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Validation of predictive equations for resting energy expenditure in J apanese pediatric C rohn's disease patients: Preliminary study
Author(s) -
Arai Katsuhiro,
Funayama Rie,
Takahashi Mieko,
Sakai Rie,
Shimizu Hirotaka,
Obayashi Naho,
Matsui Akira
Publication year - 2015
Publication title -
pediatrics international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.49
H-Index - 63
eISSN - 1442-200X
pISSN - 1328-8067
DOI - 10.1111/ped.12504
Subject(s) - resting energy expenditure , medicine , disease , regression analysis , zoology , energy expenditure , gerontology , statistics , mathematics , biology
Background Predictive equations are often used to estimate resting energy expenditure (REE). Determining the appropriate equation for different patient types, however, remains inconclusive, as in the case of J apanese children with C rohn's disease ( CD ). The aim of this study was to identify an appropriate predictive equation for measuring REE in J apanese children with CD . Methods Twelve J apanese children with CD managed at the N ational C enter for C hild H ealth and D evelopment in T okyo, J apan, were studied. REE (kcal/day) was measured using indirect calorimetry. The predictive equations used were the J apanese D ietary R eference I ntakes (2010), the S chofield equation, the Food and Agriculture Organization/World Health Organization/United Nations University ( FAO / WHO / UNU ) equation and the C unningham equation. Difference between predicted and measured REE was analyzed on B land– A ltman plot. Results J apanese D ietary R eference I ntakes (2010) had the smallest difference between predicted and measured REE. Weight was the primary predictor of REE on multiple regression analysis. As well, J apanese D ietary R eference I ntakes (2010) had the highest ratio of weight to predicted REE (98.5%). Conclusions Of the four equations, J apanese D ietary R eference I ntakes (2010) appeared to be the most practical and accurate predictive equation for REE in J apanese children with CD .