Abstract:

BACKGROUND: Indirect calorimetry is the most accrurcy in determinating resting energy expenditure in clinic. Becase of equipment deficiency, it often demands to select predictive equations to calculate resting energy expenditure. There is no final coclusion about any predictive equations that its value of calculation is the most near that of indirect calorimetry. When make use of predictive equations, it is constantly hotspot of clinical nutrition in using ideal body weight or using current body weight.
OBJECTIVE: To investigate the accuracy of predictive resting energy expenditure and the meaning of indirect calorimetry, and whether it can increase the accuracy of predictive equations by the implement of ideal body weight by comparing the difference between predictive resting energy expenditure and measured resting energy expenditure by indirect calorimetry.
METHODS: Twenty-seven healthy subjects (13 males, 14 females) were measured indirect calorimetry for the determination of resting energy expenditure by use of ultima PFX Metabolic Cart between 8:30 am and 11:00 am. And male or female ideal body weight were calculated with Broca or Broca Meliorated Equations respectively, then two different predictive resting energy expenditures by use of ideal body weight or current body weight and Harris-Benedict, Schofield, WHO, Owen, Mifflin or Liu’s equations were estimated. Eventually, the difference of measured resting energy expenditure and predictive resting energy expenditure, and the accuracy of the two difference predictive resting energy expenditure by use of ideal body weight and current body weight were compared.
RESULTS AND CONCLUSION: For male, all predictive resting energy expenditures were no significantly differences of measured resting energy expenditure (P > 0.05); but for female, predictive resting energy expenditure was significantly lower than measured resting energy expenditure with Liu’s and Owen (P < 0.05). For female, predictive resting energy expenditure with ideal body weight was significantly higher than that with current body weight for all predictive equations (P < 0.05 or P < 0.01), but for males there were no difference (P > 0.05). The accuracy of Harris-Benedict, WHO and Schofield was 62.96%. So we suggest that it can not select predictive equations to estimate resting energy expenditure for healthy individuals, but Harris-Benedict, WHO and Schofield equations may be used in the absence of indirect calorimetry.