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  • SP4-37 Metabolic syndrome prevalence and population attributable risk among HIV/AIDS patients: comparisons between NCEP-ATPIII, IDF and AHA/NHLBI criteria

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Global health
SP4-37 Metabolic syndrome prevalence and population attributable risk among HIV/AIDS patients: comparisons between NCEP-ATPIII, IDF and AHA/NHLBI criteria
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  1. P R de Alencastro1,2,
  2. S C Fuchs3,4,
  3. R R de Oliveira2,
  4. F H Holff3,4,
  5. M L R Ikeda2,
  6. A B M Brandão3,5,
  7. N T Barcellos3,4
  1. 1Postgraduate Studies Program in Medical Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre-RS, Brazil
  2. 2Hospital Sanatório Partenon, Health Secretariat of State of Rio Grande do Sul, Porto Alegre-RS, Brazil
  3. 3National Institute for Science and Technology for Health Technology Assessment (IATS/CNPq), Hospital de Clinicas de Porto Alegre, Porto Alegre-RS, Brazil
  4. 4Postgraduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre-RS, Brazil
  5. 5Faculdade de Medicina, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre-RS, Brazil

Abstract

Background Metabolic syndrome comprises a set of aggregated risk factors, which increase the risk of cardiovascular disease and type 2 diabetes mellitus, and changes in the abnormality criteria account for differences in prevalence rates and in the population attributable risk.

Objectives Verify the prevalence of metabolic syndrome according to the NCEP-ATPIII, IDF and the AHA/NHLBI, and the impact of each component on the diagnostic of metabolic syndrome among HIV-infected adults. We also estimated the HIV-infected population with metabolic syndrome by Brazilian regions.

Methods This cross-sectional study enrolled HIV infected patients from a HIV/AIDS reference Center in southern Brazil. Metabolic syndrome was identified according to the NCEP-ATPIII, IDF and AHA/NHLBI criteria, using standardised questionnaire and blood testing.

Results A sample of 1240, out of 1295, HIV-infected patients was enrolled. Males were on average older, more educated, and had shorter time since the HIV diagnosis. The population attributable risk (PAR) for waist circumference explained 80% of the prevalence among men and women (AHA/NHLBI criteria). Triglycerides had the highest impact on prevalence of metabolic syndrome according to all criteria, independently of age, skin colour and HAART use, among men. The southern and south regions of Brazil had the highest population of subjects HIV-infected with metabolic syndrome.

Conclusions In this large sample of HIV infected patients, the overall prevalence of metabolic syndrome, under either classification, was noticeable and the AHA/NHLBI definition accounted for the highest prevalence. The largest population HIV-infected with metabolic syndrome is concentrated in the southern and south of Brazil.

https://doi.org/10.1136/jech.2011.142976p.31

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