ABSTRACT
Introduction Nutritional support in patients with COVID19 can influence the mean stay and complications in the patient in Intensive Care Unit (ICU). Aims To evaluate the selection of enteral nutritional treatment in the COVID-19 patient admitted to the ICU. To Know the development of dysphagia and its treatment. To evaluate the adjustment to the requirements and its relationship with the patient's complications. Material and Methods One-center longitudinal retrospective study in 71 patients admitted to the ICU with COVID19 infection and complete enteral nutrition between March and April 2020. Clinical variables were collected: length of stay in ICU, mean stay and rate of complications;and estimated anthropometric variables. Results The mean age was 61.84 (13.68) years. Among the patients analyzed, 33 (46.5%) died. The median stay in the ICU was 20 (15.75-32) days and the mean stay was 37 (26.75-63) days. The type of formula most prescribed was normoprotein 24 (35.3%) and diabetes-specific 23 (33.8%) depending on the prescribed formula. There was no difference in mean stay (p = 0.39) or death rate (p = 0.35). The percentage of achievement of the estimated protein requirements was 50 (34.38-68.76)%. At discharge, 8 (21%) of the patients had dysphagia. A relationship was observed between the mean ICU stay and the probability of developing dysphagia (OR: 1.035 (1.004-1.07);p = 0.02). Conclusions In the patient with COVID19 disease admitted to the ICU, only half of the necessary protein requirements were reached. The presence of dysphagia at discharge was related to the length of time the patient was in the ICU.
ABSTRACT
INTRODUCTION: Nutritional support in patients with COVID19 can influence the mean stay and complications in the patient in Intensive Care Unit (ICU). AIMS: To evaluate the selection of enteral nutritional treatment in the COVID-19 patient admitted to the ICU. To know the development of dysphagia and its treatment. To evaluate the adjustment to the requirements and its relationship with the patient's complications. MATERIAL AND METHODS: One-center longitudinal retrospective study in 71 patients admitted to the ICU with COVID19 infection and complete enteral nutrition between March and April 2020. Clinical variables were collected: length of stay in ICU, mean stay and rate of complications; and estimated anthropometric variables. RESULTS: The mean age was 61.84 (13.68) years. Among the patients analyzed, 33 (46.5%) died. The median stay in the ICU was 20 (15.75-32) days and the mean stay was 37 (26.75-63) days. The type of formula most prescribed was normoprotein 24 (35.3%) and diabetes-specific 23 (33.8%) depending on the prescribed formula. There was no difference in mean stay (pâ¯=â¯0.39) or death rate (pâ¯=â¯0.35). The percentage of achievement of the estimated protein requirements was 50 (34.38-68.76). At discharge, 8 (21%) of the patients had dysphagia. A relationship was observed between the mean ICU stay and the probability of developing dysphagia (OR: 1.035 (1.004-1.07); pâ¯=â¯0.02). CONCLUSIONS: In the patient with COVID19 disease admitted to the ICU, only half of the necessary protein requirements were reached. The presence of dysphagia at discharge was related to the length of time the patient was in the ICU.
ABSTRACT
Introduction: Nutritional support in patients with COVID-19 can influence the mean stay and complications in the patient in Intensive Care Unit (ICU). Aims: To evaluate the selection of enteral nutritional treatment in the COVID-19 patient admitted to the ICU. To know the development of dysphagia and its treatment. To evaluate the adjustment to the requirements and its relationship with the patient's complications. Material and methods: One-center longitudinal retrospective study in 71 patients admitted to the ICU with COVID-19 infection and complete enteral nutrition between March and April 2020. Clinical variables were collected: length of stay in ICU, mean stay and rate of complications; and estimated anthropometric variables. Results: The mean age was 61.84 (13.68) years. Among the patients analyzed, 33 (46.5%) died. The median stay in the ICU was 20 (15.75-32) days and the mean stay was 37 (26.75-63) days.The type of formula most prescribed was normoprotein 24 (35.3%) and diabetes-specific 23 (33.8%). Depending on the prescribed formula, there was no difference in mean stay (p = 0.39) or death rate (p = 0.35). The percentage of achievement of the estimated protein requirements was 50% (34.38-68.76).At discharge, 8 (21%) of the patients had dysphagia. A relationship was observed between the mean ICU stay and the probability of developing dysphagia (OR: 1.035 (1.004-1.07); p = 0.02). Conclusions: In the patient with COVID-19 disease admitted to the ICU, only half of the necessary protein requirements were reached. The presence of dysphagia at discharge was related to the length of time the patient was in the ICU.
ABSTRACT
INTRODUCTION: Objective: the COVID-19 pandemic, by restricting population mobility, may exacerbate the risk factors for weight gain associated with physical inactivity and increased consumption of calorie-dense foods. The aim of this cross-sectional study was to evaluate the risk factors related to self-reported body weight gain among obese subjects. Methods: the study involved a population of 284 adult obese subjects. After a 7-week confinement period starting on March 17, a telephone interview (May 4 through 7) was conducted. In this phone call, self-reported body weight gain and a number of factors were recorded. In order to obtain the baseline data of this population, biochemical and anthropometric parameters were collected from electronic medical records. Results: mean age was 60.4 ± 10.8 years (range: 23-71) and mean body mass index (BMI) was 35.4 ± 4.7 kg/m2 (range: 30.6-41.2). Gender distribution was 211 females (74.3 %) and 73 males (25.7 %). Self-reported body weight gain was 1.62 ± 0.2 kg. Among patients who reported doing a lot of exercise self-reported body weight gain was lower (1.62 ± 0.2 vs 1.12 ± 0.3 kg; p = 0.02). Regarding eating habits, patients recognized snacking in 17 % of the sample. Patients who reported snacking had higher self-reported body weight gains (2.60 ± 0.36 vs 1.30 ± 0.17 kg; p = 0.001). The remaining variables did not influence self-reported body weight gain. In the multiple regression analysis with self-reported body weight gain as dependent variable, adjusted for age, sex, and physical activity, the snaking habit remained a risk factor: beta = 1.21 (95 % CI: 1.11-2.13; p = 0.01). Conclusions: the lockdown decreed during SARS-CoV-2 pandemic has produced an increase in self-reported body weight among obese subjects, which was related to the habit of taking snacks.
INTRODUCCIÓN: Objetivo: la pandemia de COVID-19, al restringir la movilidad de la población, podría exacerbar los factores de riesgo del aumento de peso asociados a la inactividad física y un mayor consumo de alimentos ricos en calorías. El objetivo de este estudio transversal fue evaluar los factores de riesgo relacionados con el aumento de peso corporal autoinformado entre sujetos obesos. Métodos: el estudio incluyó una muestra de 284 sujetos obesos adultos. Después de un período de reclusión de 7 semanas a partir del 17 de marzo, se realizó una entrevista telefónica (del 4 al 7 de mayo). En esta llamada telefónica se registraron el aumento de peso corporal autoinformado y diferentes factores asociados. Para obtener los datos basales de esta población, se registraron parámetros bioquímicos y antropométricos a partir de la historia clínica electrónica. Resultados: la edad media fue de 60,4 ± 10,8 años (rango: 23-71) y el índice de masa corporal (IMC) medio de 35,4 ± 4,7 kg /m2 (rango: 30,6-41,2). La distribución por géneros fue de 211 mujeres (74,3 %) y 73 hombres (25,7 %). El aumento de peso corporal autoinformado fue de 1,62 ± 0,2 kg. Los pacientes que reconocieron que hacían mucho ejercicio informaron de que la ganancia de peso corporal había sido menor (1,62 ± 0,2 vs 1,12 ± 0,3 kg; p = 0,02). En cuanto a los hábitos alimentarios, los pacientes reconocieron practicar el picoteo en el 17 % de la muestra. Los pacientes que reconocieron picar entre horas presentaron una mayor ganancia de peso corporal autoinformada (2,60 ± 0,36 vs 1,30 ± 0,17 kg; p = 0,001). Las demás variables no influyeron en el aumento de peso corporal autoinformado. En el análisis de regresión múltiple, con la ganancia de peso corporal autoinformada como variable dependiente y ajuste de edad, sexo y actividad física, el hábito del picoteo permaneció como factor de riesgo: beta = 1,21 (IC 95 %: 1,11-2,13; p = 0,01). Conclusiones: el encierro decretado durante la pandemia por el SARS-CoV-2 ha producido un aumento del peso corporal autoinformado en los sujetos obesos y este se ha relacionado con el hábito de picar entre horas.