Temporal trend and characteristics of recent HIV-1 infections: Application of an algorithm for the identification of recently acquired HIV-1 infections among newly diagnosed individuals over a 10-year period

Nicoletta Orchi, Catia Sias, Chrysoula Vlassi, Assunta Navarra, Claudio Angeletti, Vincenzo Puro, Maria R. Sciarrone, Maria R. Capobianchi, Enrico Girardi

Research output: Contribution to journalArticle

Abstract

Identification of recent infections (RI) may contribute to improve the quality of human immunodeficiency virus (HIV) surveillance, monitoring ongoing transmission and planning and evaluating prevention programs. Our study applied an algorithm combining clinical and serological information to identify RI in individuals newly diagnosed with HIV in Rome, during the years 1999-2008, in order to describe the trend and characteristics of recently infected individuals. RI were documented seroconverters, or people with an HIV avidity index (AI)

Original languageEnglish
Pages (from-to)353-361
Number of pages9
JournalNew Microbiologica
Volume36
Issue number4
Publication statusPublished - Oct 2013

Keywords

  • Antibody avidity
  • Long-standing infection
  • Newly diagnosed HIV infection
  • Recent infection
  • Serological testing algorithm for recent HIV seroconversion

ASJC Scopus subject areas

  • Microbiology (medical)

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