anti-HCV S/CO ratio (area, 0.989; 95% confidence interval, 0.981 to 0.998) accurately predicted the presence of viremia, with a cutoff value of 10.9 (sensitivity, 94.4%; specificity, 97.3%). Conclusions: Anti-HCV S/CO ratio was found to be highly accurate at predicting HCV viremia. The anti-HCV S/CO ratio can be used to determine whether a quantitative or qualitative HCV RNA test should be used to confirm HCV viremia in patients with a positive anti-HCV by the following criteria: if the anti-HCV S/CO ratio is <10.9, a qualitative HCV RNA test can be used, and if the anti-HCV S/CO ratio is ≥10.9 a quantitative HCV RNA test can be performed.

AB - Background/Aims: Hepatitis C virus (HCV) RNA testing can be performed using qualitative or quantitative assays, and it is still unclear which is more useful as a primary test in patients positive for anti-HCV. The present study evaluated the usefulness of anti-HCV signal-to-cutoff ratio (S/CO ratio) for predicting HCV RNA results. Methods: Patients on whom a qualitative HCV RNA test was performed due to a positive anti-HCV enzyme immunoassay were enrolled. Patients were divided into viremia and no-viremia groups according to HCV RNA results. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of anti-HCV S/CO for a diagnosis of viremia. Results: In total, 487 patients were enrolled. HCV RNA was positive in 301 subjects (61.8%). Age, serum ALT level, and anti-HCV S/CO ratio were significantly different between the viremia and no-viremia groups. By ROC curve analysis, anti-HCV S/CO ratio (area, 0.989; 95% confidence interval, 0.981 to 0.998) accurately predicted the presence of viremia, with a cutoff value of 10.9 (sensitivity, 94.4%; specificity, 97.3%). Conclusions: Anti-HCV S/CO ratio was found to be highly accurate at predicting HCV viremia. The anti-HCV S/CO ratio can be used to determine whether a quantitative or qualitative HCV RNA test should be used to confirm HCV viremia in patients with a positive anti-HCV by the following criteria: if the anti-HCV S/CO ratio is <10.9, a qualitative HCV RNA test can be used, and if the anti-HCV S/CO ratio is ≥10.9 a quantitative HCV RNA test can be performed.

KW - Antibody titer

KW - Enzyme immunoassay

KW - Hepatitis C virus

KW - Viremia

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