Literature DB >> 11282014

Evaluation of a sensitive/less-sensitive testing algorithm using the 3A11-LS assay for detecting recent HIV seroconversion among individuals with HIV-1 subtype B or E infection in Thailand.

B S Parekh1, D J Hu, S Vanichseni, G A Satten, D Candal, N L Young, D Kitayaporn, L O Srisuwanvilai, S Rakhtam, R Janssen, K Choopanya, T D Mastro.   

Abstract

The development of a serologic algorithm to determine recent HIV seroconversion, using sensitive/less-sensitive testing strategies, has generated widespread interest in applying this approach to estimate HIV-1 incidence in various populations around the world. To evaluate this approach in non-B subtypes, longitudinal specimens (n = 522) collected from 90 incident infections among injecting drug users in Bangkok (subtype B infection, n = 18; subtype E infection, n = 72) were tested by the 3A11-LS assay. Standardized optical density (SOD) was calculated, using median values, and the window period between seroconversion as determined by sensitive and less sensitive tests was estimated by a maximum-likelihood model described previously. Our results show that the mean window period of the 3A11-LS assay was 155 days (95% CI, 128-189 days) for subtype B but was 270 days (95% CI, 187-349 days) for subtype E specimens from Thailand. About 4% of individuals with incident subtype E infections remained below the threshold (SOD of 0.75), even 2 years after seroconversion. Among the patients with clinical AIDS and declining antibodies, none of the 7 individuals with subtype B, but 10 (8.7%) of 115 with subtype E infections, were misclassified as recent infections. Lowering the cutoff to an SOD of 0.45 for subtype E specimens resulted in a mean window period of 185 days (95% CI, 154-211 days), with all individuals seroconverting, and reduced the number of subtype E-infected patients with AIDS who were misclassified as having recent infection to 2.6%. Our results demonstrate that the 3A11-LS assay has different performance characteristics in detecting recent infections among individuals infected with subtypes B or E. Determining appropriate cutoffs and mean window periods for other HIV-1 subtypes will be necessary before this approach can be reliably implemented in settings where non-B subtypes are common.

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Year:  2001        PMID: 11282014     DOI: 10.1089/088922201750102562

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  21 in total

1.  Performance characteristics of the immunoglobulin G-capture BED-enzyme immunoassay, an assay to detect recent human immunodeficiency virus type 1 seroconversion.

Authors:  Trudy Dobbs; Susan Kennedy; Chou-Pong Pau; J Steven McDougal; Bharat S Parekh
Journal:  J Clin Microbiol       Date:  2004-06       Impact factor: 5.948

2.  Seroincidence of recent human immunodeficiency virus type 1 infections in China.

Authors:  Yao Xiao; Yan Jiang; Jigang Feng; Wenyan Xu; Minjie Wang; Ellen Funkhouser; Sten H Vermund; Yujiang Jia
Journal:  Clin Vaccine Immunol       Date:  2007-08-01

3.  Impact of HIV subtype on performance of the limiting antigen-avidity enzyme immunoassay, the bio-rad avidity assay, and the BED capture immunoassay in Rakai, Uganda.

Authors:  Andrew F Longosz; David Serwadda; Fred Nalugoda; Godfrey Kigozi; Veronica Franco; Ronald H Gray; Thomas C Quinn; Susan H Eshleman; Oliver Laeyendecker
Journal:  AIDS Res Hum Retroviruses       Date:  2013-10-25       Impact factor: 2.205

4.  Precision and accuracy of a procedure for detecting recent human immunodeficiency virus infections by calculating the antibody avidity index by an automated immunoassay-based method.

Authors:  Barbara Suligoi; Claudio Galli; Mario Massi; Fiorella Di Sora; Mauro Sciandra; Patrizio Pezzotti; Olga Recchia; Francesco Montella; Alessandro Sinicco; Giovanni Rezza
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

5.  Modification of rapid human immunodeficiency virus (HIV) antibody assay protocols for detecting recent HIV seroconversion.

Authors:  Stephen D Soroka; Timothy C Granade; Debra Candal; Bharat S Parekh
Journal:  Clin Diagn Lab Immunol       Date:  2005-08

6.  Trends of HIV-1 seroincidence among HIV-1 sentinel surveillance groups in Cambodia, 1999-2002.

Authors:  Vonthanak Saphonn; Bharat S Parekh; Trudy Dobbs; ChiVun Mean; Leng Hor Bun; Sun Penh Ly; Sopheab Heng; Roger Detels
Journal:  J Acquir Immune Defic Syndr       Date:  2005-08-15       Impact factor: 3.731

7.  Development and validation of an immunoassay for identification of recent human immunodeficiency virus type 1 infections and its use on dried serum spots.

Authors:  Francis Barin; Laurence Meyer; Rémi Lancar; Christiane Deveau; Myriam Gharib; Anne Laporte; Jean-Claude Desenclos; Dominique Costagliola
Journal:  J Clin Microbiol       Date:  2005-09       Impact factor: 5.948

8.  Estimating HIV Incidence in Populations Using Tests for Recent Infection: Issues, Challenges and the Way Forward.

Authors:  Timothy D Mastro; Andrea A Kim; Timothy Hallett; Thomas Rehle; Alex Welte; Oliver Laeyendecker; Tom Oluoch; Jesus M Garcia-Calleja
Journal:  J HIV AIDS Surveill Epidemiol       Date:  2010-01-01

Review 9.  How can we better identify early HIV infections?

Authors:  Nora E Rosenberg; Christopher D Pilcher; Michael P Busch; Myron S Cohen
Journal:  Curr Opin HIV AIDS       Date:  2015-01       Impact factor: 4.283

10.  Rate and incidence estimates of recent human immunodeficiency virus type 1 infections among pregnant women in Sao Paulo, Brazil, from 1991 to 2002.

Authors:  Carmem A de Freitas Oliveira; Mirthes Ueda; Rosemeire Yamashiro; Rosângela Rodrigues; Haynes W Sheppard; Luís Fernando de Macedo Brígido
Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

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