Literature DB >> 30760534

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

Jenna Weber1, Malaya K Sahoo1, Nathaniel Taylor2, Run-Zhang Shi1, Benjamin A Pinsky3,2,4.   

Abstract

Hepatitis C virus (HCV) RNA quantitation is the primary method by which active HCV infections are identified and the response to direct-acting antiviral therapy is monitored. This study describes the evaluation of the Aptima HCV Quant Dx assay (Aptima HCV) performed on the Panther system. The clinical performance of Aptima HCV was compared to that of the Cobas AmpliPrep/Cobas TaqMan HCV test v2.0 (CAP/CTM). Overall agreement was 84.9% (186/219) with a kappa statistic of 0.755 (standard error, 0.037; 95% confidence interval [CI], 0.682 to 0.828). Passing-Bablok regression of log10 IU/ml values revealed a regression line of Y = 1.163 × X - 0.991 (95% CI of the slope, 1.103 to 1.221, and intercept, -1.341 to -0.642). The 95% lower limit of detection (LLOD) for Aptima HCV on dried blood spot (DBS) samples was calculated to be 2.43 log10 IU/ml (267 IU/ml; 95% CI, 2.31 to 2.73 log10 IU/ml [204 to 540 IU/ml]). A comparison of Aptima HCV testing on paired DBS and serum specimens collected from patients at the time of routine blood collection for CAP/CTM demonstrated an overall agreement of 90.1% (82/91) with a kappa statistic of 0.657 (standard error, 0.101; 95% CI, 0.458 to 0.855). In conclusion, Aptima HCV provides a suitable alternative for HCV RNA testing on serum and DBS samples.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  dried blood spots; hepatitis C virus; quantitative methods

Mesh:

Substances:

Year:  2019        PMID: 30760534      PMCID: PMC6440767          DOI: 10.1128/JCM.00030-19

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  33 in total

1.  Evaluating assay precision.

Authors:  Douglas Chesher
Journal:  Clin Biochem Rev       Date:  2008-08

2.  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.

Authors:  Anna Rosa Garbuglia; Angela Bibbò; Roberta Sciamanna; Marina Pisciotta; Maria Rosaria Capobianchi
Journal:  J Clin Virol       Date:  2017-04-26       Impact factor: 3.168

3.  Disparate detection outcomes for anti-HCV IgG and HCV RNA in dried blood spots.

Authors:  Alexandra Tejada-Strop; Jan Drobeniuc; Tonya Mixson-Hayden; Joseph C Forbi; Ngoc-Thao Le; Lixia Li; Joanne Mei; Norah Terrault; Saleem Kamili
Journal:  J Virol Methods       Date:  2014-11-13       Impact factor: 2.014

4.  Detection of hepatitis C virus RNA in dried blood spots.

Authors:  Susan Bennett; Rory N Gunson; Georgina E McAllister; Sharon J Hutchinson; David J Goldberg; Sheila O Cameron; William F Carman
Journal:  J Clin Virol       Date:  2012-03-13       Impact factor: 3.168

5.  Evaluation of the COBAS® AmpliPrep/COBAS® TaqMan® HCV Test v2.0 for HCV viral load monitoring using dried blood spot specimens.

Authors:  Ed G Marins; Keerthi Bodinaidu; Matthew Lin; Alison Deforest
Journal:  J Virol Methods       Date:  2017-05-30       Impact factor: 2.014

6.  HIV-1 and HCV detection in dried blood spots by SYBR Green multiplex real-time RT-PCR.

Authors:  Elisa De Crignis; Maria Carla Re; Laura Cimatti; Lisa Zecchi; Davide Gibellini
Journal:  J Virol Methods       Date:  2010-01-05       Impact factor: 2.014

Review 7.  Prevalence and burden of HCV co-infection in people living with HIV: a global systematic review and meta-analysis.

Authors:  Lucy Platt; Philippa Easterbrook; Erin Gower; Bethan McDonald; Keith Sabin; Catherine McGowan; Irini Yanny; Homie Razavi; Peter Vickerman
Journal:  Lancet Infect Dis       Date:  2016-02-25       Impact factor: 25.071

8.  Performance of the New Aptima HCV Quant Dx Assay in Comparison to the Cobas TaqMan HCV2 Test for Use with the High Pure System in Detection and Quantification of Hepatitis C Virus RNA in Plasma or Serum.

Authors:  Gunnar Schalasta; Andrea Speicher; Anna Börner; Martin Enders
Journal:  J Clin Microbiol       Date:  2016-02-10       Impact factor: 5.948

9.  Testing for HCV infection: an update of guidance for clinicians and laboratorians.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2013-05-10       Impact factor: 17.586

Review 10.  Diagnostic accuracy of detection and quantification of HBV-DNA and HCV-RNA using dried blood spot (DBS) samples - a systematic review and meta-analysis.

Authors:  Berit Lange; Teri Roberts; Jennifer Cohn; Jamie Greenman; Johannes Camp; Azumi Ishizaki; Luke Messac; Edouard Tuaillon; Philippe van de Perre; Christine Pichler; Claudia M Denkinger; Philippa Easterbrook
Journal:  BMC Infect Dis       Date:  2017-11-01       Impact factor: 3.090

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