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Predicting resting energy expenditure in patients with musculoskeletal deformities

Authors :
S. Banham
M.K. Sridhar
Michael E. J. Lean
Source :
Clinical Nutrition. 13:286-290
Publication Year :
1994
Publisher :
Elsevier BV, 1994.

Abstract

The aim of this study was to assess the validity of the commonly used equations (Harris-Benedict (HB), Schofield (S) and equations based on midarm circumference (MAC) and midarm muscle circumference (MAMC) in predicting resting energy expenditure (REE) in a population of patients with musculoskeletal deformities. 20 kyphoscoliotic patients (15 female (F); 5 male (M); mean age 59.6 years) and 10 controls (7 F; 3M; 59.8 years) were studied. REE measured by indirect calorimetry (IC) with a ventilated canopy system (Deltatrac metabolic monitor) was not significantly different between patients and controls (Mean (SD) REE (MJ/24 h): Patients: 5.48 (1.1); controls: 5.28(0.8)). In patients with deformities the Schofield equation gave values which were closest to measured REE (mean difference and limits of agreement IC vs S: 0.098 MJ/24 h; −0.822 and 1.018). The Harris-Benedict equation using height (Ht) and armspan (AS) in lieu of height also gave acceptable results (IC vs HB (Ht): 0.34; −0.638 and 1.318; IC vs HB (AS): 0.255; −0.683 and 1.253). Equations based on MAC and MAMC compared poorly (IC vs MAC equation: 0.398; −1.530 and 2.326; IC vs MAMC equation 0.687; −0.911 and 2.285). On regression analysis the equation REE = 0.295 (MAMC) + 0.0483 (AS) −0.0324 (age) −6.25 predicted REE best in the patient population (r2 = 0.861).

Details

ISSN :
02615614
Volume :
13
Database :
OpenAIRE
Journal :
Clinical Nutrition
Accession number :
edsair.doi.dedup.....7e02f6aad3cde621ea2e6b0ca65389e7
Full Text :
https://doi.org/10.1016/0261-5614(94)90051-5