Abstract:
INTRODUCTION:"tight calorie control" concept arose to avoid over- and under-feeding of patients. OBJECTIVE:to describe and validate a simplified predictive equation of total energy expenditure (TEE) in mechanically ventilated critically ill patients. METHODS:this was a secondary analysis of measurements of TEE by indirect calorimetry in critically ill patients. Patients were allocated in a 2:1 form by a computer package to develop the new predictive equation TEE (prediction cohort) and the validation cohort. Indirect calorimetry was performed with three different calorimeters: the Douglas-bag, a metabolic computer and the CalorimetR. We developed a new TEE predictive equation using measured TEE (in kcal/kg/d) as dependent variable and as independent variables different factors known to influence energy expenditure: age, gender, body mass index (BMI) and type of injury. RESULTS:prediction cohort: 179 patients. Validation cohort: 91 patients. The equation was: TEEPE (kcal/Kg/d) = 33 - (3 x A) - (3 x BMI) - (1 x G). Where: A (age in years): ≤ 50 = 0; > 50 = 1. BMI (Kg/m2): 18.5 - 24.9 = 0; 25 - 29.9 = 1; 30 - 34.9 = 2; 35 - 39.9 = 3. G (gender): male = 0; female = 1. The bias (95% CI) was -0.1 (-1.0 - 0.7) kcal/kg/d and the limits of agreement (} 2SD) were -8.0 to 7.8 kcal/kg/d. Predicted TEE was accurate (within 85% to 115%) in 73.6% of patients. CONCLUSION:the new predictive equation was acceptable to predict TEE in clinical practice for most mechanically ventilated critically ill patients. :Introducción: el concepto de “control calorico estricto” surgio para evitar la excesiva y la deficiente nutricion de los pacientes. Objetivo: describir y validar una ecuacion simplificada para el calculo del gasto energetico total (GET) en pacientes criticos con ventilacion mecanica. Métodos: analisis secundario de las mediciones de GET por calorimetria indirecta en pacientes criticos. Los pacientes fueron asignados de forma 2:1 por un paquete estadistico; el primer grupo se empleo para desarrollar la nueva ecuacion predictiva del GET (grupo predictivo) y el segundo para validarla (grupo validacion). La calorimetria indirecta se realizo con tres calorimetros diferentes: la bolsa de Douglas, un computador metabolico y el equipo CalorimetR. Hemos desarrollado la nueva ecuacion predictiva del GET utilizando el GET medido (en kcal/kg/d), como variable dependiente, y como variables independientes los diferentes factores que influyen en el gasto energetico: edad, genero, indice de masa corporal (IMC) y tipo de lesion. Resultados: el grupo de prediccion incluyo 179 pacientes y el de validacion 91 pacientes. La ecuacion predictiva fue: GETEP = 33 - (3 x E) - (3 x IMC) - (1 x G). Donde: E (edad en anos): ≤ 50 = 0; > 50 = 1. IMC (kg / m2): 18,5- 24,9 = 0; 25-29,9 = 1; 30-34,9 = 2; 35-39,9 = 3. G (genero): hombre = 0; mujer = 1. El sesgo (IC del 95%) entre el GET medido y el predicho fue de -0,1 (-1,0 a 0,7) kcal/ kg/dia y los limites de acuerdo (} 2SD) fueron -8,0 a 7,8 kcal/kg/d. El GET por la ecuacion predictiva fue preciso (entre el 85% y el 115%) en el 73,6% de los pacientes. Conclusiones: La nueva ecuacion predictiva fue aceptable para predecir el GET de la mayoria de pacientes criticos con ventilacion mecanica en la practica clinica.
journal_name
Nutr Hospjournal_title
Nutricion hospitalariaauthors
Raurich JM,Llompart-Pou JA,Ferreruela M,Riera M,Homar J,Marsé P,Colomar A,Ayestarán Idoi
10.3305/nh.2015.32.3.9359subject
Has Abstractpub_date
2015-09-01 00:00:00pages
1273-80issue
3eissn
0212-1611issn
1699-5198journal_volume
32pub_type
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pub_type: 临床试验,杂志文章,随机对照试验
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