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Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment.
Grant-McAuley, Wendy; Laeyendecker, Oliver; Monaco, Daniel; Chen, Athena; Hudelson, Sarah E; Klock, Ethan; Brookmeyer, Ron; Morrison, Douglas; Piwowar-Manning, Estelle; Morrison, Charles S; Hayes, Richard; Ayles, Helen; Bock, Peter; Kosloff, Barry; Shanaube, Kwame; Mandla, Nomtha; van Deventer, Anneen; Ruczinski, Ingo; Kammers, Kai; Larman, H Benjamin; Eshleman, Susan H.
Afiliação
  • Grant-McAuley W; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Laeyendecker O; Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, USA.
  • Monaco D; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Chen A; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Hudelson SE; Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Klock E; Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
  • Brookmeyer R; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Morrison D; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Piwowar-Manning E; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
  • Morrison CS; Department of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA.
  • Hayes R; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Ayles H; Behavioral, Epidemiologic, and Clinical Sciences, Durham, NC, FHI 360, USA.
  • Bock P; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
  • Kosloff B; Zambart, University of Zambia School of Public Health, Lusaka, Zambia.
  • Shanaube K; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK.
  • Mandla N; Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa.
  • van Deventer A; Zambart, University of Zambia School of Public Health, Lusaka, Zambia.
  • Ruczinski I; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK.
  • Kammers K; Zambart, University of Zambia School of Public Health, Lusaka, Zambia.
  • Larman HB; Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa.
  • Eshleman SH; Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa.
BMC Infect Dis ; 22(1): 838, 2022 Nov 11.
Article em En | MEDLINE | ID: mdl-36368950
ABSTRACT

BACKGROUND:

Multi-assay algorithms (MAAs) are used to estimate population-level HIV incidence and identify individuals with recent infection. Many MAAs use low viral load (VL) as a biomarker for long-term infection. This could impact incidence estimates in settings with high rates of early HIV treatment initiation. We evaluated the performance of two MAAs that do not include VL.

METHODS:

Samples were collected from 219 seroconverters (infected < 1 year) and 4376 non-seroconverters (infected > 1 year) in the HPTN 071 (PopART) trial; 28.8% of seroconverter samples and 73.2% of non-seroconverter samples had VLs ≤ 400 copies/mL. Samples were tested with the Limiting Antigen Avidity assay (LAg) and JHU BioRad-Avidity assays. Antibody reactivity to two HIV peptides was measured using the MSD U-PLEX assay. Two MAAs were evaluated that do not include VL a MAA that includes the LAg-Avidity assay and BioRad-Avidity assay (LAg + BR) and a MAA that includes the LAg-Avidity assay and two peptide biomarkers (LAg + PepPair). Performance of these MAAs was compared to a widely used MAA that includes LAg and VL (LAg + VL).

RESULTS:

The incidence estimate for LAg + VL (1.29%, 95% CI 0.97-1.62) was close to the observed longitudinal incidence (1.34% 95% CI 1.17-1.53). The incidence estimates for the other two MAAs were higher (LAg + BR 2.56%, 95% CI 2.01-3.11; LAg + PepPair 2.84%, 95% CI 1.36-4.32). LAg + BR and LAg + PepPair also misclassified more individuals infected > 2 years as recently infected than LAg + VL (1.2% [42/3483 and 1.5% [51/3483], respectively, vs. 0.2% [6/3483]). LAg + BR classified more seroconverters as recently infected than LAg + VL or LAg + PepPair (80 vs. 58 and 50, respectively) and identified ~ 25% of virally suppressed seroconverters as recently infected.

CONCLUSIONS:

The LAg + VL MAA produced a cross-sectional incidence estimate that was closer to the longitudinal estimate than two MAAs that did not include VL. The LAg + BR MAA classified the greatest number of individual seroconverters as recently infected but had a higher false recent rate.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV Tipo de estudo: Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV Tipo de estudo: Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos