Resting energy expenditure in HIV/AIDS patients: Development and validation of a predictive equation.

BACKGROUND: Accurate measurements of resting energy expenditure (REE) are important for determining nutritional needs in HIV patients. Indirect calorimetry (IC) is a noninvasive method that reflects REE but can be costly and is frequently calculated with predictive equations. Research suggests that REE obtained by predictive equations in people living with HIV/AIDS (PLWH) is inaccurate. The aim of the study is to develop and validate a new predictive equation of REE based on a population of PLWH. METHODS: Cross-sectional study including 164 PLWH (82 to develop and 82 to validate the equation). Multiple linear regression was used to determine the relationship between variables and to develop the new predictive equation. Intraclass correlation coefficient (ICC) and Bland-Altman methods were used to evaluate agreement between the new predictive equation and indirect calorimetry. RESULTS: A new predictive equation with an accuracy of 67% when compared with IC was developed. This equation included as covariates: fat free mass, antiretroviral therapy status and age. CONCLUSION: A new equation to predict energy expenditure in PLWH was developed and validated. This formula can be used to estimate REE if IC is not available.

Zinc and selenium indicators and their relation to immunologic and metabolic parameters in male patients with human immunodeficiency virus.

OBJECTIVES: Micronutrient deficiencies are common among people living with HIV (PLWHIV). The clinical and immunologic consequences of micronutrient deficiencies have been poorly explored in the context of human immunodeficiency virus (HIV) infection. The aim of this study was to determine the prevalence of zinc and selenium deficiency (dietary intake and serum concentrations) and analyze their associations with absolute CD4+ T-cell counts, inflammation markers, and metabolic disorders in a cohort of antiretroviral-experienced HIV-infected individuals. METHODS: The zinc and selenium intakes of 124 HIV-infected men were estimated using 3-d food records. In a subcohort of 45 individuals, serum zinc and selenium concentrations and proinflammatory cytokines were determined. Body composition, bone mineral density (BMD), CD4+ T-cell counts, lipid profile, glucose, and blood pressure were determined and were associated with zinc and selenium dietary intake and serum concentrations. RESULTS: Of the PLWHIV studied, 58% had suboptimal intake of zinc and 8% demonstrated suboptimal intake of selenium. Serum deficiencies for zinc and selenium were 23.9% and 65.9%, respectively. Zinc and selenium intake were correlated with increased muscle mass. Selenium intake was associated with increased BMD of the lumbar region. An inverse correlation between serum selenium concentration and several proinflammatory cytokines (interleukin-1ß, interleukin-6, and tumor necrosis factor-α) was found. CONCLUSION: Suboptimal zinc and selenium intake and serum concentration deficiencies are highly prevalent in treated HIV-positive individuals and are associated with body composition, BMD, and inflammation. Clinical trials should be designed to explore the effect of zinc and selenium supplementation on metabolic, inflammatory, and immunologic parameters on the HIV-positive population.

Accuracy of Predictive Equations for Energy Expenditure in Mexicans Living With HIV/AIDS With and Without Antiretroviral Therapy.

INTRODUCTION: Determination of the resting energy expenditure (REE) is essential for planning nutrition therapy in patients with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) to help to improve their nutrition status. We aim to evaluate the agreement and accuracy of prediction equations that estimate the REE in a Mexican population with a diagnosis of HIV/AIDS with and without antiretroviral therapy (ART). METHODS: A cross-sectional study in Mexican patients with HIV/AIDS with and without ART. Weight, height, and body composition measured with dual-energy x-ray absorptiometry were evaluated. The REE was determined with indirect calorimetry and estimated using the Mifflin-St Jeor (MSJ), Harris-Benedict (HB), Schofield 1 and 2, Cunningham, Melchior 91, Melchior 93, and Batterham equations. The Bland-Altman method assessed agreement between the real and estimated values, and the percent difference between these values was used to assess the prediction accuracy. RESULTS: Sixty-five adults without ART and 102 adults with ART were included. The mean REE (kcal/kg) was 24.8 ± 2.4 and 23.8 ± 3.6 in patients without and with ART, respectively. Good agreement and reliability were observed in the HB (intraclass correlation coefficient [ICC], 0.75; P < .05), Batterham (ICC, 0.79; P < .05), Schofield 1 (ICC, 0.74; P < .05), and Schofield 2 (ICC, 0.78; P < .05) results in individuals without ART. In individuals with ART, good agreement and reliability were observed with the HB equation (ICC, 0.76; P < .05). The MSJ equation showed good agreement with poor reliability (ICC, 0.05; P < .05). CONCLUSION: The equations with the best agreement and accuracy were Schofield 2, Batterham, and HB in individuals without ART and HB and MSJ in the population with ART.