Sagittal Abdominal Diameter as the Best Predictor of Metabolic Syndrome in HIV-Infected Men on Antiretroviral Therapy.

BACKGROUND: The interaction of human immunodeficiency virus (HIV), host and antiretroviral therapy causes a range of metabolic disorders that can be characterized as a metabolic syndrome (MetS) that increases the cardiovascular risk. MetS involves central obesity, which can be detected using different anthropometric parameters. OBJECTIVE: To assess the abilities of different anthropometric parameters in the prediction of MetS in HIV-infected men on ART. METHOD: The study involved 92 male participants (mean age 44.46±10.38 years), divided into two groups: with and without MetS. All subjects underwent biochemical evaluation (triglycerides, HDL-cholesterol, fasting glucose), blood pressure measurement and anthropometric assessment: body mass, body height, body mass index (BMI), body fat mass, body circumferences (chest, upper arm, forearm, waist, hip, proximal and middle thigh and calf), sagittal abdominal diameter (SAD), skinfold thicknesses (subscapular, anterior and posterior upper arm, anterior and lateral forearm, abdominal, supraspinal, thigh and calf), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist-to-thigh ratio (WTR), sagittal abdominal diameter-to-body height ratio (SADH), body adiposity index (BAI) and conicity index. MetS was specified according to IDF criteria. RESULTS: Subjects with MetS had statistically significant higher values of all anthropometric parameters except middle thigh circumference, calf skinfold and body height. According to ROC analysis and Binary Logistic Regression, SAD has been shown as the best predictor of MetS with a predictive value of 21.40 cm (AUC:0.91), followed by WHR with a predictive value of 0.93. CONCLUSION: Sagittal abdominal diameter is the strongest anthropometric indicator of MetS in HIV-infected patients on ART.

Relation of Steatosis to Neurocognitive Function in People Living with HIV.

BACKGROUND: In HIV negative population metabolic syndrome and steatosis are related to poorer neurocognitive (NC) performance. We investigated if similar relation exists in people living with HIV (PLWH). METHODS: We included male PLWH aged 20-65, with undetectable viral load for at least 6 months. Data on levels of education, anthropometric measurements, CD4 levels, ART, markers of metabolic syndrome, smoking and concurrent treatment were collected from database. Concentrations of TNF-α and IL-6 were measured. An ultrasound was used to establish the presence of steatosis, visceral fat thickness and carotid intima media thickness. An extensive NC assessment was done by an experienced neuropsychologist. Cognitive domains were defined as executive functions, divergent reasoning, visuo-constructional abilities, delayed recall and working memory and learning and were measured using a battery of 12 tests. RESULTS: 88 PLWH were included (mean age 39,9 years), 51% on PIs, 46% on NNRTI; 20,4% had metabolic syndrome, 42% patients had steatosis. Weak but statistically significant negative correlations were found between the presence of metabolic syndrome, steatosis and VFT and cognitive domains (divergent reasoning, delayed recall and working memory). Poorer perfomrance in the domains of divergent reasoning and in the working memory were found in participants with steatosis (p=0,048 and 0,033 respectively). CONCLUSION: Although the sample size was relatively small, our results show consistent correlations between the observed neurocognitive variables and metabolic parameters. As central obesity is one of the contributors to NCI, it would be one of the modifiable factors to prevent further neurocognitive decline.

Associations of visceral fat thickness and anthropometric measurements with non-alcoholic fatty liver disease development in male patients mono-infected with human immunodeficiency virus.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) represents the most common form of chronic liver disease in mono-infected (without concomitant hepatitis B and/or C virus infection) people living with human immunodeficiency virus (HIV). The proper and on time identification of at-risk HIV-positive individuals would be relevant in order to reduce the rate of progression from NAFLD into non-alcoholic steatohepatitis (NASH), cirrhosis and hepatocellular carcinoma. OBJECTIVES: The aim of this study was to explore visceral fat thickness (VFT) and anthropometric measurements associated with the development of NAFLD in patients mono-infected with HIV and on long-standing combination antiretroviral therapy (cART). METHOD: Eighty-eight (n = 88) HIV-positive male patients, average age 39.94 ± 9.91 years, and stable on cART, were included in this prospective study. VFT was measured using ultrasonography. Anthropometric measurements included body mass index (BMI), waist-to-hip ratio (W/H), waist-to-height ratio (WHtR), waist and hip circumference (WC, HC). Differences between variables were determined using the chi-square test. The receiver operating characteristic (ROC) curve and the Youden index were used to determine optimal cut-off values of VFT and hepatic steatosis. The area under the curve (AUC), 95% confidence intervals, sensitivity and specificity are reported for the complete sample. Significance was set at p < 0.05. RESULTS: Patients with steatosis had significantly higher values of BMI, HC, WC, W/H and WHtR. The VFT was higher in patients with steatosis (p < 0.001). Specifically, VFT values above 31.98 mm and age > 38.5 years correlated with steatosis in HIV-positive patients, namely sensitivity 89%, specificity 72%, AUC 0.84 (95% CI, 0.76-0.93, p < 0.001), with the highest Youden index = 0.61. The sensitivity of the age determinant above this cut-off point was 84%, specificity 73% and AUC 0.83 (95% CI, 0.75-0.92, p < 0.001), with the highest Youden index of 0.57. CONCLUSION: In the absence of more advanced radiographic and histological tools, simple anthropometric measurements and VFT could assist in the early identification of persons at risk of hepatic steatosis in low- and middle-income regions.