Literature DB >> 28475925

Performance evaluation of the Aptima® HCV Quant Dx assay for hepatitis C virus (HCV) RNA detection and quantification in comparison to the Abbott RealTime HCV assay.

Anna Rosa Garbuglia1, Angela Bibbò2, Roberta Sciamanna2, Marina Pisciotta2, Maria Rosaria Capobianchi2.   

Abstract

BACKGROUND: The Aptima HCV Quant Dx assay (Aptima) is a real-time transcription-mediated amplification assay CE-approved for the diagnosis and monitoring of hepatitis C virus (HCV) infection.
OBJECTIVE: Aptima's analytical performance was compared to the Abbott RealTime HCV assay (RealTime) in a clinical routine setting. STUDY
DESIGN: Overall 295 clinical plasma samples (117 prospective/fresh; 178 retrospective/frozen) from HCV-infected patients were tested in Aptima and RealTime to determine concordance on qualitative and quantitative results. Linearity and precision at low viral loads (VLs; 0.8-3.3LogIU/mL) was tested using dilutions of the 5th WHO standard, in 10 and 20 replicates in the two assays, respectively. The ability to measure different HCV genotypes and accuracy were analyzed using the Seracare EQA panel.
RESULTS: Inter-assay agreement for qualitative results (prospective samples) was 88% (kappa=0.78). For the 127 samples with quantitative results in both assays, Aptima yielded on average slightly higher values (by 0.24LogIU/mL; Bland-Altman method) than RealTime. Concordance between assay results was excellent (R=0.98). At low VLs (0.8-3.3LogIU/mL), Aptima demonstrated good linearity and precision, similar to RealTime. Aptima detected and accurately quantified all main HCV genotypes.
CONCLUSIONS: Aptima demonstrated excellent precision, linearity, and accuracy in all genotypes tested. Good concordance was observed between Aptima and RealTime assays in clinical samples. The performance of the Aptima assay, on the fully automated Panther platform, makes it an excellent candidate for the detection and monitoring of HCV RNA in plasma and serum samples.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accuracy; Genotype; HCV; Linearity; Precision; Real-time amplification assay; Viral load

Mesh:

Substances:

Year:  2017        PMID: 28475925     DOI: 10.1016/j.jcv.2017.04.013

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  1 in total

1.  Evaluation of the Aptima HCV Quant Dx Assay Using Serum and Dried Blood Spots.

Authors:  Jenna Weber; Malaya K Sahoo; Nathaniel Taylor; Run-Zhang Shi; Benjamin A Pinsky
Journal:  J Clin Microbiol       Date:  2019-03-28       Impact factor: 5.948

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.