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Global problems
P2-356 Independent predictors of metabolic syndrome in HIV-infected patients
  1. P R D Alencastro1,2,
  2. S C Fuchs2,3,
  3. M L R Ikeda1,2,
  4. F H Wolff3,4,
  5. A B M Brandão4,5,
  6. N T Barcellos3,4
  1. 1Hospital Sanatório Partenon, Health Secretariat of State of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
  2. 2Postgraduate Studies Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
  3. 3Postgraduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
  4. 44 National Institute for Science and Technology for Health Technology Assessment (IATS/CNPq), Hospital de Clinicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
  5. 5Faculdade de Medicina, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil

Abstract

Introduction Metabolic Syndrome (MetS) is associated with development of type 2 diabetes mellitus and increased risk for cardiovascular disease. However, a few studies have assessed its prevalence and risk factors among HIV patients from developing countries.

Objective To identify independent risk factors for metabolic syndrome by the criteria of the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) among men and women HIV-infected.

Study design A cross-sectional study enrolled patients, aged 18 years or older, who sought to confirm the diagnosis or treatment in the outpatient service of a public healthcare center, in southern Brazil. From June 2006 to December 2008, certified research assistants conducted interviews using standardised questionnaires and anthropometric measurements. Fasting blood sample was collected, use of highly active antiretroviral therapy (HAART) was ascertained, and Metabolic Syndrome was characterised by the criteria of AHA/NHLBI.

Results 1240, out of 1295 HIV-infected patients were included. MetS prevalence was 24.7%, and similar among men and women. Among men, age, education, physical activity, body mass index (BMI) and HAART use were independently associated with MetS, while among women, there were associations with age, BMI, and use of protease inhibitors.

Conclusions High prevalence of metabolic syndrome was detected in men and women HIV-infected. In both genders, age and BMI were directly and independently associated with MetS. The association between the use of HAART and MetS was confirmed among men but not among women.

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