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Validation of predictive equations for resting energy expenditure in adult outpatients and inpatients.

Abstract

BACKGROUND & AIMS

When individual energy requirements of adult patients cannot be measured by indirect calorimetry, they have to be predicted with an equation. The aim of this study was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to indirect calorimetry in adult patients.

METHODS

Predictive equations were included when based on weight, height, gender and/or age. REE was measured with indirect calorimetry. The mean squared prediction error was used to evaluate how well the equations fitted the REE measurement.

RESULTS

Eighteen predictive equations were included. Indirect calorimetry data were available for 48 outpatients and 45 inpatients. Also a subgroup of 42 underweight patients (BMI<18.5) was analyzed. The mean squared prediction error was 233-426 kcal/d and the percentage of patients with acceptable prediction was 28-52% for adult patients depending on the equation used. The FAO/WHO/UNU (1985) equation including both weight and height had the smallest prediction error in adult patients (233 kcal/d), outpatients (182 kcal/d), inpatients (277 kcal/d) as well as underweight patients (219 kcal/d).

CONCLUSIONS

The REE of adult outpatients, inpatients and underweight patients can best be estimated with the FAO/WHO/UNU equation including weight and height, when indirect calorimetry is not available.

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  • Authors+Show Affiliations

    ,

    Department of Nutrition and Dietetics, VU University Medical Center, P.O. Box 7057, 1007 MB Amsterdam, The Netherlands. p.weijs@vumc.nl

    , , , , , ,

    Source

    MeSH

    Adult
    Age Factors
    Basal Metabolism
    Body Mass Index
    Calorimetry, Indirect
    Case-Control Studies
    Energy Metabolism
    Female
    Humans
    Male
    Mathematics
    Middle Aged
    Nutritional Requirements
    Predictive Value of Tests
    Reproducibility of Results
    Sensitivity and Specificity
    Sex Factors

    Pub Type(s)

    Journal Article
    Research Support, Non-U.S. Gov't
    Validation Studies

    Language

    eng

    PubMed ID

    17961867

    Citation

    Weijs, Peter J M., et al. "Validation of Predictive Equations for Resting Energy Expenditure in Adult Outpatients and Inpatients." Clinical Nutrition (Edinburgh, Scotland), vol. 27, no. 1, 2008, pp. 150-7.
    Weijs PJ, Kruizenga HM, van Dijk AE, et al. Validation of predictive equations for resting energy expenditure in adult outpatients and inpatients. Clin Nutr. 2008;27(1):150-7.
    Weijs, P. J., Kruizenga, H. M., van Dijk, A. E., van der Meij, B. S., Langius, J. A., Knol, D. L., ... van Bokhorst-de van der Schueren, M. A. (2008). Validation of predictive equations for resting energy expenditure in adult outpatients and inpatients. Clinical Nutrition (Edinburgh, Scotland), 27(1), pp. 150-7.
    Weijs PJ, et al. Validation of Predictive Equations for Resting Energy Expenditure in Adult Outpatients and Inpatients. Clin Nutr. 2008;27(1):150-7. PubMed PMID: 17961867.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - Validation of predictive equations for resting energy expenditure in adult outpatients and inpatients. AU - Weijs,Peter J M, AU - Kruizenga,Hinke M, AU - van Dijk,Aimee E, AU - van der Meij,Barbara S, AU - Langius,Jacqueline A E, AU - Knol,Dirk L, AU - Strack van Schijndel,Robert J M, AU - van Bokhorst-de van der Schueren,Marian A E, Y1 - 2007/10/24/ PY - 2006/12/11/received PY - 2007/09/07/revised PY - 2007/09/07/accepted PY - 2007/10/27/pubmed PY - 2008/3/18/medline PY - 2007/10/27/entrez SP - 150 EP - 7 JF - Clinical nutrition (Edinburgh, Scotland) JO - Clin Nutr VL - 27 IS - 1 N2 - BACKGROUND & AIMS: When individual energy requirements of adult patients cannot be measured by indirect calorimetry, they have to be predicted with an equation. The aim of this study was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to indirect calorimetry in adult patients. METHODS: Predictive equations were included when based on weight, height, gender and/or age. REE was measured with indirect calorimetry. The mean squared prediction error was used to evaluate how well the equations fitted the REE measurement. RESULTS: Eighteen predictive equations were included. Indirect calorimetry data were available for 48 outpatients and 45 inpatients. Also a subgroup of 42 underweight patients (BMI<18.5) was analyzed. The mean squared prediction error was 233-426 kcal/d and the percentage of patients with acceptable prediction was 28-52% for adult patients depending on the equation used. The FAO/WHO/UNU (1985) equation including both weight and height had the smallest prediction error in adult patients (233 kcal/d), outpatients (182 kcal/d), inpatients (277 kcal/d) as well as underweight patients (219 kcal/d). CONCLUSIONS: The REE of adult outpatients, inpatients and underweight patients can best be estimated with the FAO/WHO/UNU equation including weight and height, when indirect calorimetry is not available. SN - 1532-1983 UR - https://www.unboundmedicine.com/medline/citation/17961867/Validation_of_predictive_equations_for_resting_energy_expenditure_in_adult_outpatients_and_inpatients_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0261-5614(07)00158-6 DB - PRIME DP - Unbound Medicine ER -