2026-06-14T13:36:41Zhttps://repisalud.isciii.es/rest/oai/request
oai:repisalud.isciii.es:20.500.12105/201752024-11-28T17:57:18Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16961col_20.500.12105_16967
Repisalud author Raurich, Joan Maria author Llompart-Pou, Juan Antonio author Ferreruela Serlavos, Mireia author Riera Sagrera, Maria author Homar-Ramirez, Javier author Marse Milla, Pedro author Colomar Ferra, Maria Asuncion author Nicolau, Joana 2024-07-04T12:56:39Z 2024-07-04T12:56:39Z 2015-09 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. 10.3305/nh.2015.32.3.9359 1699-5198 0212-1611 Nutricion Hospitalaria http://hdl.handle.net/20.500.13003/17465 26319850 L614913797 2-s2.0-84940509477 http://hdl.handle.net/20.500.12105/20175 362925300043 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. eng Total energy expenditure Resting energy expenditure Critically ill patients Mechanical ventilation A simplified equation for total energy expenditure in mechanically ventilated critically ill patients research article