title: A SIMPLIFIED EQUATION FOR TOTAL ENERGY EXPENDITURE IN MECHANICALLY VENTILATED CRITICALLY ILL PATIENTS.
abstract: BACKGROUND
  "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.
  
  
  CONCLUSIONS
  the new predictive equation was acceptable to predict TEE in clinical practice for most mechanically ventilated critically ill patients.
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Joan Maria
authors: JM
authors: Raurich
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Juan Antonio
authors: JA
authors: Llompart-Pou
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Mireia
authors: M
authors: Ferreruela
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Maria
authors: M
authors: Riera
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Javier
authors: J
authors: Homar
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Pere
authors: P
authors: Marsé
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Asunción
authors: A
authors: Colomar
authors: Servei de Medicina Intensiva. Hospital Universitari Son Espases, Palma de Mallorca. Illes Balears (Spain).. joan.raurich@ssib.es.
authors: Ignacio
authors: I
authors: Ayestarán
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D015992:Body Mass Index; D002153:Calorimetry, Indirect; D016638:Critical Illness / Q000628:therapy; D002149:Energy Intake; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015203:Reproducibility of Results; D012121:Respiration, Artificial; D012189:Retrospective Studies; D012985:Software Design