Literature DB >> 26826262

Energy Expenditure in Critically Ill Elderly Patients: Indirect Calorimetry vs Predictive Equations.

Nara L A L Segadilha1, Eduardo E M Rocha1, Lilian M S Tanaka1, Karla L P Gomes1, Rodolfo E A Espinoza1, Wilza A F Peres2.   

Abstract

BACKGROUND: Predictive equations (PEs) are used for estimating resting energy expenditure (REE) when the measurements obtained from indirect calorimetry (IC) are not available. This study evaluated the degree of agreement and the accuracy between the REE measured by IC (REE-IC) and REE estimated by PE (REE-PE) in mechanically ventilated elderly patients admitted to the intensive care unit (ICU).
METHODS: REE-IC of 97 critically ill elderly patients was compared with REE-PE by 6 PEs: Harris and Benedict (HB) multiplied by the correction factor of 1.2; European Society for Clinical Nutrition and Metabolism (ESPEN) using the minimum (ESPENmi), average (ESPENme), and maximum (ESPENma) values; Mifflin-St Jeor; Ireton-Jones (IJ); Fredrix; and Lührmann. Degree of agreement between REE-PE and REE-IC was analyzed by the interclass correlation coefficient and the Bland-Altman test. The accuracy was calculated by the percentage of male and/or female patients whose REE-PE values differ by up to ±10% in relation to REE-IC.
RESULTS: For both sexes, there was no difference for average REE-IC in kcal/kg when the values obtained with REE-PE by corrected HB and ESPENme were compared. A high level of agreement was demonstrated by corrected HB for both sexes, with greater accuracy for women. The best accuracy in the male group was obtained with the IJ equation but with a low level of agreement.
CONCLUSIONS: The effectiveness of PEs is limited for estimating REE of critically ill elderly patients. Nonetheless, HB multiplied by a correction factor of 1.2 can be used until a specific PE for this group of patients is developed.

Entities:  

Keywords:  aged; critical care; indirect calorimetry; predictive equations; resting energy expenditure

Mesh:

Year:  2016        PMID: 26826262     DOI: 10.1177/0148607115625609

Source DB:  PubMed          Journal:  JPEN J Parenter Enteral Nutr        ISSN: 0148-6071            Impact factor:   4.016


  6 in total

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Review 3.  Are Predictive Energy Expenditure Equations Accurate in Cirrhosis?

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Journal:  Nutrients       Date:  2019-02-04       Impact factor: 5.717

4.  Energy Expenditure in Older People Hospitalized for an Acute Episode.

Authors:  Marc Bonnefoy; Thomas Gilbert; Sylvie Normand; Marc Jauffret; Pascal Roy; Béatrice Morio; Catherine Cornu; Sylvain Roche; Martine Laville
Journal:  Nutrients       Date:  2019-12-04       Impact factor: 5.717

5.  Energy Expenditure in Critically Ill Adult Patients With Acute Brain Injury: Indirect Calorimetry vs. Predictive Equations.

Authors:  Kathryn A Morbitzer; William S Wilson; Alex C Chaben; Adrienne Darby; Kelly A Dehne; Emily R Brown; Denise H Rhoney; J Dedrick Jordan
Journal:  Front Neurol       Date:  2020-01-23       Impact factor: 4.003

6.  Measured and Predicted Resting Energy Expenditure in Malnourished Older Hospitalized Patients: A Cross-Sectional and Longitudinal Comparison.

Authors:  Maryam Pourhassan; Diana Daubert; Rainer Wirth
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  6 in total

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