title: Energy requirements and the use of predictive equations versus indirect calorimetry in critically ill patients.
abstract: Nutrition support has been shown to have a positive impact on critically ill patients who meet their defined goals of nutrition therapy. However, inappropriate energy assessment can contribute to under- or overfeeding resulting in deleterious effects. Thus, assessment of energy expenditure in critically ill patients is crucial to prevent negative impacts from inappropriate feeding. Currently, the optimal energy requirement and appropriate energy assessment in these patients is controversial. Indirect calorimetry or predictive equations have been suggested to evaluate energy expenditure in critically ill patients. Indirect calorimetry is a gold standard for evaluating energy expenditure, but it is not always available and has some limitations. Many predictive equations, therefore, have been developed to predict energy expenditure in critically ill patients. However, these equations cannot be used generally in these patients since they were developed in a unique patient population. Many studies compared measured energy expenditure with predictive energy expenditure, but the data regarding accuracy is not robust. Therefore, clinicians should consider using these equations carefully based on the current supporting data. Indirect calorimetry is recommended for use in evaluating energy expenditure in critically ill patients if it is available.
authors.affiliation: a Division of Gastroenterology, Royal Alexandra Hospital, University of Alberta, Edmonton, AB T5H 3V9, Canada.
authors.forename: Sanit
authors.initials: S
authors.lastname: Wichansawakun
authors.forename: Liisa
authors.initials: L
authors.lastname: Meddings
authors.forename: Cathy
authors.initials: C
authors.lastname: Alberda
authors.forename: Sarah
authors.initials: S
authors.lastname: Robbins
authors.forename: Leah
authors.initials: L
authors.lastname: Gramlich
mesh_terms: D002153:Calorimetry, Indirect; D003422:Critical Care / Q000379:methods*; D016638:Critical Illness; D002149:Energy Intake / Q000502:physiology*; D004734:Energy Metabolism / Q000502:physiology*; D006801:Humans; D009751:Nutritional Requirements / Q000502:physiology*
keywords: ICU patients; dépense énergétique; dépense énergétique mesurée; energy expenditure; measured energy expenditure; patients aux soins intensifs; predictive energy expenditure; équations de prédiction de la dépense énergétique