Document Detail

Accuracy of a simplified equation for energy expenditure based on bedside volumetric carbon dioxide elimination measurement - A two-center study.
MedLine Citation:
PMID:  24636151     Owner:  NLM     Status:  Publisher    
BACKGROUND & AIMS: Accurate 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.
METHODS: We 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.
RESULTS: Mean 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%).
CONCLUSIONS: A 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.
Nilesh M Mehta; Craig D Smallwood; Koen F M Joosten; Jessie M Hulst; Robert C Tasker; Christopher P Duggan
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-2-26
Journal Detail:
Title:  Clinical nutrition (Edinburgh, Scotland)     Volume:  -     ISSN:  1532-1983     ISO Abbreviation:  Clin Nutr     Publication Date:  2014 Feb 
Date Detail:
Created Date:  2014-3-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8309603     Medline TA:  Clin Nutr     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
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