463: EVALUATION OF RESTING ENERGY EXPENDITURE IN PEDIATRIC PATIENTS FOLLOWING ECMO

2016 ◽  
Vol 44 (12) ◽  
pp. 192-192
Author(s):  
Michael Papacostas ◽  
Gerald Moody ◽  
Christopher Jenks ◽  
Vinai Modem ◽  
Elisabeth Lee ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Pediatric Patients ◽  
Resting Energy Expenditure ◽  
Resting Energy

RESTING ENERGY EXPENDITURE (REE) IN MECHANICALLY VENTILATED (MV) PEDIATRIC PATIENTS

1994 ◽  
Vol 22 (1) ◽  
pp. A156
Author(s):  
Jorge Coss-Bu ◽  
Larry Jefferson ◽  
William Klish ◽  
David Walding ◽  
Yadin David ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Pediatric Patients ◽  
Resting Energy Expenditure ◽  
Mechanically Ventilated ◽  
Resting Energy

Resting energy expenditure and nitrogen balance in critically ill pediatric patients on mechanical ventilation

Nutrition ◽  
1998 ◽  
Vol 14 (9) ◽  
pp. 649-652 ◽  
Author(s):  
Jorge A. Coss-Bu ◽  
Larry S. Jefferson ◽  
David Walding ◽  
Yadin David ◽  
E.O.’Brian Smith ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Energy Expenditure ◽  
Critically Ill ◽  
Nitrogen Balance ◽  
Pediatric Patients ◽  
Resting Energy Expenditure ◽  
Resting Energy

scholarly journals Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review

2021 ◽  
Vol 9 ◽  
Author(s):  
Jimena Fuentes-Servín ◽  
Azalia Avila-Nava ◽  
Luis E. González-Salazar ◽  
Oscar A. Pérez-González ◽  
María Del Carmen Servín-Rodas ◽  
...  
Keyword(s):  
Systematic Review ◽  
Energy Expenditure ◽  
Pediatric Patients ◽  
Assessment Tool ◽  
Pediatric Population ◽  
Resting Energy Expenditure ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Pediatric Populations ◽  
Resting Energy

Background and Aims: The determination of energy requirements is necessary to promote adequate growth and nutritional status in pediatric populations. Currently, several predictive equations have been designed and modified to estimate energy expenditure at rest. Our objectives were (1) to identify the equations designed for energy expenditure prediction and (2) to identify the anthropometric and demographic variables used in the design of the equations for pediatric patients who are healthy and have illness.Methods: A systematic search in the Medline/PubMed, EMBASE and LILACS databases for observational studies published up to January 2021 that reported the design of predictive equations to estimate basal or resting energy expenditure in pediatric populations was carried out. Studies were excluded if the study population included athletes, adult patients, or any patients taking medications that altered energy expenditure. Risk of bias was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.Results: Of the 769 studies identified in the search, 39 met the inclusion criteria and were analyzed. Predictive equations were established for three pediatric populations: those who were healthy (n = 8), those who had overweight or obesity (n = 17), and those with a specific clinical situation (n = 14). In the healthy pediatric population, the FAO/WHO and Schofield equations had the highest R2 values, while in the population with obesity, the Molnár and Dietz equations had the highest R2 values for both boys and girls.Conclusions: Many different predictive equations for energy expenditure in pediatric patients have been published. This review is a compendium of most of these equations; this information will enable clinicians to critically evaluate their use in clinical practice.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=226270, PROSPERO [CRD42021226270].

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.

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