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Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria

Objectives. We determined metabolic syndrome (MetS) prevalence and assessed the agreement between different diagnostic criteria in HIV-infected South Africans. Method. A random sample included 748 HIV-infected adult patients (79% women) across 17 HIV healthcare facilities in the Western Cape Provinc...

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Autores principales: Nguyen, Kim Anh, Peer, Nasheeta, de Villiers, Anniza, Mukasa, Barbara, Matsha, Tandi E., Mills, Edward J., Kengne, Andre Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368417/
https://www.ncbi.nlm.nih.gov/pubmed/28392801
http://dx.doi.org/10.1155/2017/1613657
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author Nguyen, Kim Anh
Peer, Nasheeta
de Villiers, Anniza
Mukasa, Barbara
Matsha, Tandi E.
Mills, Edward J.
Kengne, Andre Pascal
author_facet Nguyen, Kim Anh
Peer, Nasheeta
de Villiers, Anniza
Mukasa, Barbara
Matsha, Tandi E.
Mills, Edward J.
Kengne, Andre Pascal
author_sort Nguyen, Kim Anh
collection PubMed
description Objectives. We determined metabolic syndrome (MetS) prevalence and assessed the agreement between different diagnostic criteria in HIV-infected South Africans. Method. A random sample included 748 HIV-infected adult patients (79% women) across 17 HIV healthcare facilities in the Western Cape Province. MetS was defined using the Joint Interim Statement (JIS 2009), International Diabetes Federation (IDF 2005), and Adult Treatment Panel III (ATPIII 2005) criteria. Results. Median values were 38 years (age), 5 years (diagnosed HIV duration), and 392 cells/mm(3) (CD4 count), and 93% of the participants were on antiretroviral therapy (ART). MetS prevalence was 28.2% (95%CI: 25–31.4), 26.5% (23.3–29.6), and 24.1% (21–27.1) by the JIS, IDF, and ATPIII 2005 criteria, respectively. Prevalence was always higher in women than in men (all p < 0.001), in participants with longer duration of diagnosed HIV (all p ≤ 0.003), and in ART users not receiving 1st-line regimens (all p ≤ 0.039). The agreement among the three criteria was very good overall and in most subgroups (all kappa ≥ 0.81). Conclusions. The three most popular diagnostic criteria yielded similarly high MetS prevalence in this relatively young population receiving care for HIV infection. Very good levels of agreement between criteria are unaffected by some HIV-specific features highlighting the likely comparable diagnostic utility of those criteria in routine HIV care settings.
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spelling pubmed-53684172017-04-09 Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria Nguyen, Kim Anh Peer, Nasheeta de Villiers, Anniza Mukasa, Barbara Matsha, Tandi E. Mills, Edward J. Kengne, Andre Pascal Int J Endocrinol Research Article Objectives. We determined metabolic syndrome (MetS) prevalence and assessed the agreement between different diagnostic criteria in HIV-infected South Africans. Method. A random sample included 748 HIV-infected adult patients (79% women) across 17 HIV healthcare facilities in the Western Cape Province. MetS was defined using the Joint Interim Statement (JIS 2009), International Diabetes Federation (IDF 2005), and Adult Treatment Panel III (ATPIII 2005) criteria. Results. Median values were 38 years (age), 5 years (diagnosed HIV duration), and 392 cells/mm(3) (CD4 count), and 93% of the participants were on antiretroviral therapy (ART). MetS prevalence was 28.2% (95%CI: 25–31.4), 26.5% (23.3–29.6), and 24.1% (21–27.1) by the JIS, IDF, and ATPIII 2005 criteria, respectively. Prevalence was always higher in women than in men (all p < 0.001), in participants with longer duration of diagnosed HIV (all p ≤ 0.003), and in ART users not receiving 1st-line regimens (all p ≤ 0.039). The agreement among the three criteria was very good overall and in most subgroups (all kappa ≥ 0.81). Conclusions. The three most popular diagnostic criteria yielded similarly high MetS prevalence in this relatively young population receiving care for HIV infection. Very good levels of agreement between criteria are unaffected by some HIV-specific features highlighting the likely comparable diagnostic utility of those criteria in routine HIV care settings. Hindawi 2017 2017-03-14 /pmc/articles/PMC5368417/ /pubmed/28392801 http://dx.doi.org/10.1155/2017/1613657 Text en Copyright © 2017 Kim Anh Nguyen et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nguyen, Kim Anh
Peer, Nasheeta
de Villiers, Anniza
Mukasa, Barbara
Matsha, Tandi E.
Mills, Edward J.
Kengne, Andre Pascal
Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria
title Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria
title_full Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria
title_fullStr Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria
title_full_unstemmed Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria
title_short Metabolic Syndrome in People Living with Human Immunodeficiency Virus: An Assessment of the Prevalence and the Agreement between Diagnostic Criteria
title_sort metabolic syndrome in people living with human immunodeficiency virus: an assessment of the prevalence and the agreement between diagnostic criteria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368417/
https://www.ncbi.nlm.nih.gov/pubmed/28392801
http://dx.doi.org/10.1155/2017/1613657
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