Prediction of Cardiovascular Risk Comparing Algorithmic Models and Cardiac Risk Factors in Plwha on Art With Overwiegth/ Obesity

Objective: The aim of this study was in seropositive subjects from Northern Mexico undergoing cART. Methods: This study included 186 PLWH under cART. The variables analyzed were CD4+ count, viral load, lipid profile, glucose, insulin resistance, anthropometric measures, family history of hypertension and cardiovascular disease, years of treatment and cART scheme. In this study, we used two well-established algorithmic models D:A:D (5-year period) and Framingham (10-year period) for assessing cardiovascular risk. Results: In our study, 51.3% of the PLWH had arterial hypertension; most of the subjects were diagnosed with overweight, hypertriglyceridemia and metabolic syndrome, which are factors that increase the risk of cardiovascular disease. After the assessment with the Framingham model, risk was considered as low, while for the D:A:D model was moderate for this population. Conclusions: PLWH receiving cART present factors that may increase the risk of early heart disease including hypercholesterolemia, hypertriglyceridemia, smoking and age. Although risk was low/moderate after the assessment, it is important to consider other factors such as age of the subjects, overweight/obesity, smoking or coinfections, in addition to years of exposure to cART, which could increase the rate of heart disease.