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The effect of age and body mass index on energy expenditure of critically ill medical patients

Authors :
Hölzel, Christin
Weidhase, Lorenz
Petros, Sirak
Source :
European Journal of Clinical Nutrition. March 2021, Vol. 75 Issue 3, p464, 9 p.
Publication Year :
2021

Abstract

Author(s): Christin Hölzel [sup.1] , Lorenz Weidhase [sup.1] , Sirak Petros [sup.1] Author Affiliations: (1) Medical ICU, University Hospital Leipzig, Leipzig, Germany Introduction Defining the optimal energy requirement of the [...]<br />Background Data on the influence of age and body mass index (BMI) on energy metabolism of the critically ill are heterogeneous. Due to the increasingly aging critically ill population, investigation on age- and BMI-specific energy metabolism is relevant. Methods A total of 394 indirect calorimetry measurements were conducted on 348 critically ill adult medical patients, including 46 repeat measurements after 3.6 [plus or minus] 4.3 days. Measured resting energy expenditure (MREE) was compared for age groups, BMI, and gender. Predicted energy expenditure (PEE) using the Penn State, Swinamer, and Ireton-Jones equations and the ACCP recommendations was also compared with MREE. Results The patients were 65.6 [plus or minus] 14.5 years old. Their mean Acute Physiology and Chronic Health Evaluation II score was 27.6 [plus or minus] 7.8. Mean BMI was 27.8 [plus or minus] 8.4 kg/m.sup.2, and 25.6% were obese. MREE adjusted for ideal body weight decreased with increasing age, while it increased with increasing BMI. Age, BMI, and gender are independent determinants of MREE after adjusting for clinical factors (R.sup.2 = 0.34). All four prediction equations showed a proportional bias, with the Penn State equation performing acceptably. In 46 patients with repeat indirect calorimetry, there was no significant difference between the first and second MREE (p = 0.62). Conclusions Age, BMI, and gender are independent determinants of resting energy expenditure in critically ill adults. Variations between measured and predicted energy expenditure are considerable. Should prediction equations be used, their performance in the specific population should be taken into consideration. Repeat indirect calorimetry may not always be necessary. However, this may depend on the length of stay and the extent of stress.

Details

Language :
English
ISSN :
09543007
Volume :
75
Issue :
3
Database :
Gale General OneFile
Journal :
European Journal of Clinical Nutrition
Publication Type :
Academic Journal
Accession number :
edsgcl.655716580
Full Text :
https://doi.org/10.1038/s41430-020-00747-8