Metabolic syndrome and population attributable risk among HIV/AIDS patients: comparison between NCEP-ATPIII, IDF and AHA/NHLBI definitions
1 Hospital Sanatório Partenon, Health Secretariat of State of Rio Grande do Sul, Av. Bento Goncalves, 3722, Porto Alegre, RS, CEP: 90650-001, Brazil
2 National Institute for Science and Technology for Health Technology Assessment (IATS/CNPq), Hospital de Clínicas de Porto Alegre. R. Ramiro Barcelos 2350, Centro de Pesquisas, Cardiolab-Hipertensão, Porto Alegre, RS, CEP 90035-003, Brazil
3 Postgraduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600, Porto Alegre, RS, CEP 90035-003, Brazil
4 Postgraduate Studies Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos 2600, Porto Alegre, RS, CEP 90035-003, Brazil
5 Centro de Pesquisa Clínica Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Ramiro Barcellos, 2350, 5° andar 90.035-000, Porto Alegre, RS, Brazil
AIDS Research and Therapy 2012, 9:29 doi:10.1186/1742-6405-9-29Published: 4 October 2012
Metabolic Syndrome (MetS) is based on the same individual components, but has received several amendments to the original definition. In this study, we verified the prevalence of metabolic syndrome according to different criteria, and the impact of each component on the diagnostic.
This cross-sectional study enrolled HIV infected patients from a HIV/AIDS reference Center in southern Brazil. Metabolic syndrome was identified according to the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (NCEP-ATPIII), the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung and Blood Institute (AHA/NHLBI) criteria, and using a standardized questionnaire and blood testing.
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 color and HAART use, among men.
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.