Literature DB >> 33413197

Serological diagnosis and prevalence of HIV-1 infection in Russian metropolitan areas.

D E Kireev1, V P Chulanov2,3, G A Shipulin4, A V Semenov5,6, E V Tivanova2, N M Kolyasnikova2, E B Zueva5, V V Pokrovskiy2, C Galli7.   

Abstract

BACKGROUND: HIV infection is a major health problem in Russia. We aimed to assess HIV prevalence in different population groups and to compare the characteristics of 4th generation immunoassays from Abbott, Bio-Rad, Vector-Best, Diagnostic Systems, and Medical Biological Unit.
METHODS: The study included 4452 individuals from the general population (GP), 391 subjects at high risk of HIV infection (HR) and 699 with potentially interfering conditions. HIV positivity was confirmed by immunoblot and by HIV RNA, seroconversion and virus diversity panels were also used. HIV avidity was employed to assess recent infections.
RESULTS: The prevalence in GP was 0.40%, higher in males (0.62%) and in people aged < 40 years (0.58%). Patients attending dermo-venereal centers and drug users had a high prevalence (34.1 and 58.8%). Recent infections were diagnosed in 20% of GP and in 4.2% of HR. Assay sensitivity was 100% except for one false negative (99,54%, MBU). Specificity was 99.58-99.89% overall, but as low as 93.26% on HR (Vector-Best). Small differences on early seroconversion were recorded. Only the Abbott assay detected all samples on the viral diversity panel.
CONCLUSION: HIV infection rate in the high-risk groups suggests that awareness and screening campaigns should be enhanced. Fourth generation assays are adequate but performance differences must be considered.

Entities:  

Keywords:  4th generation HIV immunoassays; Assay performance; Epidemiology; HIV infection; High risk groups; Recent infections

Mesh:

Year:  2021        PMID: 33413197      PMCID: PMC7791727          DOI: 10.1186/s12879-020-05695-z

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


  18 in total

Review 1.  HIV Diagnostics: Current Recommendations and Opportunities for Improvement.

Authors:  Bernard M Branson
Journal:  Infect Dis Clin North Am       Date:  2019-06-22       Impact factor: 5.982

2.  Sample size calculations for diagnostic studies.

Authors:  M M G Leeflang; F Allerberger
Journal:  Clin Microbiol Infect       Date:  2019-04-12       Impact factor: 8.067

Review 3.  Implications of HIV diversity for the HIV-1 pandemic.

Authors:  Joris Hemelaar
Journal:  J Infect       Date:  2012-10-26       Impact factor: 6.072

4.  [Molecular epidemiological analysis of HIV-1 variants circulating in Russia in 1987-2015].

Authors:  I A Lapovok; A E Lopatukhin; D E Kireev; E V Kazennova; A V Lebedev; M R Bobkova; A N Kolomeets; G I Turbina; G A Shipulin; N N Ladnaya; V V Pokrovsky
Journal:  Ter Arkh       Date:  2017       Impact factor: 0.467

5.  Comparative evaluation of three FDA-approved HIV Ag/Ab combination tests using a genetically diverse HIV panel and diagnostic specimens.

Authors:  Xiaoxing Qiu; Lori Sokoll; Paul Yip; Debra J Elliott; Renu Dua; Phaedre Mohr; Xiao Yan Wang; Megan Spencer; Priscilla Swanson; George J Dawson; John Hackett
Journal:  J Clin Virol       Date:  2017-05-13       Impact factor: 3.168

6.  Epidemiological changes of acute/recent human immunodeficiency virus type 1 infection in Barcelona, Spain (1997-2015): a prospective cohort study.

Authors:  D Nicolás; J Ambrosioni; E de Lazzari; A Suarez; C Manzardo; F Agüero; M M Mosquera; J Costa; C Ligero; M Á Marcos; S Sánchez-Palomino; E Fernández; M Plana; S Yerly; J M Gatell; J M Miró
Journal:  Clin Microbiol Infect       Date:  2018-11-22       Impact factor: 8.067

7.  Avidity Index for anti-HIV antibodies: comparison between third- and fourth-generation automated immunoassays.

Authors:  Barbara Suligoi; Anna Rodella; Mariangela Raimondo; Vincenza Regine; Luigina Terlenghi; Nino Manca; Salvatore Casari; Laura Camoni; Maria Cristina Salfa; Claudio Galli
Journal:  J Clin Microbiol       Date:  2011-05-04       Impact factor: 5.948

8.  Viral load criteria and threshold optimization to improve HIV incidence assay characteristics.

Authors:  Reshma Kassanjee; Christopher D Pilcher; Michael P Busch; Gary Murphy; Shelley N Facente; Sheila M Keating; Elaine Mckinney; Kara Marson; Matthew A Price; Jeffrey N Martin; Susan J Little; Frederick M Hecht; Esper G Kallas; Alex Welte
Journal:  AIDS       Date:  2016-09-24       Impact factor: 4.177

9.  Dynamics of HIV viremia and antibody seroconversion in plasma donors: implications for diagnosis and staging of primary HIV infection.

Authors:  Eberhard W Fiebig; David J Wright; Bhupat D Rawal; Patricia E Garrett; Richard T Schumacher; Lorraine Peddada; Charles Heldebrant; Richard Smith; Andrew Conrad; Steven H Kleinman; Michael P Busch
Journal:  AIDS       Date:  2003-09-05       Impact factor: 4.177

10.  Estimating the distribution of the window period for recent HIV infections: a comparison of statistical methods.

Authors:  Michael J Sweeting; Daniela De Angelis; John Parry; Barbara Suligoi
Journal:  Stat Med       Date:  2010-12-30       Impact factor: 2.373

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