A Single-Center Prospective Observational Study Comparing Resting Energy Expenditure in Different Phases of Critical Illness

2020 ◽  
Vol 48 (5) ◽  
pp. e380-e390
Author(s):  
Pei Chien Tah ◽  
Zheng-Yii Lee ◽  
Bee Koon Poh ◽  
Hazreen Abdul Majid ◽  
Vineya-Rai Hakumat-Rai ◽  
...  
Keyword(s):  
Critical Illness ◽  
Energy Expenditure ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Resting Energy Expenditure ◽  
Single Center ◽  
Resting Energy

Resting Energy Expenditure Early after Cardiac Surgery and Validity of Predictive Equations: A Prospective Observational Study

2021 ◽  
pp. 1-8
Author(s):  
Huijuan Ruan ◽  
Qingya Tang ◽  
Qi Yang ◽  
Fangwen Hu ◽  
Wei Cai
Keyword(s):  
Cardiac Surgery ◽  
Energy Expenditure ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Heart Surgery ◽  
Resting Energy Expenditure ◽  
Predictive Equations ◽  
First Choice ◽  
Significant Difference ◽  
Resting Energy

<b><i>Objective:</i></b> Several predictive equations have been used to estimate patients’ energy expenditure. The study aimed to describe the characteristics of resting energy expenditure (REE) in patients undergoing mechanical ventilation during early postoperative stage after cardiac surgery and evaluate the validity of 9 REE predictive equations. <b><i>Methods:</i></b> This was a prospective observational study. Patients aged 18–80 years old, undergone open-heart surgery, were enrolled between January 2017 and 2018. The measured REE (mREE) was evaluated via indirect calorimetry (IC). The predictive resting energy expenditure (pREE) was suggested by 9 predictive equations, including Harris-Benedict (HB), HB coefficient method, Ireton-Jones, Owen, Mifflin, Liu, 25 × body weight (BW), 30 × BW, and 35 × BW. The association between mREE and pREE was assessed by Pearson’s correlation, paired <i>t</i> test, Bland-Altman method, and the limits of agreement (LOA). <b><i>Results:</i></b> mREE was related to gender, BMI, age, and body temperature. mREE was significantly correlated with pREE, as calculated by 9 equations (all <i>p</i> &#x3c; 0.05). There was no significant difference between pREE and mREE, as calculated by 30 × BW kcal/kg/day (<i>t</i> = 0.782, <i>p</i> = 0.435), while significant differences were noted between mREE and pREE calculated by other equations (all <i>p</i> &#x3c; 0.05). Taking the 30 × BW equation as a suitable candidate, most of the data points were within LOA, and the percentage was 95.6% (129/135). Considering the rationality of clinical use, accurate predictions (%) were calculated, and only 40.74% was acceptable. <b><i>Conclusions:</i></b> The 30 × BW equation is relatively acceptable for estimating REE in 9 predictive equations in the early stage after heart surgery. However, the IC method should be the first choice if it is feasible.

Resting energy expenditure and body composition in patients with head and neck cancer: An observational study leading to a new predictive equation

Nutrition ◽  
2018 ◽  
Vol 51-52 ◽  
pp. 60-65 ◽  
Author(s):  
Micheline Tereza Pires Souza ◽  
Pierre Singer ◽  
Gislaine Aparecida Ozorio ◽  
Vitor Modesto Rosa ◽  
Maria Manuela Ferreira Alves ◽  
...  
Keyword(s):  
Body Composition ◽  
Head And Neck Cancer ◽  
Energy Expenditure ◽  
Observational Study ◽  
Head And Neck ◽  
Neck Cancer ◽  
Resting Energy Expenditure ◽  
Predictive Equation ◽  
Resting Energy

scholarly journals The Diagnostic-Measurement Method—Resting Energy Expenditure Assessment of Polish Children Practicing Football

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 340
Author(s):  
Edyta Łuszczki ◽  
Anna Bartosiewicz ◽  
Katarzyna Dereń ◽  
Maciej Kuchciak ◽  
Łukasz Oleksy ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Composition ◽  
Energy Expenditure ◽  
Muscle Mass ◽  
Indirect Calorimetry ◽  
Energy Demand ◽  
Body Height ◽  
Resting Energy Expenditure ◽  
Blood Pressure Monitor ◽  
Resting Energy

Establishing the amount of energy needed to cover the energy demand of children doing sport training and thus ensuring they achieve an even energy balance requires the resting energy expenditure (REE) to be estimated. One of the methods that measures REE is the indirect calorimetry method, which may be influenced by many factors, including body composition, gender, age, height or blood pressure. The aim of the study was to assess the correlation between the resting energy expenditure of children regularly playing football and selected factors that influence the REE in this group. The study was conducted among 219 children aged 9 to 17 using a calorimeter, a device used to assess body composition by the electrical bioimpedance method by means of segment analyzer and a blood pressure monitor. The results of REE obtained by indirect calorimetry were compared with the results calculated using the ready-to-use formula, the Harris Benedict formula. The results showed a significant correlation of girls’ resting energy expenditure with muscle mass and body height, while boys’ resting energy expenditure was correlated with muscle mass and body water content. The value of the REE was significantly higher (p ≤ 0.001) than the value of the basal metabolic rate calculated by means of Harris Benedict formula. The obtained results can be a worthwhile suggestion for specialists dealing with energy demand planning in children, especially among those who are physically active to achieve optimal sporting successes ensuring proper functioning of their body.

Sign in / Sign up

Export Citation Format

Share Document