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P3.129 Identifying Recently Acquired HIV Infections Among Newly Diagnosed Men Who Have Sex with Men in the Netherlands
  1. J Sane1,2,
  2. M Koot3,
  3. T Heijman4,
  4. B Hogema3,
  5. M van Veen4,
  6. H Götz5,
  7. H Fennema4,
  8. E Op de Coul1
  1. 1Unit of Epidemiology and Surveillance, RIVM, Centre for Infectious Disease Control, Bilthoven, The Netherlands
  2. 2European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
  3. 3Sanquin Blood Supply, Virus Diagnostic Services, Amsterdam, The Netherlands
  4. 4Amsterdam Public Health Service, Cluster of Infectious Diseases, Department of Research and STI outpatient clinic, Amsterdam, The Netherlands
  5. 5Department of Infectious Disease Control, Municipal Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands


Background The number of newly diagnosed HIV infections among men who have sex with men (MSM) has gradually increased in the Netherlands during the past decade. However, the current HIV surveillance system cannot differentiate recent HIV infections from longstanding HIV infections. We determined the proportion of recent HIV infections (RI) and estimated HIV incidence using Recent Infection Testing Algorithm (RITA) among newly diagnosed HIV infections among MSM in Amsterdam and Rotterdam.

Methods Plasma samples (n = 251) collected from newly HIV-diagnosed MSM during 2009–2011 at the STI clinics in Amsterdam and Rotterdam were analysed in the study. To test for recent infections, anti-HIV avidity index (AI) was measured in plasma with Architect HIV Ag/Ab Combo immunoassay. Samples were classified as recent if the AI was ≤ 0.80. Data on viral load, CD4 count and previous HIV testing were incorporated in the RITA algorithm to minimise false recent infections. HIV incidence and 95% confidence intervals (CI) were estimated using previously described methods.

Results Of the 251 samples from MSM, 83 were classified as recent by the avidity index. Five cases were reclassified as non-recent based on low CD4 count (n = 2) and viral load (n = 2) and history of HIV infection (n = 1) and thus, 78/251 (31%) infections were determined as recent on RITA. Proportions of RIs in 2009, 2010 and 2011 were 32%, 28% and 33%, respectively. The estimate for combined incidence was 1.5% per year (95% CI 1.17–1.83). No significant changes over time were observed.

Conclusions This study estimated the proportion of RIs and HIV incidence among MSM in the Netherlands using the RITA algorithm for the first time. The proportion of RIs was comparable to similar studies in other European countries such as the UK, which however used different methodology.

  • HIV
  • recent infection
  • RITA

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