PLOS Global Public Health (Jan 2022)

Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS).

  • Hetal K Patel,
  • Sunday Ikpe,
  • Megan Bronson,
  • Sehin Birhanu,
  • Alash'le Abimiku,
  • Ibrahim Jahun,
  • Mervi Detorio,
  • Kathryn Lupoli,
  • Daniel Yavo,
  • Orji O Bassey,
  • Tapdiyel D Jelpe,
  • Brian Kagurusi,
  • Nnaemeka C Iriemenam,
  • Divya Patel,
  • McPaul I Okoye,
  • Ibrahim T Dalhatu,
  • Stephen Ohakanu,
  • Andrew C Voetsch,
  • Sani Aliyu,
  • Gregory Ashefor,
  • Aliyu Gambo,
  • Gabriel O Ikwulono,
  • Charles Nzelu,
  • Isaac F Adewole,
  • Mahesh Swaminathan,
  • Bharat Parekh

DOI
https://doi.org/10.1371/journal.pgph.0000466
Journal volume & issue
Vol. 2, no. 7
p. e0000466

Abstract

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BackgroundThe Nigeria AIDS Indicator and Impact Survey (NAIIS), a cross-sectional household survey, was conducted in 2018 with primary objectives to estimate HIV prevalence, HIV-1 incidence, and status of UNAIDS 90-90-90 cascade. We conducted retrospective analysis of the performance of HIV rapid tests and the national HIV testing algorithm used in Nigeria.MethodsThe national algorithm included Determine HIV-1/2 as test 1 (T1), Unigold HIV-1/2 as test 2 (T2), and StatPak HIV-1/2 as the tie-breaker test (T3). Individuals reactive with T1 and either T2 or T3 were considered HIV-positive. HIV-positive specimens from the algorithm were further confirmed for the survey using supplemental test Geenius HIV-1/2. If Geenius did not confirm HIV-positive status, HIV-1 Western blot was performed. We calculated the concordance between tests and positive predictive value (PPV) of the algorithm on unweighted data.ResultsOf 204,930 participants (ages ≥18 months) 5,103 (2.5%) were reactive on T1. Serial testing of T1 reactive specimens with T2 or if needed by tiebreaker T3 identified 2958 (1.44%) persons as HIV-positive. Supplemental testing confirmed 2,800 (95%) as HIV-positive (HIV-1 = 2,767 [98.8%]; HIV-2 = 5 [0.2%]; dual infections = 22 [0.8%]). Concordance between T1 and T2 was 56.6% while PPV of the national algorithm was 94.5%.ConclusionsOur results show high discordant rates and poor PPV of the national algorithm with a false-positive rate of about 5.5% in the NAIIS survey. Considering our findings have major implications for HIV diagnosis in routine HIV testing services, additional evaluation of testing algorithm is warranted in Nigeria.