Is Anti-Hepatitis C Virus Antibody Level an Appropriate Marker to Preclude the Need for Supplemental Testing?

Zhang, Kuo; Wang, Lunan; Lin, Guigao; Li, Jinming

doi:10.1159/000441474

Cited by 8 publications

(12 citation statements)

References 13 publications

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“…(19) yaptıkları çalışmada, CIA ile tespit edilen S/Co oranının <20.0 olduğu durumlarda nonviremik hepatit C ile nonhepatit C'yi ayırmak için HCV-RNA doğrulama testi önermişlerdir.…”

Section: Discussionunclassified

“…Dünya nüfusunun yaklaşık % 3'ünün Hepatit C virüsü (HCV) taşıdığı, her yıl 3-4 milyon yeni olgunun ortaya çıktığı tahmin edilmektedir (3,19) . İnfekte olguların % 75-85'i kronikleşmekte ve kronik olarak infekte kişilerin üçte biri karaciğer sirozu ve hepatosellüler kanser oluşma riski ile karşı karşı-ya kalmaktadır (15) .…”

Section: Introductionunclassified

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Investigation of Viremia Rates and Its Correlation With Anti-HCV Levels in Anti-HCV Positive Serum Samples

Fidan¹,

Çuhadar²,

Koç³

et al. 2017

Ankem Derg

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ÖZET Dünya nüfusunun yaklaşık %3'ünün Hepatit C virüsü (HCV) unda (% 37) viremi varlığını doğrulayan HCV-RNA pozitifliği belirlenmiştir. Viremik ve non-viremik serum örnekleri arasında anti-HCV düzeylerinde (S/Co) anlamlı farklılıklar bulunmuştur. Sonuç olarak, Anti-HCV'nin yüksek S/Co değerle-rinin HCV-RNA varlığı ile ilişkili olduğu belirlenmiştir. Böylece, HCV-RNA testi yapılmadan önce anti-HCV S/Co değerle-rinin bilinmesi, hekimin viremi varlığını önceden tahmin etmesini sağlayacak ve HCV-RNA testlerinin yüksek maliyeti azalabilecektir. Anahtar sözcükler: Anti-HCV, HCV-RNA, Hepatit C virüs, viremi SUMMARY Investigation of Viremia Rates and Its Correlation With Anti-HCV Levels in Anti-HCV Positive Serum Samples It is estimated that about 3 % of the world's population are infected with Hepatitis C virus (HCV). The diagnosis and follow-up of HCV infection involve screening for anti-HCV antibodies by serological methods and the detection of HCV-RNA by molecular techniques. HCV antibody assays are highly sensitive and specific in patients with chronic HCV infection, where as they failed to distinguish active HCV infection and past infection. Molecular methods are considered the 'gold standard' for detecting active HCV replication. In our study, it is aimed to determine HCV-RNA positivity in Anti-HCV positive serum samples and its correlation with anti-HCV levels (signal sample/cut-off =S/Co). Serum samples were assayed for anti-HCV by ELISA method (Elecsys Anti-HCV II assay, Roche). A total of 297 anti-HCV positive samples were tested for HCV-RNA. The level of HCV-RNA was measured by quantitative real-time PCR (COBAS Ampliprep / COBAS TaqMan HCV, Roche).In our study, we found HCV-RNA positivity, which confirms the presence of HCV viremia, in 110 (37 %)

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Section: Discussionunclassified

Section: Introductionunclassified

Investigation of Viremia Rates and Its Correlation With Anti-HCV Levels in Anti-HCV Positive Serum Samples

Fidan¹,

Çuhadar²,

Koç³

et al. 2017

Ankem Derg

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“…The virus is a causative agent of chronic liver disease and, in a significant proportion of infected patients, may lead to cirrhosis and/or hepatocellular carcinoma (HCC) and the subsequent need for a liver transplant. Therefore, it is essential that individuals with HCV infection are identified at the earliest stage …”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is essential that individuals with HCV infection are identified at the earliest stage. 4 Throughout the world, variations in the HCV genome sequence are utilized to classify the virus, according to seven major genotypes and 67 subtypes. The most prevalent genotypes are 1, 2, and 3, while the remaining four are confined to specific regions of the world.…”

Section: Introductionmentioning

confidence: 99%

Prediction of HCV load using genotype, liver biomarkers, and clinical symptoms by a mathematical model in patients with HCV infection

Basharkhah

Sabet

Ghezeldasht

et al. 2019

Microbiology and Immunology

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Hepatitis C virus (HCV) infection is a major public health problem with about 1.75 million new HCV cases and 71 million chronic HCV infections worldwide. The study aimed to evaluate clinical, serological, molecular, and liver markers to develop a mathematical predictive model for the quantification of the HCV viral load in chronic HCV infected patients. In this cross‐sectional study, blood samples were taken from 249 recently diagnosed HCV‐infected subjects and were tested for liver condition, viral genotype, and HCV RNA load. Receiver operating characteristics (ROC) curves and multiple linear regression analysis were used to predict the HCV‐RNA load. Genotype 3 followed by genotype 1 were the most prevalent genotypes in Mashhad, Northeastern Iran. The maximum levels of viral load were detected in the mixed genotype group, and the lowest levels in the undetectable genotype group. The log of the HCV viral load was significantly associated with thrombocytopenia and higher serum levels of alanine transaminase (ALT). In addition, the log HCV RNA was significantly higher in patients with arthralgia, fatigue, fever, vomiting, or dizziness. Moreover, genotype 3 was significantly associated with icterus. A ROC curve analysis revealed that the best cut‐off points for serum levels of aspartate aminotransferase (AST), ALT, and alkaline phosphatase (ALP) were >31, >34, and ≤246 IU/L, respectively. Sensitivity, specificity, and positive predictive values for AST were 87.7%, 84.36%, and 44.6%, for ALT they were 83.51%, 81.11%, and 36%, and for ALP were 72.06%, 42.81%, and 8.3%, respectively. A mathematical regression model was developed that could estimate the HCV‐RNA load. Regression model: log viral load = 7.69 − 1.01 × G3 − 0.7 × G1 + 0.002 × ALT − 0.86 × fatigue.

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“…The virus is a causative agent of chronic liver disease and, in a significant proportion of infected patients, may lead to cirrhosis and/or hepatocellular carcinoma (HCC) and the subsequent need for a liver transplantation. Therefore, it is essential that individuals with HCV infection are identified at the earliest stage [4].…”

Section: Introductionmentioning

confidence: 99%

Assessment of HCV viral load, genotype, liver biomarkers and clinical symptoms: Developing a mathematical model for prediction of HCV load

Basharkhah¹,

Sabet²,

Hr³

et al. 2019

Preprint

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Background Hepatitis C virus infection is a major worldwide public health problem with about 1.75 million new HCV cases and 71 million HCV chronic infections around the world. The aim of study was to evaluate clinical, serological, molecular, and liver markers to develop a mathematical predictive model for HCV viral load quantification in chronic HCV infected patients. Methods In this cross-sectional study, blood samples were taken from 249 recently diagnosed HCV-infected subjects and were tested for liver condition, viral genotype, and HCV RNA load. Receiver operating characteristics (ROC) curves and multiple linear regression analysis were used to predict HCV viral load. Results The genotype 3 followed by genotype 1 were the most prevalent genotypes in Mashhad, Northeastern Iran. HCV viremia was significantly associated with genotyping (p=0.04). The maximum levels of viral load were detected in the mixed genotype group, and the lowest levels in the undetectable genotype group. Log of HCV viral load was significantly associated with thrombocytopenia and higher serum levels of alanine transaminase (ALT). In addition, log HCV RNA was significantly higher in patients with arthralgia, fatigue, fever, vomiting or dizziness. Moreover, genotype 3 was significantly associated with icterus. A ROC curve analysis revealed that the best cut-off points for serum levels of aspartate aminotransferase (AST), ALT, and alkaline phosphatase (ALP) were >31, >34, and ≤246 IU/L, respectively. Sensitivity, specificity and positive predictive values for AST were 87.7%, 84.36% and 44.6%, for ALT; 83.51%, 81.11% and 36%, and for ALP were 72.06%, 42.81% and 8.3%, respectively. Conclusions A mathematical regression model was developed that can estimate the HCV viral load. Regression model: log viral load=7.69-1.01×G3-0.7×G1+0.002×ALT-0.86× fatigue.

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Is Anti-Hepatitis C Virus Antibody Level an Appropriate Marker to Preclude the Need for Supplemental Testing?

Cited by 8 publications

References 13 publications

Investigation of Viremia Rates and Its Correlation With Anti-HCV Levels in Anti-HCV Positive Serum Samples

Investigation of Viremia Rates and Its Correlation With Anti-HCV Levels in Anti-HCV Positive Serum Samples

Prediction of HCV load using genotype, liver biomarkers, and clinical symptoms by a mathematical model in patients with HCV infection

Assessment of HCV viral load, genotype, liver biomarkers and clinical symptoms: Developing a mathematical model for prediction of HCV load

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