• Christophe Faisy, Emmanuel Guerot, Jean-Luc Diehl, Jacques Labrousse, and Jean-Yves Fagon.
• Service de Réanimation Médicale, Hôpital Européen Georges Pompidou, Paris, France. christophe.faisy@wanadoo.fr
• Am. J. Clin. Nutr. 2003 Aug 1; 78 (2): 241-9.

BackgroundUsual equations for predicting resting energy expenditure (REE) are not appropriate for critically ill patients, and indirect calorimetry criteria render its routine use difficult.ObjectiveVariables that might influence the REE of mechanically ventilated patients were evaluated to establish a predictive relation between these variables and REE.DesignThe REE of 70 metabolically stable, mechanically ventilated patients was prospectively measured by indirect calorimetry and calculated with the use of standard predictive models (Harris and Benedict's equations corrected for hypermetabolism factors). Patient data that might influence REE were assessed, and multivariate analysis was conducted to determine the relations between measured REE and these data. Measured and calculated REE were compared by using the Bland-Altman method.ResultsMultivariate analysis retained 4 independent variables defining REE: body weight (r(2) = 0.14, P < 0.0001), height (r(2) = 0.11, P = 0.0002), minute ventilation (r(2) = 0.04, P = 0.01), and body temperature (r(2) = 0.07, P = 0.002): REE (kcal/d) = 8 x body weight + 14 x height + 32 x minute ventilation + 94 x body temperature - 4834. REE calculated with this equation was well correlated with measured REE (r(2) = 0.61, P < 0.0001). Bland-Altman plots showed a mean bias approaching zero, and the limits of agreement between measured and predicted REE were clinically acceptable.ConclusionOur results suggest that REE estimated on the basis of body weight, height, minute ventilation, and body temperature is clinically more relevant than are the usual predictive equations for metabolically stable, mechanically ventilated patients.

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