Please use this identifier to cite or link to this item:http://hdl.handle.net/20.500.12105/20175
Title
A simplified equation for total energy expenditure in mechanically ventilated critically ill patients
Author(s)
Date issued
2015-09
Citation
Raurich Puigdevall JM, Llompart Pou JA, Ferreruela Serlavos M, Riera Sagrera M, Homar J, Marse P, et al. A simplified equation for total energy expenditure in mechanically ventilated critically ill patients. Nutr Hosp. 2015 Sep;32(3):1273-80.
Language
Inglés
Document type
research article
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 Calorimet. 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/m(2)): 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.
Subject
Total energy expenditure | Resting energy expenditure | Critically ill patients | Mechanical ventilation
MESH
Aged | Energy Intake | Energy Metabolism | Adult | Humans | Algorithms | Calorimetry, Indirect | Middle Aged | Male | Software Design | Critical Illness | Female | Body Mass Index | Models, Statistical | Respiration, Artificial | Reproducibility of Results | Retrospective Studies
DECS
Índice de Masa Corporal | Modelos Estadísticos | Reproducibilidad de los Resultados | Enfermedad Crítica | Diseño de Software | Femenino | Masculino | Calorimetría Indirecta | Metabolismo Energético | Humanos | Persona de Mediana Edad | Algoritmos | Ingestión de Energía | Anciano | Estudios Retrospectivos | Adulto | Respiración Artificial
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