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Comparison of resting energy expenditure in bronchopulmonary dysplasia to predicted equation
1Unité de Gastroentérologie, Hépatologie et Nutrition, Clinique de Pédiatrie, Hôpital Jeanne de Flandre, Lille, France.
Insights
Resting energy expenditure (REE) prediction equations can help manage growth failure in children with bronchopulmonary dysplasia (BPD). The Harris-Benedict equation accurately estimated REE in BPD children, aiding nutritional support.
Area of Science:
- Pediatric Nutrition
- Respiratory Medicine
- Metabolic Research
Background:
- Children with bronchopulmonary dysplasia (BPD) often experience growth failure due to altered energy balance and increased resting energy expenditure (REE).
- Accurate REE evaluation is crucial for effective nutritional management in these children.
- Indirect calorimetry, the gold standard for REE measurement, is complex and time-consuming.
Purpose of the Study:
- To assess the accuracy of various prediction equations for estimating REE in children with BPD.
- To compare the performance of four established REE prediction equations against indirect calorimetry.
Main Methods:
- Fifty-two children (aged 4-10 years) diagnosed with BPD and 30 healthy children were included.
- Indirect calorimetry was used as the reference method to measure REE.
- Four prediction equations (Schofield-W, Schofield-HW, Harris-Benedict, and FAO) were evaluated using Bland-Altman analysis.
Main Results:
- The Harris-Benedict equation demonstrated the best agreement for predicting REE in children with BPD (mean difference: 15 kcal/day).
- For healthy children, the Schofield-W equation showed the best agreement (mean difference: -2.9 kcal/day).
- Prediction equations offer a practical alternative to indirect calorimetry, with minimal differences in outcomes.
Conclusions:
- Prediction equations can be a valuable tool for managing REE in children with BPD.
- The Harris-Benedict equation is recommended for estimating REE in pediatric BPD patients.
- These equations simplify the nutritional assessment process for children with chronic lung disease.
Objective:
Children with bronchopulmonary dysplasia (BPD) often suffer from growth failure because of disturbances in energy balance with an increase of resting energy expenditure (REE). Evaluation of REE is a useful tool for nutritional management. Indirect calorimetry is an elective method for measuring REE, but it is time consuming and requires rigorous procedure. The objective of this study was to test accuracy of prediction equation to evaluate REE in BPD children.
Patients And Methods:
Fifty-two children aged 4-10 years with BPD (30 boys and 22 girls) and 30 healthy lean children (20 boys and 10 girls) were enrolled. In this study, indirect calorimetry was compared to four prediction equations (Schoffield-W, Schoffield-HW, Harris-Benedict and Food and Agriculture Organization equation) using Bland-Altman pair wise comparison.
Results:
The Harris-Benedict equation was the best equation to predict REE in children with BPD, and Schoffield-W was the best in healthy children. For the children with chronic lung disease of prematurity the Harris-Benedict equation showed the lowest mean predicted REE-REE measured by indirect calorimetry difference (difference = 15 kcal/day; limits of agreement -266 and 236 kcal/day; 95% confidence interval for the bias -207 to 177 kcal/day), and graphically, the best agreement. For the group of healthy children, it was the Schofield-W equation (-2.9 kcal/day; limits of agreement -275 and 269 kcal/day; 95% confidence interval for the bias -171 to 165 kcal/day), and graphically, the best agreement.
Conclusion:
Differences in prediction equation are minimal compared to calorimetry. Prediction equation could be useful in the management of children with BPD.
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