ArticleClinical nutrition (Edinburgh, Scotland)2015
Accuracy of a simplified equation for energy expenditure based on bedside volumetric carbon dioxide elimination measurement--a two-center study.
Article in Clinical nutrition (Edinburgh, Scotland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review.Frontiers in pediatrics · 2021Pooled it
- Energy, Protein, Carbohydrate, and Lipid Intakes and Their Effects on Morbidity and Mortality in Critically Ill Adult Patients: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2017Pooled it
- Chronic and Postprandial Metabolic Responses to a Ketogenic Diet Compared to High-Carbohydrate and Habitual Diets in Trained Competitive Cyclists and Triathletes: A Randomized Crossover Trial.International journal of environmental research and public health · 2023Trial
- Trial
- Energy expenditure measurement in critical care: Implications for personalized nutrition support.World journal of critical care medicine · 2025Article
- The Impact of Protein Feed on the Urea-to-Creatinine Ratio-A Retrospective Single-Center Study.Nutrients · 2025Article
- OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases.Communications biology · 2023Article
- Monitoring energy balance through clinical and serum biomarkers in patients with hematologic malignancies undergoing chemotherapy.Annals of hematology · 2022Article
- The energetic cost of allostasis and allostatic load.Psychoneuroendocrinology · 2022Article
- Energy expenditure in COVID-19 mechanically ventilated patients: A comparison of three methods of energy estimation.JPEN. Journal of parenteral and enteral nutrition · 2022Article
- External Validation with Accuracy Confounders of VCONutrients · 2022Article
- Article
- Resting Energy Expenditure of Patients on Venovenous Extracorporeal Membrane Oxygenation for Adult Respiratory Distress Syndrome: A Pilot Study.Critical care explorations · 2022Article
- A methodological and clinical approach to measured energy expenditure in the critically ill pediatric patient.Frontiers in pediatrics · 2022Review
- Artificial Neural Network Algorithms to Predict Resting Energy Expenditure in Critically Ill Children.Nutrients · 2021Article
- An Unobstructive Sensing Method for Indoor Air Quality Optimization and Metabolic Assessment within Vehicles.Sensors (Basel, Switzerland) · 2020Article
- Methods for Estimating Energy Expenditure in Critically Ill Adults.AACN advanced critical care · 2020Article
- Nutritional support for children during critical illness: European Society of Pediatric and Neonatal Intensive Care (ESPNIC) metabolism, endocrine and nutrition section position statement and clinical recommendations.Intensive care medicine · 2020Review
- A Comparative Analysis of Equations to Estimate Patient Energy Requirements Following Cardiopulmonary Bypass for Correction of Congenital Heart Disease.JPEN. Journal of parenteral and enteral nutrition · 2020Article
- Heterogeneity of endometriosis lesions requires individualisation of diagnosis and treatment and a different approach to research and evidence based medicine.Facts, views & vision in ObGyn · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
BACKGROUND &
aimsAccurate assessment of resting energy expenditure (REE) and metabolic state is essential to optimize nutrient intake in critically ill patients. We aimed to examine the accuracy of a simplified equation for predicting REE using carbon dioxide elimination (VCO2) values.
methodsWe conducted a two-center study of metabolic data from mechanically ventilated children less than 18 years of age. Mean respiratory quotient (RQ) from the derivation set (n = 72 subjects) was used to modify the Weir equation to obtain a simplified equation based on VCO2 measurements alone. This equation was then applied to subjects at the second institution (validation dataset, n = 94) to predict resting energy expenditure. Bland-Altman analysis was used to assess the agreement between measured REE values, and REE estimated by the new equation as well as the Schofield equation. We also examined the accuracy of the new equation in classifying patients according to their metabolic state.
resultsMean respiratory quotient (± SD) of 0.89 ± 0.09 in the derivation set was used to obtain a simplified equation, REE (kcal/day) = 5.534*VCO2 (L/min)*1440. In relation to the measured REE in the validation set, the mean bias (limits of agreement) for the REE predicted by this equation was -0.65% (-14.4-13.1%); and the overall diagnostic accuracy for classifying subjects as hypometabolic or hypermetabolic was 84%. Mean bias (limits) of agreement between measured and Schofield equation estimated REE was -0.1% (-40.5-40.7%).
conclusionsA simplified metabolic equation using VCO2 values was superior to the standard equation in estimating REE, and provided a reasonably accurate metabolic classification in mechanically ventilated children. In the absence of indirect calorimetry, bedside VCO2 monitoring could provide valuable continuous metabolic information to guide optimal nutrient intake.
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