Determination of HIV status and identification of incident HIV infections in a large, community-randomized trial: HPTN 071 (PopART).


Journal

Journal of the International AIDS Society
ISSN: 1758-2652
Titre abrégé: J Int AIDS Soc
Pays: Switzerland
ID NLM: 101478566

Informations de publication

Date de publication:
02 2020
Historique:
received: 26 07 2019
accepted: 14 01 2020
entrez: 20 2 2020
pubmed: 20 2 2020
medline: 5 11 2020
Statut: ppublish

Résumé

The HPTN 071 (PopART) trial evaluated the impact of an HIV combination prevention package that included "universal testing and treatment" on HIV incidence in 21 communities in Zambia and South Africa during 2013-2018. The primary study endpoint was based on the results of laboratory-based HIV testing for> 48,000 participants who were followed for up to three years. This report evaluated the performance of HIV assays and algorithms used to determine HIV status and identify incident HIV infections in HPTN 071, and assessed the impact of errors on HIV incidence estimates. HIV status was determined using a streamlined, algorithmic approach. A single HIV screening test was performed at centralized laboratories in Zambia and South Africa (all participants, all visits). Additional testing was performed at the HPTN Laboratory Center using antigen/antibody screening tests, a discriminatory test and an HIV RNA test. This testing was performed to investigate cases with discordant test results and confirm incident HIV infections. HIV testing identified 978 seroconverter cases. This included 28 cases where the participant had acute HIV infection at the first HIV-positive visit. Investigations of cases with discordant test results identified cases where there was a participant or sample error (mixups). Seroreverter cases (errors where status changed from HIV infected to HIV uninfected, 0.4% of all cases) were excluded from the primary endpoint analysis. Statistical analysis demonstrated that exclusion of those cases improved the accuracy of HIV incidence estimates. This report demonstrates that the streamlined, algorithmic approach effectively identified HIV infections in this large cluster-randomized trial. Longitudinal HIV testing (all participants, all visits) and quality control testing provided useful data on the frequency of errors and provided more accurate data for HIV incidence estimates.

Identifiants

pubmed: 32072743
doi: 10.1002/jia2.25452
pmc: PMC7028526
doi:

Banques de données

ClinicalTrials.gov
['NCT01900977']

Types de publication

Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e25452

Subventions

Organisme : NIAID NIH HHS
ID : U01 AI068619
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI095068
Pays : United States
Organisme : Medical Research Council
ID : MR/R010161/1
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : UM1 AI068613
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068617
Pays : United States
Organisme : PEPFAR
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI068617
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI068613
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068619
Pays : United States

Informations de copyright

© 2020 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

Références

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Auteurs

Susan H Eshleman (SH)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Estelle Piwowar-Manning (E)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Ethan A Wilson (EA)

Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Denni Lennon (D)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Jessica M Fogel (JM)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Yaw Agyei (Y)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Philip A Sullivan (PA)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Lei Weng (L)

Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Ayana Moore (A)

FHI360, Durham, NC, USA.

Oliver Laeyendecker (O)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Barry Kosloff (B)

Zambart, University of Zambia School of Medicine, Lusaka, Zambia.
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK.

Justin Bwalya (J)

Zambart, University of Zambia School of Medicine, Lusaka, Zambia.

Gerald Maarman (G)

Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa.

Anneen van Deventer (A)

Stellenbosch University, Stellenbosch, Western Cape, South Africa.

Sian Floyd (S)

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Peter Bock (P)

Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa.

Helen Ayles (H)

Zambart, University of Zambia School of Medicine, Lusaka, Zambia.
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK.

Sarah Fidler (S)

Imperial College London, London, UK.

Richard Hayes (R)

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Deborah Donnell (D)

Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

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Classifications MeSH