Validation of predictive equations for resting energy expenditure in Japanese pediatric Crohn's disease patients: preliminary study

Pediatr Int. 2015 Apr;57(2):290-4. doi: 10.1111/ped.12504. Epub 2015 Jan 22.

Abstract

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 Japanese children with Crohn's disease (CD). The aim of this study was to identify an appropriate predictive equation for measuring REE in Japanese children with CD.

Methods: Twelve Japanese children with CD managed at the National Center for Child Health and Development in Tokyo, Japan, were studied. REE (kcal/day) was measured using indirect calorimetry. The predictive equations used were the Japanese Dietary Reference Intakes (2010), the Schofield equation, the Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU) equation and the Cunningham equation. Difference between predicted and measured REE was analyzed on Bland-Altman plot.

Results: Japanese Dietary Reference Intakes (2010) had the smallest difference between predicted and measured REE. Weight was the primary predictor of REE on multiple regression analysis. As well, Japanese Dietary Reference Intakes (2010) had the highest ratio of weight to predicted REE (98.5%).

Conclusions: Of the four equations, Japanese Dietary Reference Intakes (2010) appeared to be the most practical and accurate predictive equation for REE in Japanese children with CD.

Keywords: Bland-Altman plot; Crohn's disease; Japanese Dietary Reference Intakes (2010); predictive equation; resting energy expenditure.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Asian People
  • Body Composition
  • Calorimetry, Indirect / methods
  • Child
  • Crohn Disease / physiopathology*
  • Energy Metabolism / physiology*
  • Female
  • Humans
  • Japan
  • Male
  • Predictive Value of Tests
  • Regression Analysis

Supplementary concepts

  • Pediatric Crohn's disease