Threshold value of the anti-HCV test in the diagnosis of HCV infection

Kirişçi, Özlem; Çalışkan, Ahmet

doi:10.3855/jidc.11657

Cited by 5 publications

(11 citation statements)

References 18 publications

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“…In our study, 70.2% of the patients were found to have a false positive result. In a study by Kirisci et al in Turkey, the false positivity rate was found to be 61%, which was close to the rates in our study (12). The false positivity rates were found to be 58% and 48.9% in the studies conducted by Aydın et al and Moorman et al, respectively (13,14).…”

Section: Discussionsupporting

confidence: 89%

Updating the Signal-to-cutoff Level to Reduce Anti-hepatitis C Virus False Positivity

Öztürk

Ağalar

2021

Jundishapur J Microbiol

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Background: Anti-hepatitis C virus (anti-HCV) is the only screening test being used in the diagnosis of hepatitis C. In this study, we examined anti-HCV positivity rates in our hospital. Objectives: The aim of administering the anti-HCV test was to distinguish patients with hepatitis C infection from false positivity in patients with reactive results. Methods: The anti-HCV tests were performed at Fatih Sultan Mehmet Training and Research Hospital in Istanbul, Turkey, between January 1, 2015 and December 31, 2019. The patients were evaluated retrospectively in terms of age, gender, anti-HCV titer, the clinic for which the examination was requested, the reason for the examination, and the history of hepatitis C. Results: In this study, 511 patients who had two negative polymerase chain reaction (PCR) results were evaluated as false positive cases and enrolled. The cut-off value was found to be 7.5 IU/ml, with the highest sensitivity of 94.4% and specificity of 94.5% (area under the curve [AUC]: 0.982). The lowest anti-HCV titer (5.2) was from patients without acute hepatitis, who were HCV-RNA positive and diagnosed with chronic hepatitis C. Conclusions: It may be more appropriate to report anti-HCV cut-off value of 0 - 5 as negative, 5 - 7.5 as borderline, and > 7.5 as positive. Working with a more acceptable cut-off level with a greater number of tests can help identify patients with asymptomatic HCV infection. Also, it can possibly reduce the cost due to a decrease in the number of PCR tests administered.

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Section: Discussionsupporting

confidence: 89%

Updating the Signal-to-cutoff Level to Reduce Anti-hepatitis C Virus False Positivity

Öztürk

Ağalar

2021

Jundishapur J Microbiol

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“…The anti-HCV antibody value, age, and gender are the first three correlations given, as presented in Table 1. According to [17], the diagnostic threshold for determined the most appropriate value to be 12.27.…”

Section: Resultsmentioning

confidence: 99%

Hepatitis C in several risk groups of Kosovo

Rashiti-Bytyçi¹,

Ramadani²,

Rashiti

2022

J Infect Dev Ctries

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Introduction: Infections with hepatitis C are on the rise. The statistics on the general population of Kosovo infected with hepatitis C is lacking. The study tends to detect sero-prevalence in the following risk groups: haemodialysis patients; patients of surgical units, internal medicine units, and mental health units; HIV-diagnosed patients, health professionals, and women in the prenatal period. A number of institutions, providers of medical care to these groups' patients, have been targeted. Methodology: A total of 378 samples were collected from various institutions, with 347 of them being tested for anti-HCV and 31 being tested for RT-PCR assays. Results: From the total of 387 samples, 72 samples (19.05%) resulted positive. The highest number was recorded in haemodialysis centres. In other groups, a low prevalence was recorded. Conclusions: The study can conclude that high prevalence of HCV infection still remains a major health problem, especially in haemodialysis centres. In the future, it is planned to expand the study in the future to include other risk categories or the entire population.

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“…Optimal values for anti-HCV S/Co varies in different studies. It was determined as 2.7 in the study by Sharifi et al [13], 5 in the study by Şanlıdağ et al [14], 7.13 in the study by Gülden et al [15], 10.9 in the study by Seo et al [16], 12.27 in the study by Kirişçi et al [17], 26 in the study by Sookoyan et al [18] and 25.9 in the study by Balk et al [19]. In terms of epidemiology, if the prevalence of a disease in a population is low, the false positive rate increases and the positive predictive value (PPV), which provides the estimation of the true positivity of the test, decreases.…”

Section: Discussionmentioning

confidence: 96%

The best anti-HCV S/Co values for reflecting HCV infection in a university hospital in the eastern part of Turkey

Dabanlıoğlu,

Yılmaz,

Akyüz

et al. 2024

J Infect Dev Ctries

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Introduction: The measurement of hepatitis C virus (HCV) RNA is a test that requires high cost, advanced technique, and qualified personnel. Diagnosis and treatment of patients may be delayed due to the high rate of false-positive results. This study aims to predict true antibody positivity and viremia by determining the most appropriate anti-HCV signal-to-cutoff (S/Co) value reflecting HCV infection. Methodology: The presence of anti-HCV antibodies and HCV RNA levels were examined in 72341 people who applied to the Mengücek Gazi Training and Research Hospital between January 2018 and December 2020. The anti-HCV levels were determined by using the Abbot Architect i2000 SR device (Abbot Diagnostics, Chicago, IL, USA). The levels of HCV RNA were determined in the COBAS AmpliPrep/COBAS, TaqMan 48 (Roche, Diagnostics, Pleasanton, USA) devices using serum samples from patients. Our study is a retrospective and methodological study. Results: Of the 150 patients with anti-HCV antibodies, 50 (33.3%) were HCV RNA positive, and 100 (66.7%) were HCV RNA negative. Anti-HCV levels of HCV RNA-positive patients were statistically higher than HCV RNA-negative patients. The most appropriate anti-HCV S/Co value for diagnosing hepatitis C patients was 15.4. The sensitivity of this value was 72%, specificity 88%, positive predictive value (PPV) 73.5%, and negative predictive value (NPV) 86.1%. Receiver operating characteristic (ROC) curve was significantly higher than 0.5 (95% confidence interval 0.938-0.827). Conclusions: Correct approaches can be applied in the diagnosis of HCV infection using the anti-HCV S/Co value found in our study.

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Threshold value of the anti-HCV test in the diagnosis of HCV infection

Cited by 5 publications

References 18 publications

Updating the Signal-to-cutoff Level to Reduce Anti-hepatitis C Virus False Positivity

Updating the Signal-to-cutoff Level to Reduce Anti-hepatitis C Virus False Positivity

Hepatitis C in several risk groups of Kosovo

The best anti-HCV S/Co values for reflecting HCV infection in a university hospital in the eastern part of Turkey

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