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Key determinants of energy expenditure in cancer and implications for clinical practice.
Purcell, S A; Elliott, S A; Baracos, V E; Chu, Q S C; Prado, C M.
Affiliation
  • Purcell SA; Faculty of Agricultural, Life, and Environmental Sciences, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
  • Elliott SA; Faculty of Agricultural, Life, and Environmental Sciences, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
  • Baracos VE; Faculty of Medicine and Dentistry, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
  • Chu QS; Department of Oncology, University of Alberta and Division of Medical Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada.
  • Prado CM; Faculty of Agricultural, Life, and Environmental Sciences, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Eur J Clin Nutr ; 70(11): 1230-1238, 2016 11.
Article in En | MEDLINE | ID: mdl-27273068
ABSTRACT
Great discrepancies exist in the reported prevalence of altered energy metabolism (hypo- or hypermetabolism) in cancer patients, which is likely due to the vast array of phenomena that can affect energy expenditure in these patients. The purpose of this review was to critically evaluate key determinants of energy expenditure in cancer and the relevance for clinical practice. Resting energy expenditure (REE) is the largest and most commonly measured component of total energy expenditure. In addition to the energetic demand of the tumor itself, REE may be increased due to changes in inflammation, body composition and brown adipose tissue activation. Energy expenditure from physical activity is often lower in cancer compared with healthy populations, and there is evidence to suggest that the thermic effect of food might also be blunted and affected by cancer therapy. Although accurate assessment of energy metabolism is a cornerstone of adequate nutritional therapy, prediction methods often do not capture the true energy expenditure of most cancer patients. In fact, limits of agreement of prediction equations may range from 40% below to 30% above measured REE. Such variability highlights the need for a more comprehensive understanding of energy expenditure in cancer and the value of accurately assessing the energy needs of these patients.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Energy Metabolism / Neoplasms / Nutritional Requirements Type of study: Health_economic_evaluation / Risk_factors_studies Limits: Humans Language: En Journal: Eur J Clin Nutr Journal subject: CIENCIAS DA NUTRICAO Year: 2016 Type: Article Affiliation country: Canada

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Energy Metabolism / Neoplasms / Nutritional Requirements Type of study: Health_economic_evaluation / Risk_factors_studies Limits: Humans Language: En Journal: Eur J Clin Nutr Journal subject: CIENCIAS DA NUTRICAO Year: 2016 Type: Article Affiliation country: Canada