Measured and predicted resting metabolic rate in patients with inflammatory bowel disease

• Published in: Nutrition (Burbank, Los Angeles County, Calif.) Vol. 127; p. 112552
• Main Authors: Campos, Tatiana Almeida de Moraes, Anjos, Luiz Antonio dos, Wady, Maria Thereza Baptista, Wahrlich, Vivian
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Inc 01.11.2024; Elsevier Limited
• Subjects: Age; Basal metabolism; Bias; Body composition; Body mass index; Calorimetry; Chronic illnesses; Crohn's disease; Data collection; Dual energy X-ray absorptiometry; Energy expenditure; Inflammatory bowel disease; Inflammatory bowel diseases; Intestine; Metabolic rate; Metabolism; Nutritional status; Predictive equations; Regression analysis; Regression models; Research methods; Ulcerative colitis; Brazil; United States > US; Rio de Janeiro Brazil; Energy expenditure; Crohn's disease; Basal metabolism; Body composition; Ulcerative colitis; Predictive equations
• ISSN: 0899-9007; 1873-1244; 1873-1244
• DOI: 10.1016/j.nut.2024.112552

•No difference was found in RMR between patients with nonactive CD and UC.•The population-specific equation accurately estimated RMR in IBD outpatients.•FFM and disease-specific equations overestimated RMR in IBD outpatients.•FFM, age, and BMI explained 65% of the variation in RMR in IBD outpatients.•Age at diagnosis and duration of the disease did not improve RMR estimation. The present study aimed to compare measured and estimated resting metabolic rate (RMR) predicted by selected equations in patients with nonactive inflammatory bowel disease (IBD) on an outpatient university clinic regimen. Seventy-two adult (≥20 years) IBD patients (45 with Crohn's disease-CD) had RMR measured (mRMR) by indirect calorimetry and also estimated by predictive equations (Cunningham, Henry, Anjos et al., and Marra et al.). Body composition was assessed by DXA. Absolute Bias (estimated - mRMR) and % Bias (Bias/mRMR) were calculated. Agreement was assessed as the limit of agreement (LoA) in the Bland & Altman approach. There was no difference in age, body composition and mRMR between individuals with CD (5414.2 ± 1023.7 kJ/day) and ulcerative colitis (5443.9 ± 1008.9 kJ/day). Among the equations, only the Anjos et al.'s population-specific equation (-52.1 [642.0] kJ/day, P = 0.493; LoA: -1311; 1206 kJ/d) accurately estimated RMR. The equations of Marra et al. produced the highest % Bias (24.1 ± 14.8%). The Bland & Altman plots showed that the range of the LoA was relatively similar for all equations. In the simple regression analysis, the model with FFM resulted in a higher coefficient of determination (R2 = 0.51 for DC 0.74 for UC) compared to the model that included BM (R2 = 0.35 for DC and 0.65 for UC). Among the equations analyzed, only Anjos et al.'s accurately estimated RMR in outpatients with nonactive IBD. However, caution is advised when applying it at the individual level, due to the wide observed LoA.