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

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...

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Autores principales: Patel, Hetal K., Ikpe, Sunday, Bronson, Megan, Birhanu, Sehin, Abimiku, Alash’le, Jahun, Ibrahim, Detorio, Mervi, Lupoli, Kathryn, Yavo, Daniel, Bassey, Orji O., Jelpe, Tapdiyel D., Kagurusi, Brian, Iriemenam, Nnaemeka C., Patel, Divya, Okoye, McPaul I., Dalhatu, Ibrahim T., Ohakanu, Stephen, Voetsch, Andrew C., Aliyu, Sani, Ashefor, Gregory, Gambo, Aliyu, Ikwulono, Gabriel O., Nzelu, Charles, Adewole, Isaac F., Swaminathan, Mahesh, Parekh, Bharat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021238/
https://www.ncbi.nlm.nih.gov/pubmed/36962526
http://dx.doi.org/10.1371/journal.pgph.0000466
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author Patel, Hetal K.
Ikpe, Sunday
Bronson, Megan
Birhanu, Sehin
Abimiku, Alash’le
Jahun, Ibrahim
Detorio, Mervi
Lupoli, Kathryn
Yavo, Daniel
Bassey, Orji O.
Jelpe, Tapdiyel D.
Kagurusi, Brian
Iriemenam, Nnaemeka C.
Patel, Divya
Okoye, McPaul I.
Dalhatu, Ibrahim T.
Ohakanu, Stephen
Voetsch, Andrew C.
Aliyu, Sani
Ashefor, Gregory
Gambo, Aliyu
Ikwulono, Gabriel O.
Nzelu, Charles
Adewole, Isaac F.
Swaminathan, Mahesh
Parekh, Bharat
author_facet Patel, Hetal K.
Ikpe, Sunday
Bronson, Megan
Birhanu, Sehin
Abimiku, Alash’le
Jahun, Ibrahim
Detorio, Mervi
Lupoli, Kathryn
Yavo, Daniel
Bassey, Orji O.
Jelpe, Tapdiyel D.
Kagurusi, Brian
Iriemenam, Nnaemeka C.
Patel, Divya
Okoye, McPaul I.
Dalhatu, Ibrahim T.
Ohakanu, Stephen
Voetsch, Andrew C.
Aliyu, Sani
Ashefor, Gregory
Gambo, Aliyu
Ikwulono, Gabriel O.
Nzelu, Charles
Adewole, Isaac F.
Swaminathan, Mahesh
Parekh, Bharat
author_sort Patel, Hetal K.
collection PubMed
description 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.
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spelling pubmed-100212382023-03-17 Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) Patel, Hetal K. Ikpe, Sunday Bronson, Megan Birhanu, Sehin Abimiku, Alash’le Jahun, Ibrahim Detorio, Mervi Lupoli, Kathryn Yavo, Daniel Bassey, Orji O. Jelpe, Tapdiyel D. Kagurusi, Brian Iriemenam, Nnaemeka C. Patel, Divya Okoye, McPaul I. Dalhatu, Ibrahim T. Ohakanu, Stephen Voetsch, Andrew C. Aliyu, Sani Ashefor, Gregory Gambo, Aliyu Ikwulono, Gabriel O. Nzelu, Charles Adewole, Isaac F. Swaminathan, Mahesh Parekh, Bharat PLOS Glob Public Health Research Article 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. Public Library of Science 2022-07-29 /pmc/articles/PMC10021238/ /pubmed/36962526 http://dx.doi.org/10.1371/journal.pgph.0000466 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Patel, Hetal K.
Ikpe, Sunday
Bronson, Megan
Birhanu, Sehin
Abimiku, Alash’le
Jahun, Ibrahim
Detorio, Mervi
Lupoli, Kathryn
Yavo, Daniel
Bassey, Orji O.
Jelpe, Tapdiyel D.
Kagurusi, Brian
Iriemenam, Nnaemeka C.
Patel, Divya
Okoye, McPaul I.
Dalhatu, Ibrahim T.
Ohakanu, Stephen
Voetsch, Andrew C.
Aliyu, Sani
Ashefor, Gregory
Gambo, Aliyu
Ikwulono, Gabriel O.
Nzelu, Charles
Adewole, Isaac F.
Swaminathan, Mahesh
Parekh, Bharat
Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS)
title Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS)
title_full Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS)
title_fullStr Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS)
title_full_unstemmed Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS)
title_short Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS)
title_sort performance of hiv rapid testing algorithm in nigeria: findings from a household-based nigeria hiv/aids indicator and impact survey (naiis)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021238/
https://www.ncbi.nlm.nih.gov/pubmed/36962526
http://dx.doi.org/10.1371/journal.pgph.0000466
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