Evaluation of the cobas® GT hepatitis C virus genotyping assay in G1-6 viruses including low viral loads and LiPA failures

Comparison of diagnostic performance among Abbott RealTime HCV Genotyping II, Abbott HCV Genotype plus RUO, and Roche Cobas HCV Genotyping assays for hepatitis C virus genotyping

Comparison of diagnostic accuracy for commercial hepatitis C virus (HCV) genotyping (Abbott RealTime HCV Genotyping II, Roche Cobas Genotyping) and investigational Abbott HCV Genotype plus RUO assays designed to discriminate genotype (GT)-1a, 1b or 6 in cases of ambiguous GT from the Abbott commercial assay remains limited. 743 HCV-viremic samples were subjected to analysis using Abbott and Roche commercial as well as Abbott HCV Genotype plus RUO assays. Next-generation sequencing (NGS) targeting core region was employed as the reference standard. Diagnostic accuracy was reported as the number of participants (percentages) along with 95% confidence intervals (CIs). Using NGS, 741 samples (99.7%) yielded valid genotyping results. The diagnostic accuracies were 97.6% (95% CI: 96.1%-98.5%) and 95.3% (95% CI: 93.4%-96.6%) using Abbott and Roche commercial assays (p = 0.0174). Abbott commercial assay accurately diagnosed HCV GT-6a and 6w, whereas Roche commercial assay accurately diagnosed HCV GT-6a. Both assays demonstrated low accuracies for HCV GT-6b, 6e, 6g, and 6n. Abbott HCV Genotype plus RUO assay discriminated 13 of the 14 samples (92.9%; 95% CI: 64.2%-99.6%) that yielded ambiguous GT. Both assays were capable of diagnosing mixed HCV infections when the minor genotype comprised >8.4% of the viral load. The diagnostic performance of commercial HCV genotyping assays is commendable. Abbott assay demonstrated superior performance compared to Roche assay in diagnosing HCV GT-6. Abbott HCV Genotype plus RUO assay aids in discriminating ambiguous GT. Both commercial assays are proficient in diagnosing mixed HCV infections at a cut-off viral load of 8.4% in minor genotype.

The Impact of Patient Characteristics on Diagnostic Test Performance

Diagnostic tests can detect diseases, monitor responses, and inform treatments. They are vital to the effective management of disease. There have been significant advances in the engineering of new diagnostic technologies. These technologies may forgo sample extraction, simplify readout, or automate processing. Many researchers design these diagnostics based on test performance in a limited sample subset. This approach ignores the intertwined relationship between patient characteristics and diagnostic test results. Yet, it is important to understand the clinical decision-making workflow and how the disease manifests in order to optimally design diagnostic tests. This review article explores the three aspects of incorporating patient characteristics to maximize diagnostic performance. 1) Characterize patient populations using patient demographics, disease prevalence, and other unique features. 2) Use the characteristics of the patient population to establish design requirements. 3) Determine the best use case since each case has different performance and target requirements. In this framework the clinical, technological, and unmet needs of a patient population shape the diagnostics design requirements. Following these steps will lead to maximal diagnostic performance and poise new diagnostics for real world use.

2020 Taiwan consensus statement on the management of hepatitis C: part (I) general population

Hepatitis C virus (HCV) infection remains a major public health issue with high prevalence in Taiwan. Recently, the advent of direct-acting antiviral (DAA) agents, with higher efficacy, excellent safety profile, and truncated treatment duration, has revolutionized the paradigm of hepatitis C treatment and made HCV elimination possible. To provide timely guidance for optimal hepatitis C management, the Taiwan Association for the Study of the Liver (TASL) established an expert panel to publish a 2-part consensus statement on the management of hepatitis C in the DAA era. After comprehensive literature review and a consensus meeting, patient-oriented, genotype-guided recommendations on hepatitis C treatment for the general and special populations have been provided based on the latest indications and scientific evidence. In the first part of this consensus, we present the epidemiology and treatment situation of hepatitis C in Taiwan, the development of DAA, pre-treatment evaluation, post sustained virologic response (SVR) monitoring, and most importantly the treatment recommendations for the general population with compensated liver disease. The second part will focus on the treatment recommendations for the special populations.

Evaluation of the results of MOTAKK hepatitis C virus RNA genotyping and hepatitis delta virus external quality assessment programs during 2015-2016

BACKGROUND/AIMS

To evaluate the HCV RNA genotyping and HDV RNA tests that are performed in molecular microbiology laboratories in Turkey as part of a national external quality assessment programme, MOTAKK (Moleküler Tanıda Kalite Kontrol) (English translation: Quality control in molecular diagnostics).

MATERIALS AND METHODS

Plasmas having different HCV RNA genotypes were used to prepare HCV genotype control sera. The HDV RNA main stock was prepared from patients with chronic delta hepatitis who had a significant amount of viral load detected, as per the WHO reference materials on viral load studies that were compiled for the purpose of developing HDV RNA control sera. Samples with different viral loads were prepared from this main stock by dilution. The prepared controls were delivered to the registered laboratories. The laboratories carried out the relevant tests and entered their results via the MOTAKK web page. External quality assessment (EQA) reports of the participants were uploaded to the website as well.

RESULTS

In total, there were 23 participating laboratories, out of which 20 exclusively performed HCV genotyping, and 15 and 16 only performed HDV RNA in 2015 and 2016, respectively. The success rate of the results of the HCV genotype was 56-96% in 2015 and 30-95% in 2016. The tube with a 30% success rate had a recombinant type of HCV, therefore, it could not be detected in most of the laboratories. The HDV RNA results were evaluated qualitatively. Accordingly, HDV RNA detection rates of participant laboratories were 71-100% in 2015 and 50-100% in 2016.

CONCLUSION

This study was the first national external quality control program in Turkey regarding HCV RNA genotyping and HDV RNA in the field of molecular microbiology, and it was implemented successfully.

Genetic diversity of genotype 6 HCV infections in France: Epidemiology and consequences for treatment strategy

Genotype-6 hepatitis C virus (GT6-HCV) exhibits a high genetic diversity. GT6 prevalence, diversity and real-life response to treatment were studied among 14 603 HCV mono-infected patients from the French ANRS-CO22-Hepather cohort. NS3, NS5A and NS5B-HCV genes were amplified and sequenced for all GT6-infections identified in the database. Following phylogenic characterization, resistance-associated substitution polymorphisms were identified. GT6-infected patients (n = 36; 0.25%) did not differ from patients infected with other genotypes with regard to gender, age or liver fibrosis. GT6e was the most prevalent (27.8%), followed by 6a (22.2%), 6q (11.1%) and 6o (8.3%). Each subtype p and xc were found in two patients (5.6%) and subtypes f/h/r and t were each detected in one patient. Four strains (11.1%) clustered with unclassified reference sequences. Concordant genotype determination throughout NS3, NS5A and NS5B-genes is consistent with lack of recombination within this genomic region. All, but three patients were born in Asia, Cambodia (44.4%), Vietnam (38.9%) or Laos (8.3%). GT6a were found in 42.8% of Vietnamese and 6e in 37.5% of Cambodian. GT6q, 6p and 6r were only found in Cambodian patients. Resistance-associated polymorphisms for each DAA classes were identified in baseline sequences. Twenty-seven patients were treated with sofosbuvir-based combinations and 3 with glecaprevir/pibrentasvir. All treated patients, whether naïve or previously treated, achieved a sustained viral response. In conclusion, GT6-infections are uncommon in France and their genetic diversity likely reflects infection within the country of origin. Despite residue variability at DAA resistance-associated positions, sustained viral response was obtained in all treated patients.

Clinical evaluation of IntelliPlexTM HCV genotyping kit for hepatitis C virus genotyping

Genotyping of the hepatitis C virus (HCV) is crucial for determining the most efficient anti-viral therapy. The clinical sensitivity and specificity of the IntelliPlex^TM HCV Genotyping Kit was determined by comparing the assay results of 307 specimens with the results obtained by Sanger sequencing. Out of 202 HCV-positive specimens tested, 8 samples yielded discrepant results between the IntelliPlex HCV Genotyping Kit and Sanger sequencing. For 5 of these discrepant samples, the IntelliPlex HCV Genotyping Kit classified the correct genotype but failed to show the same single or dual infected status as determined by Sanger sequencing. A total of 105 samples which tested negative for HCV by In-Vitro-Diagnostics (IVD)-approved viral load assay tested negative for HCV by the IntelliPlex HCV Genotyping Kit. The IntelliPlex HCV Genotyping Kit has a clinical specificity of 100% and a clinical sensitivity of 96.9% and is suited to be used in clinical laboratories to genotype HCV.

Profile of the VERSANT HCV genotype 2.0 assay

INTRODUCTION

Hepatitis C virus (HCV) is divided into 7 genotypes and 67 subtypes. HCV genotype studies reflect the viral transmission patterns as well as human migration routes. In a clinical setting, HCV genotype is a baseline predictor for the sustained virological response (SVR) in chronic hepatitis C patients treated with peginterferon or some direct acting antivirals (DAAs). The Versant HCV genotype 2.0 assay has been globally used for HCV genotyping over a decade. Areas covered: The assay is based on reverse hybridization principle. It is evolved from its former versions, and the accuracy and successful genotyping/subtyping rate are substantially improved. It shows an accuracy of 99-100% for genotypes 1-6. It can also reliably identify subtypes 1a and 1b. However, the assay does not allow a high resolution for many other subtypes. Reasons for indeterminate or inaccurate genotyping/subtyping results are discussed. Expert commentary: Genotyping helps to find the most efficacious and cost-effective treatment regimen. The rapid development of anti-HCV treatment regimens, however, is greatly simplifying laboratory tests. In the near future, the need for HCV genotyping and frequent serial on-treatment HCV RNA tests will decrease along with the wide use of the more potent and pan-genotypic DAA regimens.