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Published on: August 24, 2019
Development and validation of a predictive equation for resting energy expenditure in Japanese patients with
Keisuke Morikawa1, Hiroyuki Takemura2, Kana Kitayama2
1Department of Rehabilitation, Matsusaka Municipal Hospital, Matsusaka, Mie, Japan; Graduate School of Health Sciences, Kio University, Nara, Japan.
Background And Aims:
This study developed a prediction equation for resting energy expenditure (REE) in patients with interstitial lung disease (ILD) using indirect calorimetry and examined the errors in the prediction equation.
Methods:
This study consisted of two key phases: Study 1 focused on developing the prediction equation for REE, whereas Study 2 evaluated the accuracy of this equation through validation and error analysis. In Study 1, REE was measured, and a regression model equation was created to predict REE using multiple regression analysis, with measured REE (mREE) as the dependent variable. In Study 2, a Bland-Altman analysis was conducted to examine the phylogenetic error and agreement between predicted REE (pREE) calculated from the prediction equations developed in Study 1 and mREE.
Results:
In Study 1, mREE was significantly associated with fat-free mass (FFM), and the prediction equation for REE was 456.988 + 22.539 × FFM. The addition error (0.4 ± 166.1, 95% confidence interval (CI): -55.8 to 56.6, P = 0.988) and proportional error (r = 0.223, P = 0.191) between mREE and pREE were not significantly different, with an agreement of 69.4%.
Conclusions:
The mREE prediction equation developed in this study showed no systematic errors and exhibited higher agreement compared with existing prediction equations. The prediction equation for REE specific to patients with ILD obtained in this study has the potential for clinical application.
