Comunicaciones Orales

Resting Energy Expenditure (REE) is important for the prescription of Medical Nutrition Therapy in People Living with HIV (PLWHIV). Indirect calorimetry (IC) is considered the gold standard, however due to its cost is not available everywhere. Predictive equations are useful for a practical and low-cost estimate of REE. Few equations are specifically made for PLWHIV. Some authors have reported an increment around 10 to 30% in REE associated with the infection per se, antiretroviral therapy (ART) and chronic inflammation. The aim of the study is to evaluate the correlation between REE obtained by IC and predictive equations in Mexican PLWHIV. This is an observational, cross-sectional study. The sample consisted of PLWHIV who initiated ART with CD4 count less than 200 cells/mL. Body composition was measured using whole-body DXA imaging (GE Prodigy Lunar Advance). Body weight and height were measured. The REE equations Mifflin St. Jeor, Harris-Benedict, Schofield 1 and Schofield 2, Cummingham, Melchior 91, Melchior 93 and Battherham were calculated. REE was measured using an IC monitor (VMAX ENCORE PFT System). The REE measured by IC was compared with predictive equations using SPSS Version 17.0. T test, Intraclass correlation coefficient and Bland-Altmand plot were used to compare differences. The statistical significance was set at 5%. The values of REE obtained from the Harris-Benedict, Batterham and Schofield equations and indirect calorimetry had a significant positive correlation. The intraclass correlation coefficients were 0.40 for Schofield 2, 0.34 for Schofield 1, 0.29 for Batterham and 0.22 for Harris-Benedict. The main finding of this study is that the aforementioned predictive equations had better correlation with REE in PLWHIV with CD4 count less than 200 cells/mL. If IC is unavailable, the Schofield 2 equation was the closest to IC values and could be applied in clinical practice for the estimation of REE in Mexican PLWHIV.