Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes
Abstract 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-10-01
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| Series: | The Egyptian Journal of Internal Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43162-021-00060-1 |
| _version_ | 1818575176069021696 |
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| author | Elham Sobhy Radwa Abdel Kader Alshaimaa Aboulfotouh Mohammed Eshra Mohamed Sayed |
| author_facet | Elham Sobhy Radwa Abdel Kader Alshaimaa Aboulfotouh Mohammed Eshra Mohamed Sayed |
| author_sort | Elham Sobhy |
| collection | DOAJ |
| description | Abstract 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 PSUm 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 PSUm 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 PSUm. Conclusion REE was positively associated with patient outcomes. Energy expenditure was accurately predicted by calculations of 23 kcal/kg bodyweight/day. |
| first_indexed | 2024-12-15T00:36:47Z |
| format | Article |
| id | doaj.art-31a76651b4244a07ad185e0902cfe703 |
| institution | Directory Open Access Journal |
| issn | 1110-7782 2090-9098 |
| language | English |
| last_indexed | 2024-12-15T00:36:47Z |
| publishDate | 2021-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | The Egyptian Journal of Internal Medicine |
| spelling | doaj.art-31a76651b4244a07ad185e0902cfe7032022-12-21T22:41:47ZengSpringerOpenThe Egyptian Journal of Internal Medicine1110-77822090-90982021-10-013311710.1186/s43162-021-00060-1Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomesElham Sobhy0Radwa Abdel Kader1Alshaimaa Aboulfotouh2Mohammed Eshra3Mohamed Sayed4Internal Medicine Department, KasrAlainy Cairo UniversityInternal Medicine Department, KasrAlainy Cairo UniversityNeurology Department, KasrAlainy Cairo UniversityPhysiology Department, KasrAlainy Cairo UniversityInternal Medicine Department, KasrAlainy Cairo UniversityAbstract 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 PSUm 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 PSUm 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 PSUm. Conclusion REE was positively associated with patient outcomes. Energy expenditure was accurately predicted by calculations of 23 kcal/kg bodyweight/day.https://doi.org/10.1186/s43162-021-00060-1REEIndirect calorimetryNUTRIC scoreWeight-based formulaPSUmFaisy–Fagon |
| spellingShingle | Elham Sobhy Radwa Abdel Kader Alshaimaa Aboulfotouh Mohammed Eshra Mohamed Sayed Associations of measured resting energy expenditure with predictive equations, NUTRIC score, and patient outcomes The Egyptian Journal of Internal Medicine REE Indirect calorimetry NUTRIC score Weight-based formula PSUm Faisy–Fagon |
| 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 | REE Indirect calorimetry NUTRIC score Weight-based formula PSUm Faisy–Fagon |
| url | https://doi.org/10.1186/s43162-021-00060-1 |
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