Literature DB >> 16286047

Comprehensive comparison of the VERSANT HIV-1 RNA 3.0 (bDNA) and COBAS AMPLICOR HIV-1 MONITOR 1.5 assays on 1,000 clinical specimens.

Rick Galli1, Linda Merrick, Michel Friesenhahn, Rainer Ziermann.   

Abstract

BACKGROUND: Plasma human immunodeficiency virus type 1 (HIV-1) RNA level is an important parameter for patient management, yet viral load assays from different manufacturers are not standardized. OBJECTIVES AND STUDY
DESIGN: In this study, we evaluated the concordance between test results obtained for 1,000 plasma specimens collected from HIV-1-infected individuals measured with the VERSANT HIV-1 RNA 3.0 assay (bDNA) and the COBAS AMPLICOR HIV-1 MONITOR 1.5 test (PCR). We compared viral load values obtained by each of these assays throughout their dynamic ranges, with particular focus on samples with low viral load (i.e. 50-250 copies/mL), and calculated the estimated distribution of distinct plasma viral load levels for the entire study population modeled from the data observed in the study.
RESULTS: We found that these two assays show excellent agreement, with a correlation (R(2)) of 0.957 and a slope of 1.004. The mean difference in viral load values between the two assays was less than 0.10-log(10) throughout the dynamic range and 98.2% of all samples had bDNA and PCR results within 0.5-log(10) of each other, a difference that is within the range considered to be a minimal change in plasma viremia. Moreover, the two assays show very similar results across all assay ranges tested. The estimated prevalence of samples with results <50 copies/mL, 50-250 copies/mL, and 250-500,000 copies/mL were 41.6%, 7.7%, and 49.7%, respectively, by the bDNA assay, and 42.4%, 6.9%, and 50.7%, respectively, by the PCR assay.
CONCLUSION: Based on our findings from 1,000 clinical specimens, we do not see the need to re-establish a baseline value or apply a conversion factor when switching from one assay to the other. Since the majority of our patient population likely is infected with subtype B virus, it is unclear if our findings will apply to other patient populations with a greater incidence of infection with non-B subtypes.

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Year:  2005        PMID: 16286047     DOI: 10.1016/j.jcv.2004.12.012

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


  10 in total

1.  Evaluation of a high-throughput diagnostic system for detection of HIV-1 in dried blood spot samples from infants in Mozambique.

Authors:  Ilesh V Jani; Jennifer Sabatier; Adolfo Vubil; Shambavi Subbarao; Dulce Bila; Amina de Sousa; Nédio Mabunda; Albert Garcia; Beth Skaggs; Dennis Ellenberger; Artur Ramos
Journal:  J Clin Microbiol       Date:  2012-01-25       Impact factor: 5.948

Review 2.  Mathematical Modeling of HIV Dynamics After Antiretroviral Therapy Initiation: A Review.

Authors:  Pablo S Rivadeneira; Claude H Moog; Guy-Bart Stan; Cecile Brunet; François Raffi; Virginie Ferré; Vicente Costanza; Marie J Mhawej; Federico Biafore; Djomangan A Ouattara; Damien Ernst; Raphael Fonteneau; Xiaohua Xia
Journal:  Biores Open Access       Date:  2014-10-01

Review 3.  Advances in developing HIV-1 viral load assays for resource-limited settings.

Authors:  ShuQi Wang; Feng Xu; Utkan Demirci
Journal:  Biotechnol Adv       Date:  2010-07-01       Impact factor: 14.227

4.  Evaluation of a highly sensitive qualitative human immunodeficiency virus type 1 (HIV-1) RNA assay for detection of HIV-1 suppression.

Authors:  C Thomas Nugent; Vladislav Nodelman; Cristina Giachetti; Douglas D Richman; David J Looney
Journal:  J Clin Microbiol       Date:  2008-12-30       Impact factor: 5.948

5.  Viral load testing in a resource-limited setting: quality control is critical.

Authors:  Jane Greig; Philipp du Cros; Derryck Klarkowski; Clair Mills; Steffen Jørgensen; P Richard Harrigan; Daniel P O'Brien
Journal:  J Int AIDS Soc       Date:  2011-05-12       Impact factor: 5.396

6.  Viral load levels measured at set-point have risen over the last decade of the HIV epidemic in the Netherlands.

Authors:  Luuk Gras; Suzanne Jurriaans; Margreet Bakker; Ard van Sighem; Daniela Bezemer; Christophe Fraser; Joep Lange; Jan M Prins; Ben Berkhout; Frank de Wolf
Journal:  PLoS One       Date:  2009-10-07       Impact factor: 3.240

7.  HIV-2 diagnosis and quantification in high-risk patients.

Authors:  Philip A Chan; Sarah E Wakeman; Timothy Flanigan; Susan Cu-Uvin; Erna Kojic; Rami Kantor
Journal:  AIDS Res Ther       Date:  2008-08-14       Impact factor: 2.250

8.  Role of the laboratory in ensuring global access to ARV treatment for HIV-infected children: consensus statement on the performance of laboratory assays for early infant diagnosis.

Authors:  W Stevens; G Sherman; R Downing; L M Parsons; C-Y Ou; S Crowley; G M Gershy-Damet; K Fransen; M Bulterys; L Lu; J Homsy; T Finkbeiner; J N Nkengasong
Journal:  Open AIDS J       Date:  2008-03-10

9.  Reliability at the lower limits of HIV-1 RNA quantification in clinical samples: a comparison of RT-PCR versus bDNA assays.

Authors:  Ronald J Lubelchek; Blake Max; Caroline J Sandusky; Bala Hota; David E Barker
Journal:  PLoS One       Date:  2009-06-23       Impact factor: 3.240

Review 10.  Systematic review of the performance of HIV viral load technologies on plasma samples.

Authors:  Kimberly A Sollis; Pieter W Smit; Susan Fiscus; Nathan Ford; Marco Vitoria; Shaffiq Essajee; David Barnett; Ben Cheng; Suzanne M Crowe; Thomas Denny; Alan Landay; Wendy Stevens; Vincent Habiyambere; Jos Perrins; Rosanna W Peeling
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

  10 in total

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