Accuracy of Resting Energy Expenditure Predictive Equations in Patients With Cancer.
Adult
Age Factors
Aged
Aged, 80 and over
Anthropometry
Basal Metabolism
/ physiology
Body Composition
/ physiology
Body Mass Index
Calorimetry, Indirect
Cross-Sectional Studies
Energy Intake
Energy Metabolism
/ physiology
Female
Humans
Male
Middle Aged
Models, Biological
Neoplasm Staging
Neoplasms
/ metabolism
Predictive Value of Tests
body composition
cancer
energy expenditure
energy metabolism
fat mass
fat-free mass
indirect calorimetry
Journal
Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
ISSN: 1941-2452
Titre abrégé: Nutr Clin Pract
Pays: United States
ID NLM: 8606733
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
pubmed:
28
7
2019
medline:
11
4
2020
entrez:
27
7
2019
Statut:
ppublish
Résumé
Our purpose was to assess the accuracy of resting energy expenditure (REE) equations in patients with newly diagnosed stage I-IV non-small cell lung, rectal, colon, renal, or pancreatic cancer. In this cross-sectional study, REE was measured using indirect calorimetry and compared with 23 equations. Agreement between measured and predicted REE was assessed via paired t-tests, Bland-Altman analysis, and percent of estimations ≤ 10% of measured values. Accuracy was measured among subgroups of body mass index (BMI), stage (I-III vs IV), and cancer type (lung, rectal, and colon) categories. Fat mass (FM) and fat-free mass (FFM) were assessed using dual x-ray absorptiometry. Among 125 patients, most had lung, colon, or rectal cancer (92%, BMI: 27.5 ± 5.6 kg/m REE cannot be accurately predicted on an individual level, and bias relates to age and FM.
Sections du résumé
BACKGROUND
BACKGROUND
Our purpose was to assess the accuracy of resting energy expenditure (REE) equations in patients with newly diagnosed stage I-IV non-small cell lung, rectal, colon, renal, or pancreatic cancer.
METHODS
METHODS
In this cross-sectional study, REE was measured using indirect calorimetry and compared with 23 equations. Agreement between measured and predicted REE was assessed via paired t-tests, Bland-Altman analysis, and percent of estimations ≤ 10% of measured values. Accuracy was measured among subgroups of body mass index (BMI), stage (I-III vs IV), and cancer type (lung, rectal, and colon) categories. Fat mass (FM) and fat-free mass (FFM) were assessed using dual x-ray absorptiometry.
RESULTS
RESULTS
Among 125 patients, most had lung, colon, or rectal cancer (92%, BMI: 27.5 ± 5.6 kg/m
CONCLUSION
CONCLUSIONS
REE cannot be accurately predicted on an individual level, and bias relates to age and FM.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
922-934Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2019 American Society for Parenteral and Enteral Nutrition.
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