Normal weight obesity is associated with hypercholesterolemia and low muscle mass in persons living with HIV on antiretroviral treatment.

OBJECTIVES: Normal weight obesity (NWO) is defined as a condition of normal body weight, but with high body fat percentage. Clinical and immunologic implications of NWO in persons living with HIV (PLHIV) remain unknown. The aim of this study was to examine NWO prevalence and its associations with metabolic and immunologic measurements in a cohort of PLHIV on antiretroviral treatment (ART). METHODS: We enrolled 73 adult PLHIV on ART. Body composition was assessed by dual-energy x-ray absorptiometry. NWO was defined as body mass index 18.5 to 24.9 kg/m2 and body fat ≥25%. We determined triacylglycerols, total cholesterol, high-density lipoprotein, low-density lipoprotein, blood glucose, blood pressure, bone mineral density, inflammatory cytokines (interleukin [IL]-1ß, tumor necrosis factor-α and IL-6) and CD4+ and CD8+ T-cell activation. RESULTS: The prevalence of NWO was 49% (36 of 73). Participants with NWO showed lower CD4+ T-cell percentage (25 versus 27%, P = 0.03), lower CD4/CD8 ratio (0.62 versus 0.82, P = 0.02), lower muscle mass (6.84 versus 7.11 kg/m2, P = 0.01) and higher prevalence of hypercholesterolemia (26% versus 6%, P = 0.03) than individuals with normal body composition. No differences in inflammation/activation markers were observed between groups (P > 0.05 in all cases). CONCLUSION: NWO was frequent in a cohort of Mexican PLHIV on ART and was associated with lower muscle mass, hypercholesterolemia, lower CD4+ T-cell percentage, and lower CD4/CD8 ratio. The incorporation of body fat measurements in the regular physical examination of PLHIV could contribute to early identification of the NWO condition and lead to better management of possible long-term morbidity.

Phase angle as predictor of malnutrition in people living with HIV/AIDS.

BACKGROUND: Phase angle (PhA), measured by bioelectrical impedance analysis (BIA) has been studied as an indicator of survival in people living with HIV (PLWH). However, it remains unclear whether PhA is associated with malnutrition or low CD4+ T-cell counts. OBJECTIVE: In this study, we assessed the discriminative capacity of PhA for malnutrition detection using Global Leadership Initiative on Malnutrition (GLIM) criteria in PLWH, aiming to propose cutoff points for this population. METHODS: This retrospective observational study included 427 adult PLWH (13% female). Participants were classified according to malnutrition status by using GLIM criteria. Body composition was assessed by using BIA. CD4+ T-cell counts were determined by flow cytometry. RESULTS: According to GLIM criteria, 30% of the participants were malnourished. Multivariate regression analysis showed that PhA (adjusted odds ratio [OR], 0.10; 95% CI, 0.05-0.18; P < 0.001), fat-mass percentage (adjusted OR, 0.86; 95% CI, 0.82-0.90; P < 0.001), and male sex (adjusted OR, 0.26; 95% CI, 0.09-0.76; P = 0.013) were independently associated with malnutrition. A PhA cutoff of 5.45° in men and 4.95° in women may predict malnutrition with sensitivity and specificity >70%. CONCLUSION: PhA could be a valid, useful, and simple predictor of malnutrition in PLWH.

Low phase angle is associated with 60-day mortality in critically ill patients with COVID-19.

BACKGROUND: Malnutrition status, body composition indicators, and bioelectrical impedance analysis (BIA) parameters have been associated with increased risk of death in several pathologies. The aim of this study was to describe the associations between phase angle (PhA) indicators obtained by BIA with length of hospital stay, days on mechanical ventilation, and 60-day mortality in critically ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: This is a prospective cohort of mechanically ventilated patients with coronavirus disease 2019 (COVID-19). We assessed nutrition risk and body composition with BIA within 48 h from intensive care unit admission. Logistic and linear regression models were used to analyze the association between variables and clinical outcomes. Survival analysis by PhA value was performed using Kaplan-Meier curves. RESULTS: Sixty-seven patients were included. PhA (odds ratio [OR], 0.36; P = .002), standardized PhA (SPA) (OR, 0.45; P = .001), and extracellular water/total body water ratio (OR, 3.25; P = .002) were significant predictors of 60-day mortality. PhA <3.85° in females and <5.25° in males showed good and fair discrimination, respectively, for mortality prediction. Using cutoff values, low PhA was associated with a significantly increased risk of 60-day mortality (hazard ratio, 3.08; 95% CI, 1.12-8.41; P = .02). No association was detected for SPA. CONCLUSION: Low PhA values could be a predictor of 60-day mortality in critically ill patients with COVID-19. This biological marker could be incorporated as part of nutrition and mortality risk assessment in this population.

High nutritional risk using NUTRIC-Score is associated with worse outcomes in COVID-19 critically ill patients.

INTRODUCTION: Background: nutritional risk has been associated with worse outcomes at the critical care unit. The aim of this study was to describe the association between nutritional risk and length of stay, days on mechanical ventilation, and in-hospital mortality in patients infected with SARS-CoV-2. Methods: a retrospective cohort of ventilated, critically ill patients. We assessed nutrition risk at baseline using NUTRIC-score. Logistic and linear regression models were used to analyze the association between NUTRIC-score and clinical outcomes (days on mechanical ventilation, hospital length of stay, and in-hospital mortality). A survival analysis was performed using Kaplan-Meier curves. Results: a total of 112 patients were included, 39.3 % were overweight and 47.3 % were obese. Based on NUTRIC-Score, 66 % and 34 % of patients were at high and low nutritional risk, respectively. High nutritional risk was associated with increased mortality risk (OR: 2.4, 95 % CI, 1.06-5.47, p = 0.036) and higher 28-day mortality (HR: 2.05, 95 % CI, 1.01-4.23, p = 0.04) in comparison with low risk. Conclusion: high nutritional risk is related to mortality in SARS-CoV-2 critically ill patients. Overweight and obesity are common in this sample. More studies are needed to elucidate the impact of nutritional therapy on infection course and outcomes.

INTRODUCCIÓN: Introducción: el riesgo nutricional se asocia a peores desenlaces en los pacientes en estado crítico. El objetivo de este estudio es describir la asociación entre el riesgo nutricional y los días de estancia hospitalaria, los días de ventilación mecánica y la mortalidad en pacientes infectados por el SARS-CoV-2. Métodos: cohorte retrospectiva de pacientes en estado crítico bajo ventilación mecánica invasiva. Se evaluó el riesgo nutricional utilizando la herramienta NUTRIC-Score. Se utilizaron regresiones lineares y logísticas para evaluar la asociación entre el riesgo nutricional y los desenlaces clínicos (días de ventilación mecánica, días de estancia hospitalaria y mortalidad hospitalaria). Se utilizaron curvas de Kaplan-Meier para analizar la sobrevivencia. Resultados: se incluyeron 112 pacientes, el 39,3 % con diagnóstico de sobrepeso y el 47,3 % con obesidad de acuerdo con el IMC. Utilizando la herramienta NUTRIC-Score, el 66 % tenían riesgo nutricional alto y el 34 % riesgo nutricional bajo. El riesgo nutricional alto se asoció a un mayor riesgo de mortalidad (OR: 2,4; IC 95 %: 1,06-5,47; p = 0,036) y mayor mortalidad a 28 días (HR: 2,05; IC 95 %: 1,01-4,23; p = 0,04) en comparación con los individuos con riesgo nutricional bajo. Conclusión: el riesgo nutricional alto se asocia con mortalidad en los pacientes con infección por SARS-CoV-2 en estado crítico. El sobrepeso y la obesidad son comunes en este grupo de pacientes. Se necesitan más estudios que evalúen el impacto de la terapia nutricional sobre el curso de la infección y los desenlaces clínicos.

Safety and tolerance of enteral nutrition in COVID-19 critically ill patients, a retrospective study.

BACKGROUND: There is a lack of evidence about the tolerance of enteral nutrition (EN) in COVID-19 critically ill patients. However, several gastrointestinal manifestations related to COVID-19 have been described. The aims of this study were to analyze the incidence of gastrointestinal intolerance (GI) associated to EN (diarrhea, vomiting, gastroparesis and constipation) and to describe energy/protein provision along with biochemical alterations during the first week of EN. METHODS: A retrospective cohort of COVID-19 critically ill patients under mechanical ventilation. We reported daily enteral nutrition infusion and gastrointestinal manifestations within the first week of intubation and enteral nutrition initiation. RESULTS: Fifty-two patients were included; 40.3% were overweight and 46.2% were obese. During the first 7 days of EN, manifestations of GI intolerance such as vomiting, diarrhea and gastroparesis were present in 18 patients (32.4%). Hypernatremia (39%) was the most frequent electrolyte abnormality. Only Acute Kidney Injury (AKI) diagnosis was associated with a higher energy deficit on day 7. No associations between drug prescription and GI intolerance were observed. On day 4, 94.5% of patients were receiving more than 80% of energy requirements and 94.2% of protein requirements. Accumulated energy and protein deficits at day 3 were 2171.2 ± 945 kcal and 114.9 ± 49.2 g, respectively; and 2586.4 ± 1151 kcal, 133.3 ± 60.4 g at day 7. CONCLUSION: Enteral nutrition is feasible and well-tolerated in COVID-19 patients with mechanical ventilation within the first week of enteral nutrition initiation. More studies are needed to elucidate the impact of nutritional therapy on infection course and outcomes.

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.

High nutritional risk using NUTRIC-Score is associated with worse outcomes in COVID-19 critically ill patients / Asociación entre el riesgo nutricional evaluado a través de NUTRIC-Score y los desenlaces clínicos en pacientes en estado crítico con COVID-19

Background: nutritional risk has been associated with worse outcomes at the critical care unit. The aim of this study was to describe the association between nutritional risk and length of stay, days on mechanical ventilation, and in-hospital mortality in patients infected with SARS-CoV-2. Methods: a retrospective cohort of ventilated, critically ill patients. We assessed nutrition risk at baseline using NUTRIC-score. Logistic and linear regression models were used to analyze the association between NUTRIC-score and clinical outcomes (days on mechanical ventilation, hospital length of stay, and in-hospital mortality). A survival analysis was performed using Kaplan-Meier curves. Results: a total of 112 patients were included, 39.3 % were overweight and 47.3 % were obese. Based on NUTRIC-Score, 66 % and 34 % of patients were at high and low nutritional risk, respectively. High nutritional risk was associated with increased mortality risk (OR: 2.4, 95 % CI, 1.06-5.47, p = 0.036) and higher 28-day mortality (HR: 2.05, 95 % CI, 1.01-4.23, p = 0.04) in comparison with low risk. Conclusion: high nutritional risk is related to mortality in SARS-CoV-2 critically ill patients. Overweight and obesity are common in this sample. More studies are needed to elucidate the impact of nutritional therapy on infection course and outcomes. (AU)

Introducción: el riesgo nutricional se asocia a peores desenlaces en los pacientes en estado crítico. El objetivo de este estudio es describir la asociación entre el riesgo nutricional y los días de estancia hospitalaria, los días de ventilación mecánica y la mortalidad en pacientes infectados por el SARS-CoV-2. Métodos: cohorte retrospectiva de pacientes en estado crítico bajo ventilación mecánica invasiva. Se evaluó el riesgo nutricional utilizando la herramienta NUTRIC-Score. Se utilizaron regresiones lineares y logísticas para evaluar la asociación entre el riesgo nutricional y los desenlaces clínicos (días de ventilación mecánica, días de estancia hospitalaria y mortalidad hospitalaria). Se utilizaron curvas de Kaplan-Meier para analizar la sobrevivencia. Resultados: se incluyeron 112 pacientes, el 39,3 % con diagnóstico de sobrepeso y el 47,3 % con obesidad de acuerdo con el IMC. Utilizando la herramienta NUTRIC-Score, el 66 % tenían riesgo nutricional alto y el 34 % riesgo nutricional bajo. El riesgo nutricional alto se asoció a un mayor riesgo de mortalidad (OR: 2,4; IC 95 %: 1,06-5,47; p = 0,036) y mayor mortalidad a 28 días (HR: 2,05; IC 95 %: 1,01-4,23; p = 0,04) en comparación con los individuos con riesgo nutricional bajo. Conclusión: el riesgo nutricional alto se asocia con mortalidad en los pacientes con infección por SARS-CoV-2 en estado crítico. El sobrepeso y la obesidad son comunes en este grupo de pacientes. Se necesitan más estudios que evalúen el impacto de la terapia nutricional sobre el curso de la infección y los desenlaces clínicos. (AU)