It is not just about prescription. A cohort study of the impact of enteral nutrition on mortality of hospitalized patients with CoVID-19 / No es solo una prescripción. Estudio de cohorte del impacto de la nutrición enteral en la mortalidad de pacientes hospitalizados con COVID-19

Introduction: during COVID-19 pandemic, international societies released guidelines and recommendations for patients requiring nutritionalsupport according to previous similar respiratory diseases.Objectives: the aim of the study was to evaluate the nutritional support provided by enteral nutrition (EN) in patients with COVID-19 infection,identify if the recommendations from international societies were met and their impact on mortality rate.Methods: a cohort study was conducted on adult patients with COVID-19 admitted to a tertiary hospital. Demographic, clinical, biochemical, andnutritional variables were obtained. A random-effect parametric survival-time model was performed to quantify the risk of death for each variable,and the Hausman test was used to confirm the model.Results: two hundred and twenty-nine patients were enrolled. The delivered energy was > 80 % of adequacy in the first two days, as suggestedby international guidelines (11.7 ± 4.9 kcal/kg); however, an adequacy rate less than 60 % was achieved on day 14 (25.4 ± 7.4 kcal/kg). Theprotein adequacy was > 75 % on the first days of infusion (1.3 ± 0.3 g/kg); however, the infusion was < 50 % (1.5 ± 0.4 g/kg) after being extu-bated. Age, sex, and nutritional risk were related to higher mortality in patients with EN, whereas the infused energy and protein, the percentageof protein adequacy, arginine, and n-3 PUFA were associated with lower mortality.Conclusion: achieving at least 80 % of the energy and protein requirements, as well as n-3 PUFA and arginine supplementation could be asso-ciated with lower mortality in COVID-19 patients. More studies are needed to confirm the role of these nutrients on the mortality rate.(AU)

Introducción: durante la pandemia de COVID-19, las sociedades internacionales publicaron guías y recomendaciones para pacientes querequieren apoyo nutricional basándose en lo previamente recomendado en enfermedades respiratorias similares.Objetivos: evaluar el soporte nutricional con nutrición enteral (NE) en pacientes con COVID-19 e identificar el cumplimiento de las recomenda-ciones hechas por las sociedades internacionales y su impacto en la tasa de mortalidad.Métodos: estudio de cohorte en adultos con COVID-19 ingresados en un hospital de tercer nivel. Se registraron variables demográficas, clínicas,bioquímicas y nutricionales. Se realizó un modelo de supervivencia de efectos aleatorios para cuantificar el riesgo de muerte para cada variabley la prueba de Hausman para confirmar el modelo.Resultados: se incluyeron 229 pacientes. La energía administrada fue > 80 % de adecuación en los dos primeros días (11,7 ± 4,9 kcal/kg);sin embargo, fue < 60 % el día 14 (25,4 ± 7,4 kcal/kg). La adecuación de proteínas fue > 75 % en los primeros días de infusión (1,3 ± 0,3g/kg), pero < 50 % (1,5 ± 0,4 g/kg) después de ser extubado. La edad, el sexo y el riesgo nutricional se relacionaron con mayor mortalidad,mientras que la energía y proteína infundidas, el porcentaje de adecuación proteica, la arginina y el contenido de ácidos grasos poliinsaturados(AGPI) n-3 se asociaron con menor mortalidad.Conclusión: aunque se necesitan más estudios para confirmarlo, alcanzar al menos el 80 % de los requerimientos energéticos y proteicos, asícomo la suplementación de fórmulas con AGPI n-3 y arginina, podría asociarse con menor mortalidad en pacientes con COVID-19.(AU)

Nutritional interventions as modulators of the disease activity for idiopathic inflammatory myopathies: a scoping review.

Idiopathic inflammatory myopathies (IIMs) are chronic, autoimmune connective tissue diseases associated with significant morbidity and disability. Nutrients can activate the immune system and contribute to chronic low-grade inflammation (LGI). Chronic muscle inflammation leads to imbalanced pro-inflammatory and anti-inflammatory cytokines, causing inadequate nutrition, weight loss and muscle weakness during a negative cycle. Owing to its potential to modulate LGI in various diseases, the Mediterranean diet (Med Diet) has been extensively studied. This scoping review explores the nutritional implications and recommendations of the Med Diet as a treatment for immune-mediated diseases, focusing on the gaps in IIM nutritional interventions. A comprehensive literature search of the MEDLINE and EBSCO databases between September 2018 and December 2022 was performed. We identified that the Med Diet and its specific components, such as omega-3 (nω3) fatty acids, vitamin D and antioxidants, play a role in the dietary treatment of connective tissue-related autoimmune diseases. Nutritional interventions have demonstrated potential for modulating disease activity and warrant further exploration of IIMs through experimental studies. This review introduces a dietary therapeutic approach using the Med Diet and related compounds to regulate chronic inflammatory processes in IIMs. However, further clinical studies are required to evaluate the efficacy of the Med Diet in patients with IIMs. Emphasising a clinical-nutritional approach, this study encourages future research on the anti-inflammatory effects of the Med Diet on IIMs. This review highlights potential insights for managing and treating these conditions using a holistic approach.

It is not just about prescription. A cohort study of the impact of enteral nutrition on mortality of hospitalized patients with COVID-19.

Introduction: Introduction: during COVID-19 pandemic, international societies released guidelines and recommendations for patients requiring nutritional support according to previous similar respiratory diseases. Objectives: the aim of the study was to evaluate the nutritional support provided by enteral nutrition (EN) in patients with COVID-19 infection, identify if the recommendations from international societies were met and their impact on mortality rate. Methods: a cohort study was conducted on adult patients with COVID-19 admitted to a tertiary hospital. Demographic, clinical, biochemical, and nutritional variables were obtained. A random-effect parametric survival-time model was performed to quantify the risk of death for each variable, and the Hausman test was used to confirm the model. Results: two hundred and twenty-nine patients were enrolled. The delivered energy was > 80 % of adequacy in the first two days, as suggested by international guidelines (11.7 ± 4.9 kcal/kg); however, an adequacy rate less than 60 % was achieved on day 14 (25.4 ± 7.4 kcal/kg). The protein adequacy was > 75 % on the first days of infusion (1.3 ± 0.3 g/kg); however, the infusion was < 50 % (1.5 ± 0.4 g/kg) after being extubated. Age, sex, and nutritional risk were related to higher mortality in patients with EN, whereas the infused energy and protein, the percentage of protein adequacy, arginine, and n-3 PUFA were associated with lower mortality. Conclusion: achieving at least 80 % of the energy and protein requirements, as well as n-3 PUFA and arginine supplementation could be associated with lower mortality in COVID-19 patients. More studies are needed to confirm the role of these nutrients on the mortality rate.

Introducción: Introducción: durante la pandemia de COVID-19, las sociedades internacionales publicaron guías y recomendaciones para pacientes que requieren apoyo nutricional basándose en lo previamente recomendado en enfermedades respiratorias similares. Objetivos: evaluar el soporte nutricional con nutrición enteral (NE) en pacientes con COVID-19 e identificar el cumplimiento de las recomendaciones hechas por las sociedades internacionales y su impacto en la tasa de mortalidad. Métodos: estudio de cohorte en adultos con COVID-19 ingresados en un hospital de tercer nivel. Se registraron variables demográficas, clínicas, bioquímicas y nutricionales. Se realizó un modelo de supervivencia de efectos aleatorios para cuantificar el riesgo de muerte para cada variable y la prueba de Hausman para confirmar el modelo. Resultados: se incluyeron 229 pacientes. La energía administrada fue > 80 % de adecuación en los dos primeros días (11,7 ± 4,9 kcal/kg); sin embargo, fue < 60 % el día 14 (25,4 ± 7,4 kcal/kg). La adecuación de proteínas fue > 75 % en los primeros días de infusión (1,3 ± 0,3 g/kg), pero < 50 % (1,5 ± 0,4 g/kg) después de ser extubado. La edad, el sexo y el riesgo nutricional se relacionaron con mayor mortalidad, mientras que la energía y proteína infundidas, el porcentaje de adecuación proteica, la arginina y el contenido de ácidos grasos poliinsaturados (AGPI) n-3 se asociaron con menor mortalidad. Conclusión: aunque se necesitan más estudios para confirmarlo, alcanzar al menos el 80 % de los requerimientos energéticos y proteicos, así como la suplementación de fórmulas con AGPI n-3 y arginina, podría asociarse con menor mortalidad en pacientes con COVID-19.

Perceived Diet Quality, Eating Behaviour, and Lifestyle Changes in a Mexican Population with Internet Access during Confinement for the COVID-19 Pandemic: ESCAN-COVID19Mx Survey.

Perceived changes in diet quality, emotional eating, physical activity, and lifestyle were evaluated in a group of Mexican adults before and during COVID-19 confinement. In this study, 8289 adults answered an online questionnaire between April and May 2020. Data about sociodemographic characteristics, self-reported weight and height, diet quality, emotional eating, physical activity, and lifestyle changes were collected. Before and after confinement, differences by sociodemographic characteristics were assessed with Wilcoxon, Anova, and linear regression analyses. Most participants were women (80%) between 18 and 38 years old (70%), with a low degree of marginalisation (82.8%) and a high educational level (84.2%); 53.1% had a normal weight and 31.4% were overweight. Half (46.8%) of the participants perceived a change in the quality of their diet. The Diet Quality Index (DQI) was higher during confinement (it improved by 3 points) in all groups, regardless of education level, marginalisation level, or place of residence (p < 0.001). Lifestyle changes were present among some of the participants, 6.1% stopped smoking, 12.1% stopped consuming alcohol, 53.3% sleep later, 9% became more sedentary, and increased their screen (43%) as well as sitting and lying down time (81.6%). Mexicans with Internet access staying at home during COVID-19 confinement perceived positive changes in the quality of their diet, smoking, and alcohol consumption, but negative changes in the level of physical activity and sleep quality. These results emphasise the relevance of encouraging healthy lifestyle behaviours during and after times of crisis to prevent the risk of complications due to infectious and chronic diseases.

The effect of enteral stimulation on the immune response of the intestinal mucosa and its application in nutritional support.

The intestine plays a fundamental role as a regulator of the mucosal immune response, mostly through the production and secretion of secretory Immunoglobulin A (sIgA) by the gut-associated lymphoid tissue (GALT). Enteral stimulation, a balance between the commensal microbiota and pathogenic microorganisms, in addition to an adequate nutritional status is required for the optimal immune function of the intestine. Fasting subjects or those supported only with parenteral nutrition, show a progressive anatomical and physiological deterioration of the GALT, triggering a series of alterations resulting in a decrease in the intestinal immune response, modification in the type of microbiota, and changes that lead to or aggravate malnutrition. Patients with malnutrition present an increase in the rate of nosocomial infections, hospital length of stay, and mortality. An adequate nutritional assessment at hospital admission and avoiding long periods of fasting are paramount to prevent these unfavorable outcomes. Herein, we present a mini-state of the art review on the role and importance of enteral stimulation by GALT-mediated immune response.

Validating an energy expenditure prediction equation in overweight and obese Mexican patients.

BACKGROUND: The prevalence of overweight and obesity in Mexico is approximately 70%; thus, obtaining a reliable measurement of the resting energy expenditure (REE) in these patients is of extreme importance. The aim of the study was to obtain a prediction equation of REE in overweight or obese outpatients in the Mexican population. METHODS: The study was conducted at The National Institute for Medical Sciences and Nutrition Salvador Zubiran (Mexico, D.F.). Consecutive outpatients (18-70 years old) at the Clinical Nutrition were evaluated between March 2010 and August 2012 after being diagnosed with overweight or obesity (body mass index [BMI] ≥ 25 kg/m2). Patients with any disease that could affect the measurement of gas exchange were excluded. Participants were evaluated by indirect calorimetry (IC), bioelectrical impedance analysis (BIA) and anthropometric measurements to design the REE prediction equation. Two groups were evaluated: one group for derivation and another group for validation. The REE was also estimated using the equations of Harris-Benedict, Mifflin St-Jeor, Ireton-Jones, Carrasco, Kleiber and Owen, assessing current weight, ideal weight and adjusted weight. A REE equation was obtained by multiple linear regression based on the evaluated variables, and those that gave the best precision to the model were selected. The real REE and the estimated REE were then compared using Student's t-test. To highlight differences, pairs of measurements were further analyzed using the Bland & Altman plot. Pearson correlation coefficients and coefficients of determination between REE values measured by IC and REE values estimated using various formulas were calculated. RESULTS: A total of 77 patients were included in the derivation group: 38 men (49.4%) and 39 women (50.6%). The mean age was 48.5 ± 13.9 years, and the mean BMI was 34.7 ± 5.7 kg/m2. A total of 50 participants were included in the validation group: 16 men (32%) and 34 women (68%). The mean age was 48.5 ± 15.5 years, and the mean BMI was 34.2 ± 5.2 kg/m2. The baseline characteristics of both groups were homogeneous. IC reported an average of 2001 ± 552 kcal, with a respiratory quotient (RQ) of 0.75 ± 0.04. The new REE equation that resulted from the statistical model had an R2 = 0.52 and a bias of ± 3.39 kcal. When the REE obtained from IC was compared with the REE estimated by the new formula, there was no significant difference between the results, and the correlation for all participants was 0.71 (p. <0.0001). When the equations were analyzed using the Bland-Altman method, the difference between the new formula and the REE measurement by IC was a bias of 3.39 ± 384 kcal.Furthermore, a correlation was obtained between the real and estimated REE values using different equations; the most accurate correlation with the new formula was Owen's formula (r=0.712). CONCLUSION: The new formula had an acceptable correlation with IC REE measurement in overweight and obese patients in the Mexican population. This equation may represent a useful tool for health care professionals who do not have access to IC equipment for the estimation of REE.

Antecedentes: La prevalencia de sobrepeso y obesidad en Mexico se situa aproximadamente en el 70%; asi, la obtencion de una medicion fiable del gasto energetico en reposo (GER) en estos pacientes tiene una importancia crucial. El objetivo del estudio consistio en obtener una ecuacion de prediccion de GER en pacientes ambulatorios con sobrepeso u obesidad en la poblacion mexicana. Métodos: El estudio fue realizado en el Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran (Mexico, D.F.). Se evaluo a pacientes ambulatorios consecutivos (18-70 anos) en el servicio de Nutriologia Clinica entre marzo de 2010 y agosto 2012 tras un diagnostico de sobrepeso u obesidad (indice de masa corporal [IMC] ≥ 25 kg/ m2). Los pacientes con cualquier enfermedad que pudiera afectar la medicion de intercambio de gases fueron excluidos. Los participantes fueron evaluados mediante calorimetria indirecta (CI), analisis de impedancia bioelectrica (AIB) y mediciones antropometricas para disenar la ecuacion de prediccion de GER. Fueron evaluados dos grupos: un grupo para diseno y otro para validacion. El GER tambien fue calculado empleando las ecuaciones de Harris-Benedict, Mifflin St-Jeor, Ireton-Jones, Carrasco, Kleiber y Owen, calculando el peso actual, el peso ideal y un peso ajustado. Se obtuvo una ecuacion GER mediante regresion lineal multiple basada en las variables evaluadas, y fueron seleccionadas aquellas que aportaron la mayor precision al modelo. Luego se compararon el GER real y el GER estimado, utilizando la prueba de t de student. Para destacar las diferencias entre pares de mediciones se utilizo el metodo de Bland & Altman. Se calcularon los coeficientes de correlacion de Pearson y los coeficientes de determinacion entre valores GER medidos mediante valores de CI y GER con diversas formulas. Resultados: Un total de 77 pacientes fueron incluidos en el grupo de diseno: 38 hombres (49.4%) y 39 mujeres (50.6%). La edad media fue 48.5 } 13.9 anos, y el IMC medio fue 34.7 } 5.7 kg/m2. Un total de 50 participantes fueron incluidos en el grupo de validacion: 16 hombres (32%) y 34 mujeres (68%). La edad media fue 48.5 } 15.5 anos, y el IMC medio fue 34.2 } 5.2 kg/m2. Las ca racteristicas iniciales de ambos grupos eran homogeneas. La CI indico una media de 2001 } 552 kcal, con un cociente respiratorio (CR) de 0.75 } 0.04. La nueva ecuacion de GER resultante del modelo estadistico presento un R2 = 0.52 y una desviacion de } 3.39 kcal. Al comparar el GER obtenido de CI con el GER calculado mediante la nueva formula, no se aprecio diferencia significativa entre los resultados, y la correlacion para todos los participantes fue 0.71 (p.

Validating an energy expenditure prediction equation in overweight and obese Mexican patients / Validación de una fórmula de predicción del gasto energético en pacientes con sobrepeso y obesidad en México

Background: The prevalence of overweight and obesity in Mexico is approximately 70%; thus, obtaining a reliable measurement of the resting energy expenditure (REE) in these patients is of extreme importance. The aim of the study was to obtain a prediction equation of REE in overweight or obese outpatients in the Mexican population. Methods: The study was conducted at The National Institute for Medical Sciences and Nutrition Salvador Zubirán (Mexico, D.F.). Consecutive outpatients (18-70 years old) at the Clinical Nutrition were evaluated between March 2010 and August 2012 after being diagnosed with overweight or obesity (body mass index [BMI] ≥ 25 kg/m2). Patients with any disease that could affect the measurement of gas exchange were excluded. Participants were evaluated by indirect calorimetry (IC), bioelectrical impedance analysis (BIA) and anthropometric measurements to design the REE prediction equation. Two groups were evaluated: one group for derivation and another group for validation. The REE was also estimated using the equations of Harris-Benedict, Mifflin St-Jeor, Ireton-Jones, Carrasco, Kleiber and Owen, assessing current weight, ideal weight and adjusted weight. A REE equation was obtained by multiple linear regression based on the evaluated variables, and those that gave the best precision to the model were selected. The real REE and the estimated REE were then compared using Student’s t-test. To highlight differences, pairs of measurements were further analyzed using the Bland & Altman plot. Pearson correlation coefficients and coefficients of determination between REE values measured by IC and REE values estimated using various formulas were calculated. Results: A total of 77 patients were included in the derivation group: 38 men (49.4%) and 39 women (50.6%). The mean age was 48.5 ± 13.9 years, and the mean BMI was 34.7 ± 5.7 kg/m2. A total of 50 participants were included in the validation group: 16 men (32%) and 34 women (68%). The mean age was 48.5 ± 15.5 years, and the mean BMI was 34.2 ± 5.2 kg/m2. The baseline characteristics of both groups were homogeneous. IC reported an average of 2001 ± 552 kcal, with a respiratory quotient (RQ) of 0.75 ± 0.04. The new REE equation that resulted from the statistical model had an R2 = 0.52 and a bias of ± 3.39 kcal. When the REE obtained from IC was compared with the REE estimated by the new formula, there was no significant difference between the results, and the correlation for all participants was 0.71 (p <0.0001). When the equations were analyzed using the Bland-Altman method, the difference between the new formula and the REE measurement by IC was a bias of 3.39 ± 384 kcal. Furthermore, a correlation was obtained between the real and estimated REE values using different equations; the most accurate correlation with the new formula was Owen’s formula (r=0.712). Conclusion: The new formula had an acceptable correlation with IC REE measurement in overweight and obese patients in the Mexican population. This equation may represent a useful tool for health care professionals who do not have access to IC equipment for the estimation of REE (AU)

Antecedentes: La prevalencia de sobrepeso y obesidad en México se sitúa aproximadamente en el 70%; así, la obtención de una medición fiable del gasto energético en reposo (GER) en estos pacientes tiene una importancia crucial. El objetivo del estudio consistió en obtener una ecuación de predicción de GER en pacientes ambulatorios con sobrepeso u obesidad en la población mexicana. Métodos: El estudio fue realizado en el Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (México, D.F.). Se evaluó a pacientes ambulatorios consecutivos (18-70 años) en el servicio de Nutriología Clínica entre marzo de 2010 y agosto 2012 tras un diagnóstico de sobrepeso u obesidad (índice de masa corporal [IMC] ≥ 25 kg/ m2). Los pacientes con cualquier enfermedad que pudiera afectar la medición de intercambio de gases fueron excluidos. Los participantes fueron evaluados mediante calorimetría indirecta (CI), análisis de impedancia bioeléctrica (AIB) y mediciones antropométricas para diseñar la ecuación de predicción de GER. Fueron evaluados dos grupos: un grupo para diseño y otro para validación. El GER también fue calculado empleando las ecuaciones de Harris-Benedict, Mifflin St-Jeor, Ireton-Jones, Carrasco, Kleiber y Owen, calculando el peso actual, el peso ideal y un peso ajustado. Se obtuvo una ecuación GER mediante regresión lineal múltiple basada en las variables evaluadas, y fueron seleccionadas aquellas que aportaron la mayor precisión al modelo. Luego se compararon el GER real y el GER estimado, utilizando la prueba de t de student. Para destacar las diferencias entre pares de mediciones se utilizo el método de Bland & Altman. Se calcularon los coeficientes de correlación de Pearson y los coeficientes de determinación entre valores GER medidos mediante valores de CI y GER con diversas fórmulas. Resultados: Un total de 77 pacientes fueron incluidos en el grupo de diseño: 38 hombres (49.4%) y 39 mujeres (50.6%). La edad media fue 48.5 ± 13.9 años, y el IMC medio fue 34.7 ± 5.7 kg/m2. Un total de 50 participantes fueron incluidos en el grupo de validación: 16 hombres (32%) y 34 mujeres (68%). La edad media fue 48.5 ± 15.5 años, y el IMC medio fue 34.2 ± 5.2 kg/m2. Las características iniciales de ambos grupos eran homogéneas. La CI indicó una media de 2001 ± 552 kcal, con un cociente respiratorio (CR) de 0.75 ± 0.04. La nueva ecuación de GER resultante del modelo estadístico presentó un R2 = 0.52 y una desviación de ± 3.39 kcal. Al comparar el GER obtenido de CI con el GER calculado mediante la nueva fórmula, no se apreció diferencia significativa entre los resultados, y la correlación para todos los participantes fue 0.71 (p <0.0001). Al comparar las ecuaciones usando el método Bland-Altman, la diferencia entre la nueva fórmula y la medición GER mediante CI mostró una desviación de 3.39 ± 384 kcal. Además, se obtuvo una correlación entre los valores reales y calculados de GER usando diferentes ecuaciones; la correlación más precisa con la nueva fórmula fue la fórmula de Owen (r = 0.712). Conclusión: La nueva fórmula tuvo una correlación aceptable con medición CI de GER en pacientes con sobrepeso y obesidad en la población mexicana. Esta ecuación podría suponer una útil herramienta para los profesionales de la salud que no tienen acceso a equipos de CI para el cálculo del GER (AU)

Validation of a new formula for predicting body weight in a Mexican population with overweight and obesity.

INTRODUCTION: Body weight measurement is of critical importance when evaluating the nutritional status of patients entering a hospital. In some situations, such as the case of patients who are bedridden or in wheelchairs, these measurements cannot be obtained using standardized methods. We have designed and validated a formula for predicting body weight. OBJECTIVES: To design and validate a formula for predicting body weight using circumference-based equations. METHODS: The following anthropometric measurements were taken for a sample of 76 patients: weight (kg), calf circumference, average arm circumference, waist circumference, hip circumference, wrist circumference and demispan. All circumferences were taken in centimetres (cm), and gender and age were taken into account. This equation was validated in 85 individuals from a different population. The correlation with the new equation was analyzed and compared to a previously validated method. RESULTS: The equation for weight prediction was the following: Weight = 0.524 (WC) - 0.176 (age) + 0.484 (HC) + 0.613 (DS) + 0.704 (CC) + 2.75 (WrC) - 3.330 (if female) - 140.87. The correlation coefficient was 0.96 for the total group of patients, 0.971 for men and 0.961 for women (p < 0.0001 for all measurements). CONCLUSION: The equation we developed is accurate and can be used to estimate body weight in overweight and/or obese patients with mobility problems, such as bedridden patients or patients in wheelchairs.

Introducción: La medición del peso corporal resulta de suma importancia en la evaluación del estado nutricional de los pacientes que ingresan a una institución hospitalaria. En algunas situaciones, estas mediciones no pueden obtenerse por los métodos estandarizados, como es el caso de los pacientes encamados o en silla de ruedas. Nosotros diseñamos y validamos una fórmula de predicción del peso corporal. Objetivos: Diseñar y validar una fórmula de predicción del peso corporal utilizando circunferencias. Métodos: Se realizaron las siguientes medidas antropométricas en una muestra de 76 pacientes: peso en kg (P), circunferencia de pantorrilla (CP), circunferencia media de brazo (CMB), cintura (CC), cadera (CCad), circunferencia de muñeca (CM) y media envergadura (ME) todas las circunferencias fueron tomadas en cm y así mismo se tomó en cuenta el género y la edad. De estas mediciones obtuvimos una ecuación de predicción del peso corporal. Esta ecuación se validó en 85 individuos de una población diferente. Se realizó un análisis de la correlación de la nueva ecuación contra un método previamente validado. Resultados: La ecuación de predicción de peso fue la siguiente: Peso = 0,524 (CC) - 0,176 (edad) + 0,484 (CCad) + 0,613 (ME) + 0,704 (CP) + 2,75 (CM) - 3,330 (si es mujer) -140,87. El coeficiente de correlación fue de 0,96 para el grupo de pacientes totales y de 0,971 para hombres y 0,961 para mujeres (todos p < 0,0001). Conclusión: La ecuación desarrollada en nuestro trabajo, es precisa, y puede emplearse para estimar el peso corporal en pacientes con sobrepeso y/o obesidad que tengan problemas de movilidad como pacientes encamados, o en sillas de ruedas.

Validation of a new formula for predicting body weight in a Mexican population with overweight and obesity / Validación de una nueva fórmula de predicción de peso en población mexicana con sobrepeso y obesidad

INTRODUCTION: Body weight measurement is of critical importance when evaluating the nutritional status of patients entering a hospital. In some situations, such as the case of patients who are bedridden or in wheelchairs, these measurements cannot be obtained using standardized methods. We have designed and validated a formula for predicting body weight. OBJECTIVES: To design and validate a formula for predicting body weight using circumference-based equations. METHODS: The following anthropometric measurements were taken for a sample of 76 patients: weight (kg), calf circumference, average arm circumference, waist circumference, hip circumference, wrist circumference and demispan. All circumferences were taken in centimetres (cm), and gender and age were taken into account. This equation was validated in 85 individuals from a different population. The correlation with the new equation was analyzed and compared to a previously validated method. RESULTS: The equation for weight prediction was the following: Weight = 0.524 (WC) - 0.176 (age) + 0.484 (HC) + 0.613 (DS) + 0.704 (CC) + 2.75 (WrC) - 3.330 (if female) - 140.87. The correlation coefficient was 0.96 for the total group of patients, 0.971 for men and 0.961 for women (p < 0.0001 for all measurements).CONCLUSION: The equation we developed is accurate and can be used to estimate body weight in overweight and/or obese patients with mobility problems, such as bedridden patients or patients in wheelchairs (AU)

Introducción: La medición del peso corporal resulta de suma importancia en la evaluación del estado nutricional de los pacientes que ingresan a una institución hospitalaria. En algunas situaciones, estas mediciones no pueden obtenerse por los métodos estandarizados, como es el caso de los pacientes encamados o en silla de ruedas. Nosotros diseñamos y validamos una fórmula de predicción del peso corporal. Objetivos: Diseñar y validar una fórmula de predicción del peso corporal utilizando circunferencias. Métodos: Se realizaron las siguientes medidas antropométricas en una muestra de 76 pacientes: peso en kg (P), circunferencia de pantorrilla (CP), circunferencia media de brazo (CMB), cintura (CC), cadera (CCad), circunferencia de muñeca (CM) y media envergadura (ME) todas las circunferencias fueron tomadas en cm y así mismo se tomó en cuenta el género y la edad. De estas mediciones obtuvimos una ecuación de predicción del peso corporal. Esta ecuación se validó en 85 individuos de una población diferente. Se realizó un análisis de la correlación de la nueva ecuación contra un método previamente validado. Resultados: La ecuación de predicción de peso fue la siguiente: Peso = 0,524 (CC) - 0,176 (edad) + 0,484 (CCad) + 0,613 (ME) + 0,704 (CP) + 2,75 (CM) - 3,330 (si es mujer) -140,87. El coeficiente de correlación fue de 0,96 para el grupo de pacientes totales y de 0,971 para hombres y 0,961 para mujeres (todos p < 0,0001). Conclusión: La ecuación desarrollada en nuestro trabajo, es precisa, y puede emplearse para estimar el peso corporal en pacientes con sobrepeso y/o obesidad que tengan problemas de movilidad como pacientes encamados, o en sillas de ruedas (AU)

Reduction of serum lipids by soy protein and soluble fiber is not associated with the ABCG5/G8, apolipoprotein E, and apolipoprotein A1 polymorphisms in a group of hyperlipidemic Mexican subjects.

Several studies have evaluated the effect of soy protein or soluble fiber on serum cholesterol in hypercholesterolemic subjects, with different results. We hypothesized that this response is associated with the presence of polymorphisms in genes encoding proteins involved in lipoprotein metabolism or reverse cholesterol transport. Thus, the aims of the present work were to study the effectiveness of a dietary portfolio consisting of a combination of soy protein and soluble fiber integrated in a low saturated fat (LSF) diet on blood lipids in a Mexican group with hyperlipidemia and to determine the association between responsiveness to the diet and the frequency of apolipoprotein (Apo) E and ApoA1 and ABCG5/8 polymorphisms. Forty-three hyperlipidemic subjects (20 men and 23 women) were given an LSF diet for 1 month, followed by an LSF diet that included 25 g of soy protein and 15 g of soluble fiber daily for 2 months. After the 3-month dietary intervention, serum total cholesterol (TC) significantly decreased by 20.6%, and serum triglycerides (TGs) decreased by 40.4%. Fifty-one percent of the subjects had a reduction more than 20% in serum TC, and 77% of the subjects had a reduction more than 20% in serum TG (hyperresponders). Approximately 14% of the hypercholesterolemic subjects had the ABCG8 (52 G/C) polymorphism, 65% had the ABCG5 (1950 C/G and G/G) polymorphism, 53.5% had the ApoA1 (-75 G/A and A/A) polymorphism, and 23.3% had the ApoE (3/4) polymorphism. Independently of genotype, the combination of cholesterol-lowering foods in an LSF diet significantly reduced serum TC and TG in Mexican hypercholesterolemic subjects.