Related Experiment Videos
Estimating resting energy expenditure by simple lean-body-mass indicators in children on total parenteral nutrition
J S Salas1, E Moukarzel, E Dozio
1Unité de Réanimation Digestive et d'Assistance Nutritive, Hôpital Necker, Paris, France.
Insights
Accurate resting energy expenditure (REE) in children can be predicted using lean body mass (LBM) or urinary creatinine levels. These factors offer a more precise estimation of REE compared to traditional weight-based methods.
Area of Science:
- Pediatric Nutrition
- Metabolic Research
- Biomarker Analysis
Background:
- Resting energy expenditure (REE) is crucial for understanding a child's metabolic state.
- Accurate REE prediction is vital for appropriate nutritional management in pediatric populations.
- Traditional methods using weight or height may not fully capture metabolic variations in children.
Purpose of the Study:
- To identify simple predictive factors for resting energy expenditure (REE) in children.
- To develop a more accurate equation for estimating REE in diverse pediatric nutritional states.
Main Methods:
- Two groups of children were defined based on weight-for-height index.
- Measurements included anthropometry for lean body mass (LBM), 24-hour urinary creatinine, and REE.
- Multiple regression analysis was employed to establish predictive equations.
Main Results:
- A highly significant predictive equation for REE was developed using LBM and urinary creatinine (r = 0.987, p < 0.0001).
- Equations based on LBM or creatinine showed no significant difference between the defined groups.
- Predictive accuracy for REE was superior using LBM or creatinine compared to weight-based methods.
Conclusions:
- Lean body mass (LBM) and 24-hour urinary creatinine excretion are reliable predictors of REE in children.
- These biomarkers provide a more accurate estimation of REE across various nutritional statuses than conventional methods.
- The proposed equation offers a valuable tool for assessing pediatric energy metabolism.
Abstract:
The aim of this study was to determine simple predictive factors of the resting energy expenditure (REE) in children. Two groups, A (n = 14) and B (n = 23), were defined by their weight-for-height index, less than 90% and greater than 90%, respectively. Anthropometrically assessed lean body mass (LBM), 24-h urinary creatinine, and REE were measured. From multiple-regression analysis, the best-fitting equation for calculating REE (REE = 54.4 LBM (kg) + 0.095 creatinine (mmol/kg) + 4.7) was highly significant (r = 0.987, p less than 0.0001). Although the regressions of REE on weight were significantly different between the two groups, the equations using LBM or 24-h urinary creatinine did not discriminate between them. These findings suggest that an equation based on LBM or 24-h urinary creatinine excretion could be a more accurate estimate of REE than are conventional methods based on weight or height, and it may be applicable to diverse nutritional states.