AI Article Synopsis
- The study aimed to create more accurate equations for estimating resting energy expenditure (REE) in non-critically ill Portuguese patients to improve nutritional management in hospitals.
- Researchers measured REE using indirect calorimetry on 180 patients and developed new predictive equations based on various body measurements.
- Results indicated the new equations provided better estimates of REE compared to existing ones, potentially enhancing nutritional interventions and reducing undernutrition risks for hospitalized patients.
Article Abstract
Background: Correct measurement of resting energy expenditure (REE) is essential to offer a proper nutritional management during hospital stay. Dietitians are not able to perform an effective dietary treatment if predicted REE values are obtained from invalid equations.
Objective: The aim of this study was to develop a more valid method to estimate REE in non-critically ill Portuguese patients.
Design: In this cross-sectional study, REE was measured by indirect calorimetry (IC) in 180 non-critically patients during hospital stay (50 participants were allocated to the validation group by simple randomization and the remaining 130 were allocated to the derivation group). The best accurate equations were derived by multiple linear regression analysis (stepwise) based on anthropometric variables. The equations were tested on the validation group and compared with published predictive equations.
Results: Data was collected from 130 patients, 68 women (52.3%) and 62 men (47.7%), mean age was 58.9 ± 16.8 years and REE-IC was 1918 ± 721 kcal/day. The new best-fit equation REE (kcal/day) = 14.4 (Height) + 52.7 (MUAC) + 453.4 (1 if male, 0 if female) - 371.2 (if Obese) - 2138.3 showed strength of evidence decisive (BF₁₀ = 8008), when compared by Bayesian model, and r = 0.315. Only estimated REE values obtained using new equations did not present significant difference when compared with measured REE values (kcal/kg).
Conclusions: In this study, new equations derived from a non-critically ill population showed higher validity in estimating REE than currently used equations. A better estimation of REE may lead to a better nutritional intervention and a decreased risk of undernutrition in hospitalized patients.
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| http://dx.doi.org/10.1016/j.clnesp.2020.02.006 | DOI Listing |
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