Ability to predict resting energy expenditure with six equations compared to indirect calorimetry in octogenarian men.

The accuracy of predictive equations for calculating resting energy expenditure (REE) in elderly people has been questioned. Aging is associated with progressive declines in REE, which partly is explained by loss of fat free mass (FFM). Against this background we aimed to identify the most accurate predictive equation for REE in octogenarian men, taking body composition into account and using indirect calorimetry as reference value. REE was measured in 22 men (mean age 82.6±0.3years) and compared with six predictive equations: two based on FFM and four based on body weight, height and/or age. FFM was derived from Dual-energy X-ray absorptiometry analyses. Spearman's rank correlations showed a moderate to high positive monotonic correlation (r=0.62 to 0.79) between measured and calculated REE (all p<0.005).The mean calculated REE was significantly different from measured REE for all equations except Mifflin-St Jeor. A calculated REE within 10% of measured REE was considered acceptable and the equations of Mifflin-St Jeor, WHO and Harris-Benedict captured 64%, 50% and 45% of the participant, respectively. The Mifflin-St Jeor equation had the lowest root mean square error (138kcal), followed by the equation by Harris-Benedict (189kcal) and WHO (220kcal). The equations from Luhrmann, Henry and Cunningham predicted REE rather poorly in our study subjects, with e.g. <40% of the individuals within 10% of measured REE. Our results indicate that the Mifflin-St Jeor equation (using FFM) is the most accurate equation estimating REE in these octogenarian men. Harris-Benedict or WHO equations are potential alternatives if information on FFM is unavailable, although their accuracy on an individual level is limited.

Karlsson M ，Olsson E ，Becker W ，Karlström B ，Cederholm T ，Sjögren P ... -  《-》

Predicting energy expenditure in extremely obese women.

Dobratz JR ，Sibley SD ，Beckman TR ，Valentine BJ ，Kellogg TA ，Ikramuddin S ，Earthman CP ... -  《JOURNAL OF PARENTERAL AND ENTERAL NUTRITION》

Which equation best predicts energy expenditure in amyotrophic lateral sclerosis?

The purpose of this study was to compare measured resting energy expenditure (REE) with estimates from three common prediction equations with the goal of determining which equation best estimates REE in amyotrophic lateral sclerosis (ALS). Cross-sectional measurements of REE from indirect calorimetry were compared to calculations from the Harris Benedict, Mifflin-St Jeor, and Ireton-Jones equations. Additional measurements to identify predictors of REE included pulmonary function tests, fat-free mass by bioelectrical impedance, and anthropometrics. Participants were 56 men and women with ALS. For comparison, subjects were categorized by disease progression into three groups. Pearson correlations and paired t tests were used to compare measured REE with predicted REE from each equation, and the accuracy of each equation was quantified by the root mean squared prediction error and the percentage of REE estimates within 10% of measured values. Bias for each equation was calculated as the mean percentage difference between calculated and measured REE. Multiple linear regression was used to determine the best predictor variables for REE. Across the disease spectrum, the Harris Benedict and Mifflin-St Jeor equations provided clinically acceptable estimates of REE, whereas the Ireton-Jones equations consistently overestimated REE. The best predictors of REE among this cohort were fat-free mass, sex, and age. When estimating energy requirements for patients with ALS, clinicians should choose prediction equations that incorporate sex and age as predictor variables, such as the Harris Benedict and Mifflin-St Jeor equations.

Ellis AC ，Rosenfeld J 《-》

Accurate determination of energy needs in hospitalized patients.

Boullata J ，Williams J ，Cottrell F ，Hudson L ，Compher C ... -  《journal of the american dietetic association》

Resting energy expenditure prediction using bioelectrical impedance analysis in patients with severe motor and intellectual disabilities.

Resting energy expenditure (REE) is expected to be lower in with severe motor and intellectual disabilities (SMID) patients than in healthy subjects because of their relatively low fat-free mass (FFM). Therefore, an REE predictive equation for SMID patients may be required. The aim of this study was to validate existing REE predictive weight-based equations (Harris-Benedict, WHO, Mifflin, Owen, Schofield) and FFM-based REE equations (Mifflin, Owen and Cunningham) and to develop a new SMID patient-specific FFM-based REE equation. Twenty-eight (22 males, 6 females) SMID patients over 18 years of age were included. The REE was measured using indirect calorimetry. FFM were measured using bioelectrical impedance analysis. A multiple linear regression analysis was used to develop a new FFM-based REE predictive equation. The accurate predictions compared the measured REE and root mean square error. The median measured REE was 950 (25th,75th percentile:712.75, 1102.75) kcal/day. The new FFM-based equation was as follows: REE (kcal/day) = 550.62 + 16.62 FFM (kg). The new FFM-based REE resulted in the highest percentage of accurate predictions within 10% of measured REE (42.9%). The root mean square errors were the smallest for the new FFM-based REE and largest for Harris-Benedict (91.00 and 185.22 kcal/day). For SMID patients, the REE cannot accurately be predicted using the existing weight-based REE equations. Furthermore, the existing FFM-based REE equations are less accurate with regard to the measured REE than the new FFM-based REE equation. The new FFM-based equation is advised for use in SMID patients.

Hashizume N ，Tanaka Y ，Yoshida M ，Fukahori S ，Ishii S ，Saikusa N ，Masui D ，Higashidate N ，Sakamoto S ，Tsuruhisa S ，Yuge K ，Ohya T ，Yagi M ，Yamashita Y ... -  《-》