PREVALENCE OF METABOLIC SYNDROME COMPONENTS AND PREDICTORS AMONG HUMAN IMMUNODEFICIENCY VIRUS POSITIVE HIGHLY ACTIVE ANTIRETROVIRAL THERAPY NAÏVE PATIENTS

*Bello Aminu, Anaja Peter O., Rasheed Yusuf, Abdul Rahman Muhammad Bashir, Abubakar Abdullahi Fakku and Umar Aminu Abdullahi

ABSTRACT

Background: The current study aims to determine the prevalence of metabolic syndrome (MetS) components and their predictors among HIV seropositive Highly Active Antiretroviral therapy (HAART) Naïve patients and controls in Sokoto. Materials and Method: Fasting blood glucose, lipid profile anthropometric parameters as well as urine creatinine, micro-albumin and blood pressure were measured in 86 HIV positive HAART naïve patients aged 18years and above and 86 HIV negative age and sex-matched controls. The receiver operating characteristic (ROC) curve was deployed to calculate the cut-off value for the predictor of MetS, Spearman correlation was used to determine the association between the development of MetS and its predictors. Results: Among 86 HIV Seropositive patients 15(17.4%) had MetS of which 14(16.3%) fulfils the NCEP ATP III Criteria and 11(12.8%) fulfils the IDF criteria and 10(11.6%) satisfied both NCEP ATP III and IDF criteria. There are more women with MetS 11(12.8%) than men 4(4.7%). When compared to healthy controls, 16(18.6%) were confirmed with MetS, of which 9(10%) and 12(13.9%) fulfil the NCEP ATP III and IDF criteria respectively. Male constitute 5(5.8%) and female make up to 11(12.8%) respectively. There is a static significant difference in anthropometric parameters and systolic blood pressure between MetS and non-MetS groups (p<0.0001) but not diastolic blood pressure and also between male and female patients, increase TG (p<0.001) decrease HDL (p=0.002) with no significant difference in FBG. Urinary creatinine and albumin creatinine ratio positively correlate the development of MetS in case but not in controls (p= 0.017, p= 0.016) and (p=0.467,p=0.288)respectively. Conclusion: The prevalence of MetS was higher among controls than the HAART naïve patients, Female Gender, and advanced age were found to be significantly associated with MetS. Anthropometric parameters and Systolic Blood Pressure were better predictors of MetS than lipid profile parameters and FBG.

Keywords: Metabolic Syndrome, Predictors, Prevalence, HIV, HAART, Naïve.