Literature DB >> 21091096

The assessment of metabolic syndrome in UK patients with HIV using two different definitions: CREATE 2 study.

Ali Elgalib1, Michael Aboud, Ranjababu Kulasegaram, Caroline Dimian, Alastair Duncan, Anthony S Wierzbicki, Barry S Peters.   

Abstract

OBJECTIVE: To determine the prevalence and clinical associations of the metabolic syndrome (M-IRS) in an HIV cohort. METHODS AND
DESIGN: Data was collected prospectively on demographics, anthropometry, HIV disease, drug regimens and cardiometabolic risk factors using a two-centre cross-sectional cohort study design. M-IRS was diagnosed by National Cholesterol Education Program (NCEP) and International Diabetes Federation (IDF) criteria.
RESULTS: The prevalence of M-IRS in 678 subjects was 14% by NCEP and 10% by IDF. One feature of the M-IRS was present in 68%, while 37% had two or more features. Increased waist circumference was found in 32% by NCEP or by IDF criteria, hypertriglyceridaemia in 32%, reduced HDL-C in 27%, 18% had raised systolic blood pressure and 13% had dysglycaemia. Protease inhibitor (PI) usage was similar in both M-IRS categories (43 vs. 38%; p = 0.38) but increased use of efavirenz was seen in M-IRS (47 vs. 36%; p = 0.07) and nevirapine in the non-M-IRS groups (10 vs. 20%; p = 0.05). Multiple drug therapies were associated with raised triglyceride levels while nevirapine therapy was associated with raised HDL-C and abacavir with dysglycaemia.
CONCLUSIONS: The prevalence of M-IRS in this HIV cohort was similar to the general population and independent of current or previous highly active antiretroviral therapy (HAART) or its duration. Given the relationship between individual drugs and features of M-IRS its significance must be interpreted in the light of probable accrual bias in prescribing. Prospective studies are required to ascertain the cardiometabolic risk factors to include in a prognostically useful HIV disease-specific definition of M-IRS.

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Year:  2010        PMID: 21091096     DOI: 10.1185/03007995.2010.537212

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  8 in total

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Journal:  Eur Endocrinol       Date:  2014-02-28

Review 2.  Hypertension Is a Key Feature of the Metabolic Syndrome in Subjects Aging with HIV.

Authors:  Raquel Martin-Iguacel; Eugènia Negredo; Robert Peck; Nina Friis-Møller
Journal:  Curr Hypertens Rep       Date:  2016-06       Impact factor: 5.369

3.  Exaggerated Acute Lung Injury and Impaired Antibacterial Defenses During Staphylococcus aureus Infection in Rats with the Metabolic Syndrome.

Authors:  Xiaomei Feng; Mervyn Maze; Lauren G Koch; Steven L Britton; Judith Hellman
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

4.  A cross-sectional randomised study of fracture risk in people with HIV infection in the probono 1 study.

Authors:  Barry S Peters; Melissa Perry; Anthony S Wierzbicki; Lisa E Wolber; Glen M Blake; Nishma Patel; Richard Hoile; Alastair Duncan; Ranjababu Kulasegaram; Frances M K Williams
Journal:  PLoS One       Date:  2013-10-29       Impact factor: 3.240

5.  [Prevalence, associated and predisposing factors of metabolic syndrome among people living with HIV on antiretroviral treatment in Porto Novo in 2014].

Authors:  Alassani Adébayo; Dovonou Comlan Albert; Sossou Ericie; Attinsounon Cossi Angelo; Gninkoun Jules; Wanvoegbe Armand; Ahoui Séraphin; Codjo Léopold; Ade Gabriel
Journal:  Pan Afr Med J       Date:  2015-11-24

6.  Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study.

Authors:  Alastair D Duncan; Louise M Goff; Barry S Peters
Journal:  PLoS One       Date:  2018-03-12       Impact factor: 3.240

7.  Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.

Authors:  Farzad Amirabdollahian; Fahimeh Haghighatdoost
Journal:  J Obes       Date:  2018-11-01

8.  A Meta-Analysis of the Metabolic Syndrome Prevalence in the Global HIV-Infected Population.

Authors:  Kim A Nguyen; Nasheeta Peer; Edward J Mills; Andre P Kengne
Journal:  PLoS One       Date:  2016-03-23       Impact factor: 3.240

  8 in total

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