Literature DB >> 18301064

Improved HIV-1 incidence estimates using the BED capture enzyme immunoassay.

John W Hargrove1, Jean H Humphrey, Kuda Mutasa, Bharat S Parekh, J Steve McDougal, Robert Ntozini, Henry Chidawanyika, Lawrence H Moulton, Brian Ward, Kusum Nathoo, Peter J Iliff, Ekkehard Kopp.   

Abstract

OBJECTIVE: To validate the BED capture enzyme immunoassay for HIV-1 subtype C and to derive adjustments facilitating estimation of HIV-1 incidence from cross-sectional surveys.
DESIGN: Laboratory analysis of archived plasma samples collected in Zimbabwe.
METHODS: Serial plasma samples from 85 women who seroconverted to HIV-1 during the postpartum year were assayed by BED and used to estimate the window period between seroconversion and the attainment of a specified BED absorbance. HIV-1 incidences for the year prior to recruitment and for the postpartum year were calculated by applying the BED technique to HIV-1-positive samples collected at baseline and at 12 months.
RESULTS: The mean window for an absorbance cut-off of 0.8 was 187 days. Among women who were HIV-1 positive at baseline and retested at 12 months, a proportion (epsilon) 5.2% (142/2749) had a BED absorbance < 0.8 at 12 months and were falsely identified as recent seroconverters. Consequently, the estimated BED annual incidence at 12 months postpartum (7.6%) was 2.2 times the contemporary prospective estimate. BED incidence adjusted for epsilon was 3.5% [95% confidence interval (CI), 2.6-4.5], close to the 3.4% estimated prospectively. Adjusted BED incidence at baseline was 6.0% (95% CI, 5.2-6.9) and, like the prospective estimates, declined with maternal age. Unadjusted BED incidence estimates were largely independent of age; the pooled estimate was 58% higher than adjusted incidence.
CONCLUSION: The BED method can be used in an African setting, but further estimates of epsilon and of the window period are required, using large samples in a variety of circumstances, before its general utility can be gauged.

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Year:  2008        PMID: 18301064     DOI: 10.1097/QAD.0b013e3282f2a960

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  72 in total

1.  Factors associated with incorrect identification of recent HIV infection using the BED capture immunoassay.

Authors:  Oliver Laeyendecker; Ron Brookmeyer; Amy E Oliver; Caroline E Mullis; Kevin P Eaton; Amy C Mueller; Lisa P Jacobson; Joseph B Margolick; Joelle Brown; Charles R Rinaldo; Thomas C Quinn; Susan H Eshleman
Journal:  AIDS Res Hum Retroviruses       Date:  2011-12-01       Impact factor: 2.205

2.  Can HIV incidence testing be used for evaluating HIV intervention programs? A reanalysis of the Orange Farm male circumcision trial (ANRS-1265).

Authors:  Agnès Fiamma; Pascale Lissouba; Oliver E Amy; Beverley Singh; Oliver Laeyendecker; Thomas C Quinn; Dirk Taljaard; Bertran Auvert
Journal:  BMC Infect Dis       Date:  2010-05-27       Impact factor: 3.090

3.  Short Communication: Defining optimality of a test for recent infection for HIV incidence surveillance.

Authors:  Reshma Kassanjee; Thomas A McWalter; Alex Welte
Journal:  AIDS Res Hum Retroviruses       Date:  2013-10-26       Impact factor: 2.205

4.  Estimating False-Recent Classification for the Limiting-Antigen Avidity EIA and BED-Capture Enzyme Immunoassay in Vietnam: Implications for HIV-1 Incidence Estimates.

Authors:  Neha S Shah; Yen T Duong; Linh-Vi Le; Nguyen Anh Tuan; Bharat S Parekh; Hoang Thi Thanh Ha; Quang Duy Pham; Cao Thi Thu Cuc; Trudy Dobbs; Tran Hong Tram; Truong Thi Xuan Lien; Nick Wagar; Chunfu Yang; Amy Martin; Mitchell Wolfe; Nguyen Tran Hien; Andrea A Kim
Journal:  AIDS Res Hum Retroviruses       Date:  2017-03-13       Impact factor: 2.205

5.  Relating recent infection prevalence to incidence with a sub-population of assay non-progressors.

Authors:  Thomas Andrew McWalter; Alex Welte
Journal:  J Math Biol       Date:  2009-07-25       Impact factor: 2.259

6.  Reply to 'Should biomarker estimates of HIV incidence be adjusted?'.

Authors:  Alex Welte; Thomas A McWalter; Till Bärnighausen
Journal:  AIDS       Date:  2009-09-24       Impact factor: 4.177

7.  A comprehensive evaluation of the proficiency testing program for the HIV-1 BED incidence assay.

Authors:  Trudy Dobbs; Xin Liu; Rebecca Anderson; John Nkengasong; Bharat S Parekh
Journal:  J Clin Microbiol       Date:  2011-08-10       Impact factor: 5.948

8.  Lower-sensitivity and avidity modifications of the vitros anti-HIV 1+2 assay for detection of recent HIV infections and incidence estimation.

Authors:  Sheila M Keating; Debra Hanson; Mila Lebedeva; Oliver Laeyendecker; N'ko L Ali-Napo; S Michele Owen; Susan L Stramer; Richard D Moore; Philip J Norris; Michael P Busch
Journal:  J Clin Microbiol       Date:  2012-10-03       Impact factor: 5.948

Review 9.  Diagnosis of Human Immunodeficiency Virus Infection.

Authors:  Bharat S Parekh; Chin-Yih Ou; Peter N Fonjungo; Mireille B Kalou; Erin Rottinghaus; Adrian Puren; Heather Alexander; Mackenzie Hurlston Cox; John N Nkengasong
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

10.  Short communication: effect of short-course antenatal zidovudine and single-dose nevirapine on the BED capture enzyme immunoassay levels in HIV type 1 subtype C infection.

Authors:  Rui Wang; Jia Weng; Sikhulile Moyo; Debanjan Pain; Christopher D Barr; Dorcas Maruapula; Dineo Mongwato; Joseph Makhema; Vladimir Novitsky; M Essex
Journal:  AIDS Res Hum Retroviruses       Date:  2013-04-19       Impact factor: 2.205

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