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Tytuł:
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Age-dependent differences in energy metabolism in the acute phase of critical illness.
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Autorzy:
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Wewalka M; Medical University of Vienna, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Vienna, Austria. Electronic address: .
Schneeweiss M; Medical University of Vienna, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Vienna, Austria.
Haselwanter P; Medical University of Vienna, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Vienna, Austria.
Schneeweiss B; Department of Internal Medicine, KH Kirchdorf, Vienna, Austria.
Zauner C; Medical University of Vienna, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Vienna, Austria.
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Źródło:
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Nutrition (Burbank, Los Angeles County, Calif.) [Nutrition] 2022 Sep; Vol. 101, pp. 111684. Date of Electronic Publication: 2022 Apr 11.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Publication: Tarrytown, NY : Elsevier Science
Original Publication: [Burbank, Calif. : Nutrition, c1987-
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MeSH Terms:
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Critical Illness*
Energy Metabolism*/physiology
Basal Metabolism/physiology ; Body Mass Index ; Calorimetry, Indirect ; Humans ; Predictive Value of Tests ; Reproducibility of Results ; Retrospective Studies
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Contributed Indexing:
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Keywords: Age; Body temperature; Critically ill medical patients; Prediction equations; Resting energy expenditure
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Entry Date(s):
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Date Created: 20220606 Date Completed: 20220707 Latest Revision: 20220804
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Update Code:
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20240105
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DOI:
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10.1016/j.nut.2022.111684
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PMID:
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35660504
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Objectives: Resting energy expenditure (REE) declines with age in healthy individuals, independent of the age-related decrease in lean body mass. The aim of this study was to evaluate whether this holds true in critically ill medical patients. Moreover, we assessed how measured REE compares with energy requirements calculated by prediction equations in different age groups.
Methods: In this retrospective cohort study, 200 critically ill medical patients with need for mechanical ventilation underwent indirect calorimetry within 72 h of admission after an overnight fast to determine REE. REE was adjusted for body weight (REEaBW). Patients were divided into age quartiles (I: 18-35, n = 21; II: 36-52, n = 43; III 53-69, n = 93; IV = 70-86 y, n = 43). Sex, Simplified Acute Physiology Score II, temperature at time of measurement, height, weight, and body mass index were assessed. We calculated energy requirements by Harris-Benedict and Mifflin-St. Jeor equations. Kruskal-Wallis test was used for group comparisons. Parameters that were significant in univariate regression entered the multivariate regression model.
Results: REE (P = 0.009) and REEaBW (P < 0.001) declined with age in our study population. Multivariate regression reveals age (R = -8.49 (95% CI -8.30- -1.83), P = 0.003), P = 0.004) and body temperature (R = 92.52 (95% CI 40.08-135.97, P < 0.001) as independent predictors for REE.
Conclusion: REE and REEaBW decrease with age in critically ill medical patients. Age and body temperature are independent predictors of both REE and REEaBW. Prediction equations underestimate energy requirements in critically ill medical patients.
(Copyright © 2022 Elsevier Inc. All rights reserved.)
