Tags

Type your tag names separated by a space and hit enter

Predicting resting energy expenditure in boys with Duchenne muscular dystrophy.
Eur J Paediatr Neurol. 2012 Nov; 16(6):631-5.EJ

Abstract

BACKGROUND

Understanding how best to predict energy needs in Duchenne muscular dystrophy (DMD) is fundamental to weight management in clinical practice; however there is a large gap in the literature regarding information on the most appropriate method. We aimed to ascertain the most valid predictive equation that can be used to predict REE in steroid treated ambulatory boys with DMD.

METHODS

REE was measured in 9 boys with DMD using indirect calorimetry after an overnight fast. REE was predicted using five different equations, based on height, weight, or body composition variables.

RESULTS

Mean measured REE was 5.4 (SD 0.4) MJ/day. The inclusion of fat free mass in the prediction equation provided no benefit over body weight. The exclusion of height, when compared with weight alone, improved predictive performance, as seen with the Schofield equations, in which a minimal bias and root means squared error is seen.

CONCLUSIONS

The most accurate and precise equation was the Schofield weight equation (Bias -0.2 MJ, 95% CI: -1.3-0.9 MJ), which can easily be calculated in a clinical setting and provides a solid foundation from which clinicians can establish energy requirements to support nutritional management in boys with DMD.

Authors+Show Affiliations

Children's Nutrition Research Centre, Discipline of Paediatrics and Child Health, The University of Queensland, Royal Children's Hospital, Herston, QLD 4029, Australia.No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22497714

Citation

Elliott, Sarah A., et al. "Predicting Resting Energy Expenditure in Boys With Duchenne Muscular Dystrophy." European Journal of Paediatric Neurology : EJPN : Official Journal of the European Paediatric Neurology Society, vol. 16, no. 6, 2012, pp. 631-5.
Elliott SA, Davidson ZE, Davies PS, et al. Predicting resting energy expenditure in boys with Duchenne muscular dystrophy. Eur J Paediatr Neurol. 2012;16(6):631-5.
Elliott, S. A., Davidson, Z. E., Davies, P. S., & Truby, H. (2012). Predicting resting energy expenditure in boys with Duchenne muscular dystrophy. European Journal of Paediatric Neurology : EJPN : Official Journal of the European Paediatric Neurology Society, 16(6), 631-5. https://doi.org/10.1016/j.ejpn.2012.02.011
Elliott SA, et al. Predicting Resting Energy Expenditure in Boys With Duchenne Muscular Dystrophy. Eur J Paediatr Neurol. 2012;16(6):631-5. PubMed PMID: 22497714.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predicting resting energy expenditure in boys with Duchenne muscular dystrophy. AU - Elliott,Sarah A, AU - Davidson,Zoe E, AU - Davies,Peter S W, AU - Truby,Helen, Y1 - 2012/04/10/ PY - 2011/07/28/received PY - 2012/02/14/revised PY - 2012/02/24/accepted PY - 2012/4/14/entrez PY - 2012/4/14/pubmed PY - 2013/3/8/medline SP - 631 EP - 5 JF - European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society JO - Eur. J. Paediatr. Neurol. VL - 16 IS - 6 N2 - BACKGROUND: Understanding how best to predict energy needs in Duchenne muscular dystrophy (DMD) is fundamental to weight management in clinical practice; however there is a large gap in the literature regarding information on the most appropriate method. We aimed to ascertain the most valid predictive equation that can be used to predict REE in steroid treated ambulatory boys with DMD. METHODS: REE was measured in 9 boys with DMD using indirect calorimetry after an overnight fast. REE was predicted using five different equations, based on height, weight, or body composition variables. RESULTS: Mean measured REE was 5.4 (SD 0.4) MJ/day. The inclusion of fat free mass in the prediction equation provided no benefit over body weight. The exclusion of height, when compared with weight alone, improved predictive performance, as seen with the Schofield equations, in which a minimal bias and root means squared error is seen. CONCLUSIONS: The most accurate and precise equation was the Schofield weight equation (Bias -0.2 MJ, 95% CI: -1.3-0.9 MJ), which can easily be calculated in a clinical setting and provides a solid foundation from which clinicians can establish energy requirements to support nutritional management in boys with DMD. SN - 1532-2130 UR - https://www.unboundmedicine.com/medline/citation/22497714/Predicting_resting_energy_expenditure_in_boys_with_Duchenne_muscular_dystrophy_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1090-3798(12)00056-6 DB - PRIME DP - Unbound Medicine ER -