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A bedside measure of body composition in Duchenne muscular dystrophy.
Pediatr Neurol 2015; 52(1):82-7PN

Abstract

BACKGROUND

In clinical practice, monitoring body composition is a critical component of nutritional assessment and weight management in boys with Duchenne muscular dystrophy. We aimed to evaluate the accuracy of a simple bedside measurement tool for body composition, namely bioelectrical impedance analysis, in boys with Duchenne muscular dystrophy.

METHODS

Measures of fat-free mass were determined using a bioelectrical impedance analysis machine and compared against estimations obtained from a reference body composition model. Additionally, the use of raw impedance values was analyzed using three existing predictive equations for the estimation of fat-free mass. Accuracy of bioelectrical impedance analysis was assessed by comparison against the reference model by calculation of biases and limits of agreement.

RESULTS

Body composition was measured in 10 boys with Duchenne muscular dystrophy, mean age 9.01 ± 2.34 years. The bioelectrical impedance analysis machine values of fat-free mass were on average 2.3 ± 14.1 kg higher than reference values. Limits of agreement (based on 95% confidence interval of the mean) were -7.4 to 2.9 kg. There was a significant correlation between the mean fat-free mass and difference in fat-free mass between the bioelectrical impedance analysis machine and the reference model (r = -0.86; P = 0.02) suggesting that the bias was not consistent across the range of measurements. The most accurate predictive equation for the estimation of fat-free mass using raw impedance values was the equation by Pietrobelli et al. (mean difference, -0.7 kg; 95% limits of agreement, -3.5 to 2.0 kg).

CONCLUSIONS

In a clinical setting, where a rapid assessment of body composition is advantageous, the use of raw impedance values, combined with the equation by Pietrobelli et al., is recommended for the accurate estimation of fat-free mass, in boys with Duchenne muscular dystrophy.

Authors+Show Affiliations

Children's Nutrition Research Centre, Queensland Children's Medical Research Institute, The University of Queensland, Herston, Queensland, Australia.Department of Nutrition and Dietetics, Southern Clinical School, Monash University, Clayton, Victoria, Australia.Children's Nutrition Research Centre, Queensland Children's Medical Research Institute, The University of Queensland, Herston, Queensland, Australia.Department of Nutrition and Dietetics, Southern Clinical School, Monash University, Clayton, Victoria, Australia. Electronic address: helen.truby@monash.edu.

Pub Type(s)

Evaluation Study
Journal Article

Language

eng

PubMed ID

25301226

Citation

Elliott, Sarah A., et al. "A Bedside Measure of Body Composition in Duchenne Muscular Dystrophy." Pediatric Neurology, vol. 52, no. 1, 2015, pp. 82-7.
Elliott SA, Davidson ZE, Davies PS, et al. A bedside measure of body composition in Duchenne muscular dystrophy. Pediatr Neurol. 2015;52(1):82-7.
Elliott, S. A., Davidson, Z. E., Davies, P. S., & Truby, H. (2015). A bedside measure of body composition in Duchenne muscular dystrophy. Pediatric Neurology, 52(1), pp. 82-7. doi:10.1016/j.pediatrneurol.2014.08.008.
Elliott SA, et al. A Bedside Measure of Body Composition in Duchenne Muscular Dystrophy. Pediatr Neurol. 2015;52(1):82-7. PubMed PMID: 25301226.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A bedside measure of body composition in Duchenne muscular dystrophy. AU - Elliott,Sarah A, AU - Davidson,Zoe E, AU - Davies,Peter S W, AU - Truby,Helen, Y1 - 2014/08/27/ PY - 2014/03/27/received PY - 2014/07/28/revised PY - 2014/08/06/accepted PY - 2014/10/11/entrez PY - 2014/10/11/pubmed PY - 2015/8/25/medline KW - bioelectrical impedance KW - body composition KW - duchenne muscular dystrophy KW - fat mass KW - fat-free mass SP - 82 EP - 7 JF - Pediatric neurology JO - Pediatr. Neurol. VL - 52 IS - 1 N2 - BACKGROUND: In clinical practice, monitoring body composition is a critical component of nutritional assessment and weight management in boys with Duchenne muscular dystrophy. We aimed to evaluate the accuracy of a simple bedside measurement tool for body composition, namely bioelectrical impedance analysis, in boys with Duchenne muscular dystrophy. METHODS: Measures of fat-free mass were determined using a bioelectrical impedance analysis machine and compared against estimations obtained from a reference body composition model. Additionally, the use of raw impedance values was analyzed using three existing predictive equations for the estimation of fat-free mass. Accuracy of bioelectrical impedance analysis was assessed by comparison against the reference model by calculation of biases and limits of agreement. RESULTS: Body composition was measured in 10 boys with Duchenne muscular dystrophy, mean age 9.01 ± 2.34 years. The bioelectrical impedance analysis machine values of fat-free mass were on average 2.3 ± 14.1 kg higher than reference values. Limits of agreement (based on 95% confidence interval of the mean) were -7.4 to 2.9 kg. There was a significant correlation between the mean fat-free mass and difference in fat-free mass between the bioelectrical impedance analysis machine and the reference model (r = -0.86; P = 0.02) suggesting that the bias was not consistent across the range of measurements. The most accurate predictive equation for the estimation of fat-free mass using raw impedance values was the equation by Pietrobelli et al. (mean difference, -0.7 kg; 95% limits of agreement, -3.5 to 2.0 kg). CONCLUSIONS: In a clinical setting, where a rapid assessment of body composition is advantageous, the use of raw impedance values, combined with the equation by Pietrobelli et al., is recommended for the accurate estimation of fat-free mass, in boys with Duchenne muscular dystrophy. SN - 1873-5150 UR - https://www.unboundmedicine.com/medline/citation/25301226/A_bedside_measure_of_body_composition_in_Duchenne_muscular_dystrophy_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0887-8994(14)00514-1 DB - PRIME DP - Unbound Medicine ER -