Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients

Author(s)

Beraldo, Rebeca Antunes ^[1] ; Meliscki, Gabriela Cristina ^[1] ; Silva, Bruna Ramos ^[1] ; Navarro, Anderson Marliere ^[1] ; Bollela, Valdes Roberto ^[1] ; Schmidt, Andre ^[1] ; Foss-Freitas, Maria Cristina ^[1]

Affiliation

^[1] Univ Sao Paulo, Dept Internal Med, Ribeirao Preto Med Sch, Sao Paulo - Brazil

• Document type: Journal article
• Source: PLoS One; v. 11, n. 2 FEB 26 2016.
• Web of Science Citations: 6

Abstract

Background Highly active antiretroviral therapy (HAART) can cause side effects in HIV patients, as the metabolic syndrome. Early identification of risk for development of cardiovascular diseases using available reliable and practical methods is fundamental. On this basis, the aim of this study was to compare the effectiveness of anthropometric indicators to identify metabolic syndrome in HIV patients on HAART. Methods It is a cross-sectional study. A number of 280 stable HIV patients were studied. It measured weight, height, waist circumference (WC), hip circumference (HP), thigh circumference (TC) and calculated body mass index (BMI), body adiposity index (BAI), waist to hip ratio (WHR) and waist to thigh ratio (WTR). There was also a performance of biochemical tests of lipid profile and fasting glucose. Systemic blood pressure was measured. The criteria proposed by the National Cholesterol Education Program III (NCEP-ATP III) to metabolic syndrome classification was used. Individuals were divided in groups with or without metabolic alterations and their anthropometric indicators were compared. Receiver operating characteristic (ROC) curves were designed for each anthropometric indicator using the metabolic syndrome classification to identify sensitivity and specificity. Results WC was a good tool to identify each metabolic disorder separately: total cholesterol (only females, p<0.05), triglycerides (only males, p<0.001), HDL cholesterol (p<0.05), LDL cholesterol (p<005) and fasting glycemic (p<005). WC also showed the best performance to identify metabolic syndrome in both genders (areas under the curve (AUCs): 0.79 and 0.76 for male and female, respectively), while BAI proved to be an inadequate indicator (AUCs: 0.63 and 0.67 for males and females), respectively, in this population. Conclusions The central adiposity measure (WC) had the best performance to identify metabolic syndrome, and it is a convenient, cheap and reliable tool that can be used in clinical practice routinely to prevent cardiovascular complications in HIV patients. (AU)

• FAPESP's process: 13/23287-3 - Assessment and proposed cutoffs for adiposity indices to predict cardiovascular risk in HIV-infected patients on antiretroviral therapy
• Grantee: Rebeca Antunes Beraldo
• Support Opportunities: Scholarships in Brazil - Doctorate