HIV treatment cascade for older adults in rural South Africa.


Journal

Sexually transmitted infections
ISSN: 1472-3263
Titre abrégé: Sex Transm Infect
Pays: England
ID NLM: 9805554

Informations de publication

Date de publication:
06 2020
Historique:
received: 01 12 2018
revised: 14 05 2019
accepted: 02 06 2019
pubmed: 28 6 2019
medline: 24 6 2020
entrez: 28 6 2019
Statut: ppublish

Résumé

The HIV treatment cascade is a powerful framework for understanding progress from initial diagnosis to successful treatment. Data sources for cascades vary and often are based on clinical cohorts, population cohorts linked to clinics, or self-reported information. We use both biomarkers and self-reported data from a large population-based cohort of older South Africans to establish the first HIV cascade for this growing segment of the HIV-positive population and compare results using the different data sources. Data came from the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) 2015 baseline survey of 5059 adults aged 40+ years. Dried blood spots (DBS) were screened for HIV, antiretroviral drugs and viral load. In-home surveys asked about HIV testing, diagnosis and antiretroviral therapy (ART) use. We calculated proportions and CIs for each stage of the cascade, conditional on attainment of the previous stage, using (1) biomarkers, (2) self-report and (3) both biomarkers and self-report, and compared with UNAIDS 90-90-90 targets. 4560 participants had DBS results, among whom 1048 (23%) screened HIV-positive and comprised the denominator for each cascade. The biomarker cascade showed 63% (95% CI 60 to 66) on ART and 72% (95% CI 69 to 76) of those on ART with viral suppression. Self-reports underestimated testing, diagnosis and ART, with only 47% (95% CI 44 to 50) of HIV-positive individuals reporting ART use. The combined cascade indicated high HIV testing (89% (95% CI 87 to 91)), but lower knowledge of HIV-positive status (71% (95% CI 68 to 74)). Older South Africans need repeated HIV testing and sustained ART to reach 90-90-90 targets. HIV cascades relying on self-reports are likely to underestimate true cascade attainment, and biomarkers provide substantial improvements to cascade estimates.

Identifiants

pubmed: 31243144
pii: sextrans-2018-053925
doi: 10.1136/sextrans-2018-053925
pmc: PMC6930968
mid: NIHMS1044840
doi:

Substances chimiques

Anti-Retroviral Agents 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

271-276

Subventions

Organisme : FIC NIH HHS
ID : D43 TW009775
Pays : United States
Organisme : Wellcome Trust
ID : 069683/Z/02/Z
Pays : United Kingdom
Organisme : NICHD NIH HHS
ID : R01 HD084233
Pays : United States
Organisme : Wellcome Trust
ID : 085477/Z/08/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 058893/Z/99/A
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : R01 AI124389
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : P01 AG041710
Pays : United States
Organisme : Wellcome Trust
ID : 085477/B/08/Z
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : R01 AI112339
Pays : United States

Informations de copyright

© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Julia K Rohr (JK)

Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts, USA jkrohr@hsph.harvard.edu.

Jennifer Manne-Goehler (J)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.

Francesc Xavier Gómez-Olivé (FX)

Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Ryan G Wagner (RG)

Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Molly Rosenberg (M)

Department of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.

Pascal Geldsetzer (P)

Department of Global Health and Population, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Chodziwadziwa Kabudula (C)

Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Kathleen Kahn (K)

Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Centre for Global Health Research, Umea University, Umea, Sweden.

Stephen Tollman (S)

Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Centre for Global Health Research, Umea University, Umea, Sweden.

Till Bärnighausen (T)

Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Heidelberg Insititute of Global Health, University of Heidelberg, Heidelberg, Germany.
Africa Health Research Institute, Mtubatuba, South Africa.

Joshua A Salomon (JA)

Department of Medicine, Stanford University, Stanford, California, USA.

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