Objectives: to compare the accuracy among the resting energy expenditure (REE) calculated by using prediction equations by Harris – Benedict (H-B), Harris – Benedict with stress factor 1.2 (H-Bx1.2), Penn State 2003 (PS2003), 25kcal/kg and 30 kcal/kg versus REE measured by indirect calorimetry (IC).
Patients: 40 mechanically ventilated patients from the Emergency Department at Bach Mai Hospital between April 2016 and October 2016.
Methods: a prospective observatory study. REE of all patients were measured by IC and compared with REE calculated by prediction equations. Pearson ratio was used to assess correlation between measured and calculated REE.
Results: the accuracy of the estimated equation was 37.5% (H-B); 35% (H-Bx1.2); 47.5% (PS2003); 25% (25kcal/kg); 32.5% (30 kcal/kg). Penn State 2003 was estimated accurately in 60% among female patients and 64.7% among patients with BMI<18.5. There was a proportional correlation between H-B and H-Bx1.2 (r=0.56; p<0.001) and PS2003 (r=0.48; p<0.001) and 25kcal/kg and 30 kcal/kg (r=0.48; p<0.001).
Conclusions: Among prediction equations vs IC, PS2003 had the highest accuracy and correlation, therefore, it should be the tool of choice on the critically ill patients who were female and/or whose BMI <18.5 where IC was not available.
Key words: Energy expenditure, indirect calorimetry, critically ill patients, prediction equations, invasive mechanical ventilation.