Literature DB >> 23443826

Measuring energy expenditure in clinical populations: rewards and challenges.

T Psota1, K Y Chen.   

Abstract

The measurement of energy expenditure (EE) is recommended as an important component of comprehensive clinical nutrition assessments in patients with altered metabolic states, who failed to respond to nutrition support and with critical illness that require individualized nutrition support. There is evidence that EE is variable in patients with metabolic diseases, such as chronic renal disease, cirrhosis, HIV, cancer cachexia, cystic fibrosis and patients under intensive care. By using appropriate techniques and interpretations of basal or resting EE, clinicians can facilitate the adequate nutrition support with minimum negative impacts from under- or overfeeding in these patients. This review is based on our current understanding of the different components of EE and the techniques to measure them, and to re-examine advances and challenges to determine energy needs in clinical populations with more focuses on the obese, pediatric and elderly patients. In addition, technological advances have expanded the choices of market-available equipments for assessing EE, which also bring specific challenges and rewards in selecting the right equipment with specific performance criteria. Lastly, analytical considerations of interpreting the results of EE in the context of changing body composition are presented and discussed.

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Year:  2013        PMID: 23443826      PMCID: PMC3928639          DOI: 10.1038/ejcn.2013.38

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  84 in total

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Journal:  World Rev Nutr Diet       Date:  2012-10-12       Impact factor: 0.575

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9.  Comparison of resting energy expenditure prediction methods with measured resting energy expenditure in obese, hospitalized adults.

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Journal:  JPEN J Parenter Enteral Nutr       Date:  2009 Mar-Apr       Impact factor: 4.016

Review 10.  Influence of exercise on linear growth.

Authors:  B Torun; F E Viteri
Journal:  Eur J Clin Nutr       Date:  1994-02       Impact factor: 4.016

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  19 in total

Review 1.  [Prevention and treatment of cachexia : Exercise and nutritional therapy].

Authors:  B Wilms; S M Schmid; K Luley; J Wiskemann; H Lehnert
Journal:  Internist (Berl)       Date:  2016-10       Impact factor: 0.743

Review 2.  Key determinants of energy expenditure in cancer and implications for clinical practice.

Authors:  S A Purcell; S A Elliott; V E Baracos; Q S C Chu; C M Prado
Journal:  Eur J Clin Nutr       Date:  2016-06-08       Impact factor: 4.016

3.  Human Resting Energy Expenditure Varies with Circadian Phase.

Authors:  Kirsi-Marja Zitting; Nina Vujovic; Robin K Yuan; Cheryl M Isherwood; Jacob E Medina; Wei Wang; Orfeu M Buxton; Jonathan S Williams; Charles A Czeisler; Jeanne F Duffy
Journal:  Curr Biol       Date:  2018-11-08       Impact factor: 10.834

4.  Clinical Correlates of Measured and Predicted Resting Energy Expenditure in Patients with Anorexia Nervosa: A Retrospective Cohort Study.

Authors:  Rami Bou Khalil; Ariane Sultan; Maude Seneque; Sami Richa; Patrick Lefebvre; Eric Renard; Philippe Courtet; Laurent Maimoun; Sebastien Guillaume
Journal:  Nutrients       Date:  2022-06-30       Impact factor: 6.706

5.  Methods for Estimating Energy Expenditure in Critically Ill Adults.

Authors:  Makayla Cordoza; Lingtak-Neander Chan; Elizabeth Bridges; Hilaire Thompson
Journal:  AACN Adv Crit Care       Date:  2020-09-15

Review 6.  Analysis of energy metabolism in humans: A review of methodologies.

Authors:  Yan Y Lam; Eric Ravussin
Journal:  Mol Metab       Date:  2016-09-20       Impact factor: 7.422

7.  Approximate Time to Steady-state Resting Energy Expenditure Using Indirect Calorimetry in Young, Healthy Adults.

Authors:  Collin J Popp; Jocelyn J Tisch; Kenan E Sakarcan; William C Bridges; Elliot D Jesch
Journal:  Front Nutr       Date:  2016-11-03

Review 8.  Tocotrienol is a cardioprotective agent against ageing-associated cardiovascular disease and its associated morbidities.

Authors:  Nardev Ramanathan; Esther Tan; Li Jun Loh; Boon Seng Soh; Wei Ney Yap
Journal:  Nutr Metab (Lond)       Date:  2018-01-19       Impact factor: 4.169

9.  Prediction Equations Overestimate the Energy Requirements More for Obesity-Susceptible Individuals.

Authors:  Rebecca T McLay-Cooke; Andrew R Gray; Lynnette M Jones; Rachael W Taylor; Paula M L Skidmore; Rachel C Brown
Journal:  Nutrients       Date:  2017-09-13       Impact factor: 5.717

10.  An approach to quantifying abnormalities in energy expenditure and lean mass in metabolic disease.

Authors:  L P E Watson; P Raymond-Barker; C Moran; N Schoenmakers; C Mitchell; L Bluck; V K Chatterjee; D B Savage; P R Murgatroyd
Journal:  Eur J Clin Nutr       Date:  2013-11-27       Impact factor: 4.016

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