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HIV-2 Infection: Where Are We Today?
CONTEXT: The choice of antiretroviral therapy for HIV-2 differs from that for HIV-1, underscoring the importance of differentiating between the two. AIMS: The current study was planned to find out the prevalence of HIV-2 infection at our center and to find out the utility of the current diagnostic a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766332/ https://www.ncbi.nlm.nih.gov/pubmed/24049365 http://dx.doi.org/10.4103/0974-777X.116872 |
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author | Ingole, Nayana A. Sarkate, Purva P. Paranjpe, Supriya M. Shinde, Sameer D. Lall, Sujata S. Mehta, Preeti R. |
author_facet | Ingole, Nayana A. Sarkate, Purva P. Paranjpe, Supriya M. Shinde, Sameer D. Lall, Sujata S. Mehta, Preeti R. |
author_sort | Ingole, Nayana A. |
collection | PubMed |
description | CONTEXT: The choice of antiretroviral therapy for HIV-2 differs from that for HIV-1, underscoring the importance of differentiating between the two. AIMS: The current study was planned to find out the prevalence of HIV-2 infection at our center and to find out the utility of the current diagnostic algorithm in identifying the type of HIV infection. SETTING AND DESIGN: Retrospective analysis in a tertiary care teaching institute over a period of three years. MATERIALS AND METHODS: All patients diagnosed as HIV infected using NACO/WHO HIV testing strategy III were included in the study. They were classified as HIV-1 infected, HIV-2 infected and HIV-1 and HIV-2 co-infected based on their test results. For discordant samples, immunoblotting result from National Reference Laboratory was considered as final. STATISTICAL ANALYSIS USED: Comparison between HIV-1, HIV-2 and HIV-1+2 positive groups for age, gender, route of transmission was made using chi squared test. P value < 0.05 was considered as significant. RESULTS: Of the total of 66,708 patients tested, 5,238 (7.9%) were positive for HIV antibodies. 7.62%, 0.14%, 0.08% and 0.004% were HIV-1, HIV-2, HIV-1 and HIV-2 co-infected and HIV type indeterminate (HIV-1 Indeterminate, 2+) respectively. The current algorithm could not differentiate between the types of HIV infection (as HIV-1 or HIV-2) in 63 (1.2%) cases. CONCLUSION: In areas like the Indian subcontinent, where epidemic of both HIV-1 and HIV-2 infections are ongoing, it is important to modify the current diagnostic algorithms to diagnose and confirm HIV-2 infections. |
format | Online Article Text |
id | pubmed-3766332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-37663322013-09-18 HIV-2 Infection: Where Are We Today? Ingole, Nayana A. Sarkate, Purva P. Paranjpe, Supriya M. Shinde, Sameer D. Lall, Sujata S. Mehta, Preeti R. J Glob Infect Dis Original Article CONTEXT: The choice of antiretroviral therapy for HIV-2 differs from that for HIV-1, underscoring the importance of differentiating between the two. AIMS: The current study was planned to find out the prevalence of HIV-2 infection at our center and to find out the utility of the current diagnostic algorithm in identifying the type of HIV infection. SETTING AND DESIGN: Retrospective analysis in a tertiary care teaching institute over a period of three years. MATERIALS AND METHODS: All patients diagnosed as HIV infected using NACO/WHO HIV testing strategy III were included in the study. They were classified as HIV-1 infected, HIV-2 infected and HIV-1 and HIV-2 co-infected based on their test results. For discordant samples, immunoblotting result from National Reference Laboratory was considered as final. STATISTICAL ANALYSIS USED: Comparison between HIV-1, HIV-2 and HIV-1+2 positive groups for age, gender, route of transmission was made using chi squared test. P value < 0.05 was considered as significant. RESULTS: Of the total of 66,708 patients tested, 5,238 (7.9%) were positive for HIV antibodies. 7.62%, 0.14%, 0.08% and 0.004% were HIV-1, HIV-2, HIV-1 and HIV-2 co-infected and HIV type indeterminate (HIV-1 Indeterminate, 2+) respectively. The current algorithm could not differentiate between the types of HIV infection (as HIV-1 or HIV-2) in 63 (1.2%) cases. CONCLUSION: In areas like the Indian subcontinent, where epidemic of both HIV-1 and HIV-2 infections are ongoing, it is important to modify the current diagnostic algorithms to diagnose and confirm HIV-2 infections. Medknow Publications & Media Pvt Ltd 2013 /pmc/articles/PMC3766332/ /pubmed/24049365 http://dx.doi.org/10.4103/0974-777X.116872 Text en Copyright: © Journal of Global Infectious Diseases http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Ingole, Nayana A. Sarkate, Purva P. Paranjpe, Supriya M. Shinde, Sameer D. Lall, Sujata S. Mehta, Preeti R. HIV-2 Infection: Where Are We Today? |
title | HIV-2 Infection: Where Are We Today? |
title_full | HIV-2 Infection: Where Are We Today? |
title_fullStr | HIV-2 Infection: Where Are We Today? |
title_full_unstemmed | HIV-2 Infection: Where Are We Today? |
title_short | HIV-2 Infection: Where Are We Today? |
title_sort | hiv-2 infection: where are we today? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766332/ https://www.ncbi.nlm.nih.gov/pubmed/24049365 http://dx.doi.org/10.4103/0974-777X.116872 |
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