Children's Nutrition Research Centre, Discipline of Paediatrics and Child Health, The University of Queensland, Royal Children's Hospital, Herston, QLD 4029, Australia.
Eur J Paediatr Neurol. 2012 Nov;16(6):631-5. doi: 10.1016/j.ejpn.2012.02.011. Epub 2012 Apr 10.
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.
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.
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.
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.
了解如何最好地预测杜氏肌营养不良症 (DMD) 患者的能量需求是临床实践中体重管理的基础；然而，关于最合适的方法的信息在文献中存在很大的差距。我们旨在确定最有效的预测方程，以预测接受类固醇治疗的 DMD 门诊男孩的静息能量消耗。
9 名 DMD 男孩在禁食一夜后使用间接测热法测量静息能量消耗。使用基于身高、体重或身体成分变量的五个不同方程来预测 REE。
平均测量的 REE 为 5.4（SD 0.4）MJ/天。在预测方程中加入去脂体重并不能提高预测的准确性。与单独使用体重相比，排除身高可以提高预测性能，如 Schofield 方程所示，其中可以看到最小的偏差和均方根误差。
最准确和精确的方程是 Schofield 体重方程（偏差-0.2 MJ，95%CI：-1.3-0.9 MJ），它可以在临床环境中轻松计算，为临床医生确定能量需求提供了坚实的基础，以支持 DMD 男孩的营养管理。
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