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Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes

BACKGROUND: Indirect calorimetry is the reference method for measuring resting energy expenditure (REE), but the necessary equipment and technical expertise are not always available. Meanwhile, the NUTrition Risk in the Critically ill (NUTRIC) scale is designed to identify patients who would benefit...

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Autores principales: Sobhy, Elham, Kader, Radwa Abdel, Aboulfotouh, Alshaimaa, Eshra, Mohammed, Sayed, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520770/
https://www.ncbi.nlm.nih.gov/pubmed/34690491
http://dx.doi.org/10.1186/s43162-021-00060-1
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author Sobhy, Elham
Kader, Radwa Abdel
Aboulfotouh, Alshaimaa
Eshra, Mohammed
Sayed, Mohamed
author_facet Sobhy, Elham
Kader, Radwa Abdel
Aboulfotouh, Alshaimaa
Eshra, Mohammed
Sayed, Mohamed
author_sort Sobhy, Elham
collection PubMed
description BACKGROUND: Indirect calorimetry is the reference method for measuring resting energy expenditure (REE), but the necessary equipment and technical expertise are not always available. Meanwhile, the NUTrition Risk in the Critically ill (NUTRIC) scale is designed to identify patients who would benefit from nutrition therapy, but no data are available regarding the association of NUTRIC scores with REE. Several predictive formulas are available as alternatives to indirect calorimetry for calculation of energy requirements, but they have not been compared in a homogeneous group of critically ill patients. The purpose of the study is to examine the correlations between energy expenditure and NUTRIC scores or patient outcomes, and to compare measured REE with estimations of energy expenditure. METHODS: In this observational, prospective study, indirect calorimetry was performed on 50 mechanically ventilated patients. Energy expenditure was also estimated with the bodyweight-based, Faisy–Fagon, and Penn-State PSU(m) equations. RESULTS: REE was higher in patients who survived treatment than in those who died, and was positively correlated with length of stay and duration of ventilation. NUTRIC scores did not correlate with REE. The Faisy–Fagon equation overestimated expenditure, whereas PSU(m) was unbiased and accurate. Calculations based on 25 kcal/kg bodyweight/day overestimated expenditure, whereas 23 kcal/kg/day produced unbiased estimates with greater accuracy than PSU(m). CONCLUSION: REE was positively associated with patient outcomes. Energy expenditure was accurately predicted by calculations of 23 kcal/kg bodyweight/day.
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spelling pubmed-85207702021-10-18 Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes Sobhy, Elham Kader, Radwa Abdel Aboulfotouh, Alshaimaa Eshra, Mohammed Sayed, Mohamed Egypt J Intern Med Research BACKGROUND: Indirect calorimetry is the reference method for measuring resting energy expenditure (REE), but the necessary equipment and technical expertise are not always available. Meanwhile, the NUTrition Risk in the Critically ill (NUTRIC) scale is designed to identify patients who would benefit from nutrition therapy, but no data are available regarding the association of NUTRIC scores with REE. Several predictive formulas are available as alternatives to indirect calorimetry for calculation of energy requirements, but they have not been compared in a homogeneous group of critically ill patients. The purpose of the study is to examine the correlations between energy expenditure and NUTRIC scores or patient outcomes, and to compare measured REE with estimations of energy expenditure. METHODS: In this observational, prospective study, indirect calorimetry was performed on 50 mechanically ventilated patients. Energy expenditure was also estimated with the bodyweight-based, Faisy–Fagon, and Penn-State PSU(m) equations. RESULTS: REE was higher in patients who survived treatment than in those who died, and was positively correlated with length of stay and duration of ventilation. NUTRIC scores did not correlate with REE. The Faisy–Fagon equation overestimated expenditure, whereas PSU(m) was unbiased and accurate. Calculations based on 25 kcal/kg bodyweight/day overestimated expenditure, whereas 23 kcal/kg/day produced unbiased estimates with greater accuracy than PSU(m). CONCLUSION: REE was positively associated with patient outcomes. Energy expenditure was accurately predicted by calculations of 23 kcal/kg bodyweight/day. Springer Berlin Heidelberg 2021-10-18 2021 /pmc/articles/PMC8520770/ /pubmed/34690491 http://dx.doi.org/10.1186/s43162-021-00060-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Sobhy, Elham
Kader, Radwa Abdel
Aboulfotouh, Alshaimaa
Eshra, Mohammed
Sayed, Mohamed
Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
title Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
title_full Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
title_fullStr Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
title_full_unstemmed Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
title_short Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
title_sort associations of measured resting energy expenditure with predictive equations, nutric score, and patient outcomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520770/
https://www.ncbi.nlm.nih.gov/pubmed/34690491
http://dx.doi.org/10.1186/s43162-021-00060-1
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