Author
Listed:
- 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
Abstract
Background: The 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. Methods: The 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. Results: Of 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%. Conclusions: Our 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.
Suggested Citation
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 & Nnae, 2022.
"Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS),"
PLOS Global Public Health, Public Library of Science, vol. 2(7), pages 1-6, July.
Handle:
RePEc:plo:pgph00:0000466
DOI: 10.1371/journal.pgph.0000466
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