Literature DB >> 33619853

Estimating HIV incidence in the Akwa Ibom AIDS indicator survey (AKAIS), Nigeria using the limiting antigen avidity recency assay.

Olubunmi R Negedu-Momoh1,2, Oluseyi Balogun1, Ibrahim Dafa1, Akan Etuk3, Edward Adekola Oladele4, Oluwasanmi Adedokun5, Ezekiel James6, Satish R Pandey7, Hadiza Khamofu4, Titi Badru5, Janet Robinson8, Timothy D Mastro9, Kwasi Torpey10.   

Abstract

INTRODUCTION: HIV incidence estimates are important to characterize the status of an epidemic, identify locations and populations at high risk and to guide and evaluate HIV prevention interventions. We used the limiting antigen avidity assay (LAg) as part of a recent infection testing algorithm to estimate HIV incidence in the Akwa Ibom AIDS Indicator Survey (AKAIS), Nigeria.
METHODS: In 2017, AKAIS, a cross-sectional population-based study was conducted at the household (HH) level in 31 local government areas (LGAs) of Akwa Ibom state. Of the 8963 participants aged ≥15 years who were administered questionnaires for demographic and behavioural data, 8306 consented to HIV rapid testing. Whole-blood specimens were collected from 394 preliminary HIV-seropositive individuals for CD4+ cell count determination and plasma storage. Samples were shipped to a central quality laboratory for HIV confirmatory testing and viral load determination. A total of 370 HIV-positive specimens were tested for the recent HIV infection using the LAg assay.
RESULTS: Of the 8306 consenting adults, the HIV prevalence was 4.8%. Of the 370 HIV-positive samples tested for HIV recency, the median age was 35 years, 48.8% had CD4+ cell count >500/mm3 and 81.3% was not virally suppressed. Viral suppression was greater among females (21%) than for males (13%). A total of 11 specimens were classified as recent based on the LAg assay and HIV viral load ≥1000 copies/mL. The weighted, adjusted HIV-1 incidence was 0.41/100 person-years (95% CI 0.16 to 0.66); translating to 13,000 new cases of HIV infections annually in Akwa Ibom, a state with a population of 5.5 million. The HIV incidence rate was similar in females and males (0.41% and 0.42% respectively). The incidence rate was the highest among participants aged 15 to 49 years (0.44%, 95% CI 0.15 to 0.74) translating to 11,000 new infections annually, about 85% of all new infections in the state.
CONCLUSIONS: The finding of the high HIV incidence among the 15 to 49-year age group calls for renewed and innovative efforts to prevent HIV infection among young adults in Akwa Ibom state.
© 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

Entities:  

Keywords:  HIV-1; Nigeria; incidence; limiting antigen avidity; recent infection; viral load

Year:  2021        PMID: 33619853      PMCID: PMC7900440          DOI: 10.1002/jia2.25669

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


  21 in total

1.  Short Communication: False Recent Ratio of the Limiting-Antigen Avidity Assay and Viral Load Testing Algorithm Among Cameroonians with Long-Term HIV Infection.

Authors:  Briana A Lynch; Eshan U Patel; Colleen R Courtney; Aubin J Nanfack; Jude Bimela; Xiaohong Wang; Issa Eid; Thomas C Quinn; Oliver Laeyendecker; Phillipe N Nyambi; Ralf Duerr; Andrew D Redd
Journal:  AIDS Res Hum Retroviruses       Date:  2017-08-07       Impact factor: 2.205

2.  Measuring the HIV/AIDS epidemic: approaches and challenges.

Authors:  Ron Brookmeyer
Journal:  Epidemiol Rev       Date:  2010-03-04       Impact factor: 6.222

Review 3.  Young people: the centre of the HIV epidemic.

Authors:  Roeland Monasch; Mary Mahy
Journal:  World Health Organ Tech Rep Ser       Date:  2006

4.  Detection of recent HIV-1 infection using a new limiting-antigen avidity assay: potential for HIV-1 incidence estimates and avidity maturation studies.

Authors:  Yen T Duong; Maofeng Qiu; Anindya K De; Keisha Jackson; Trudy Dobbs; Andrea A Kim; John N Nkengasong; Bharat S Parekh
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

5.  Akwa Ibom AIDS indicator survey: Key findings and lessons learnt.

Authors:  Oluwasanmi Adedokun; Titilope Badru; Hadiza Khamofu; Olubunmi Ruth Negedu-Momoh; Emem Iwara; Chinedu Agbakwuru; Akinyemi Atobatele; Mike Merrigan; Dominic Ukpong; Charles Nzelu; Gregory Ashefor; Satish Raj Pandey; Kwasi Torpey
Journal:  PLoS One       Date:  2020-06-17       Impact factor: 3.240

6.  HIV risk perception and constraints to protective behaviour among young slum dwellers in Ibadan, Nigeria.

Authors:  Adebola A Adedimeji; Femi O Omololu; Oluwole Odutolu
Journal:  J Health Popul Nutr       Date:  2007-06       Impact factor: 2.000

7.  Evaluation of a multiplex assay for estimation of HIV-1 incidence.

Authors:  Kelly A Curtis; Debra L Hanson; M Susan Kennedy; S Michele Owen
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

8.  A general HIV incidence inference scheme based on likelihood of individual level data and a population renewal equation.

Authors:  Guy Severin Mahiane; Rachid Ouifki; Hilmarie Brand; Wim Delva; Alex Welte
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

9.  HIV incidence in a cohort of women at higher risk in Beira, Mozambique: prospective study 2009-2012.

Authors:  Karine Dubé; Arlinda Zango; Janneke van de Wijgert; Ivete Meque; Josefo J Ferro; Fidelina Cumbe; Pai Lien Chen; Sabrina Ma; Erik Jolles; Afonso Fumo; Merlin L Robb; Paul J Feldblum
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

10.  Cross-sectional estimates revealed high HIV incidence in Botswana rural communities in the era of successful ART scale-up in 2013-2015.

Authors:  Sikhulile Moyo; Simani Gaseitsiwe; Terence Mohammed; Molly Pretorius Holme; Rui Wang; Kenanao Peggy Kotokwe; Corretah Boleo; Lucy Mupfumi; Etienne Kadima Yankinda; Unoda Chakalisa; Erik van Widenfelt; Tendani Gaolathe; Mompati O Mmalane; Scott Dryden-Peterson; Madisa Mine; Refeletswe Lebelonyane; Kara Bennett; Jean Leidner; Kathleen E Wirth; Eric Tchetgen Tchetgen; Kathleen Powis; Janet Moore; William A Clarke; Shahin Lockman; Joseph M Makhema; Max Essex; Vlad Novitsky
Journal:  PLoS One       Date:  2018-10-24       Impact factor: 3.240

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  2 in total

1.  Statistical considerations for cross-sectional HIV incidence estimation based on recency test.

Authors:  Fei Gao; Marlena Bannick
Journal:  Stat Med       Date:  2022-01-04       Impact factor: 2.373

Review 2.  Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review.

Authors:  Shelley N Facente; Eduard Grebe; Andrew D Maher; Douglas Fox; Susan Scheer; Mary Mahy; Shona Dalal; David Lowrance; Kimberly Marsh
Journal:  JMIR Public Health Surveill       Date:  2022-03-11
  2 in total

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