Literature DB >> 21314476

Effect of CD4+ T cell count and antiretroviral treatment on two serological HIV incidence assays.

Wolfgang Hladik1, Dennis Olara, Jonathan Mermin, David Moore, Willy Were, Lorraine Alexander, Robert Downing.   

Abstract

Serological assays are increasingly being used to measure HIV incidence in cross-sectional studies, but their specificity to determine incident infections remains problematic. We estimated the specificity of the BED assay in a cohort of long-term HIV-infected adults before and during antiretroviral treatment (ART) and evaluated an HIV avidity assay to detect BED-based false-recent results. We used the BED assay to test stored specimens from known long-term HIV-1-infected adult Ugandans before and at 3, 12, and 24 months after ART initiation. We evaluated the frequency of false-recent classifications by ART status and CD4(+) T(+) cell count. Specimens classified as BED false-recent were further tested with an avidity assay. In all, 950 blood specimens from 253 adults were tested with the BED assay. Of these, 149 (15.7%) specimens tested false-recent and 64 (24.9%) individuals tested false-recent at least once. Among all specimens tested, the proportion of false-recent rose with increasing CD4(+) cell count (<250 cells/μl: 11.3%, 250-499: 17.8%, ≥500: 21.4%; p for trend=0.002). Of 197 persons with all four BED results available, 75.6% were classified as long-term infected throughout and 8.1% as false-recent throughout; the remainder changed classification once (12.2%) or twice (4.1%). Of 105 false-recent specimens retested with the avidity assay, 101 (96.2%) were correctly classified as "long-term." The BED assay's specificity varied with CD4(+) cell count and use of ART. Knowledge of these parameters for blood samples could improve incidence estimates using the BED assay. The additional use of an avidity assay may help to minimize the proportion of BED false-recent specimens.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21314476     DOI: 10.1089/AID.2010.0347

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


  15 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.  Multiple HIV-1-specific IgG3 responses decline during acute HIV-1: implications for detection of incident HIV infection.

Authors:  Nicole L Yates; Judith T Lucas; Tracy L Nolen; Nathan A Vandergrift; Kelly A Soderberg; Kelly E Seaton; Thomas N Denny; Barton F Haynes; Myron S Cohen; Georgia D Tomaras
Journal:  AIDS       Date:  2011-11-13       Impact factor: 4.177

3.  Specificity of four laboratory approaches for cross-sectional HIV incidence determination: analysis of samples from adults with known nonrecent HIV infection from five African countries.

Authors:  Oliver Laeyendecker; Ron Brookmeyer; Caroline E Mullis; Deborah Donnell; Jairam Lingappa; Connie Celum; Jared M Baeten; Mary S Campbell; Max Essex; Guy de Bruyn; Carey Farquhar; Thomas C Quinn; Susan H Eshleman
Journal:  AIDS Res Hum Retroviruses       Date:  2012-10       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.  A new general biomarker-based incidence estimator.

Authors:  Reshma Kassanjee; Thomas A McWalter; Till Bärnighausen; Alex Welte
Journal:  Epidemiology       Date:  2012-09       Impact factor: 4.822

6.  Association of recent HIV infection and in-utero HIV-1 transmission.

Authors:  Taha E Taha; Maria M James; Donald R Hoover; Jin Sun; Oliver Laeyendecker; Caroline E Mullis; Johnstone J Kumwenda; Jairam R Lingappa; Bertran Auvert; Charles S Morrison; Lynne M Mofensen; Allan Taylor; Mary G Fowler; Newton I Kumenda; Susan H Eshleman
Journal:  AIDS       Date:  2011-07-17       Impact factor: 4.177

7.  Immune responses in Ugandan women infected with subtypes A and D HIV using the BED capture immunoassay and an antibody avidity assay.

Authors:  Andrew F Longosz; Charles S Morrison; Pai-Lien Chen; Eric Arts; Immaculate Nankya; Robert A Salata; Veronica Franco; Thomas C Quinn; Susan H Eshleman; Oliver Laeyendecker
Journal:  J Acquir Immune Defic Syndr       Date:  2014-04-01       Impact factor: 3.731

8.  Incorrect identification of recent HIV infection in adults in the United States using a limiting-antigen avidity assay.

Authors:  Andrew F Longosz; Shruti H Mehta; Gregory D Kirk; Joseph B Margolick; Joelle Brown; Thomas C Quinn; Susan H Eshleman; Oliver Laeyendecker
Journal:  AIDS       Date:  2014-05-15       Impact factor: 4.177

9.  Differential specificity of HIV incidence assays in HIV subtypes A and D-infected individuals from Rakai, Uganda.

Authors:  Caroline E Mullis; Supriya Munshaw; Mary K Grabowski; Susan H Eshleman; David Serwadda; Ronald Brookmeyer; Fred Nalugoda; Godfrey Kigozi; Joseph Kagaayi; Aaron A R Tobian; Maria Wawer; Ronald H Gray; Thomas C Quinn; Oliver Laeyendecker
Journal:  AIDS Res Hum Retroviruses       Date:  2013-05-29       Impact factor: 2.205

10.  Detection of recent HIV-1 infection using a new limiting-antigen avidity assay: potential for HIV-1 incidence estimates and avidity maturation studies.

Authors:  Yen T Duong; Maofeng Qiu; Anindya K De; Keisha Jackson; Trudy Dobbs; Andrea A Kim; John N Nkengasong; Bharat S Parekh
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.