Quirk Meghan E, Schmotzer Brian J, Singh Rani H
Graduate Division of Biological and Biomedical Sciences, Nutrition and Health Sciences, Emory University, Decatur, GA 30033, USA.
J Am Diet Assoc. 2010 Jun;110(6):922-5. doi: 10.1016/j.jada.2010.03.015.
Resting energy expenditure (REE) is often used to estimate total energy needs. The Schofield equation based on weight and height has been reported to underestimate REE in female children with phenylketonuria (PKU). The objective of this observational, cross-sectional study was to evaluate the agreement of measured REE with predicted REE for female adolescents with PKU. A total of 36 females (aged 11.5 to 18.7 years) with PKU attending Emory University's Metabolic Camp (June 2002 to June 2008) underwent indirect calorimetry. Measured REE was compared to six predictive equations using paired Student's t tests, regression-based analysis, and assessment of clinical accuracy. The differences between measured and predicted REE were modeled against clinical parameters to determine whether a relationship existed. All six selected equations significantly under predicted measured REE (P<0.005). The Schofield equation based on weight had the greatest level of agreement, with the lowest mean prediction bias (144 kcal) and highest concordance correlation coefficient (0.626). However, the Schofield equation based on weight lacked clinical accuracy, predicting measured REE within +/-10% in only 14 of 36 participants. Clinical parameters were not associated with bias for any of the equations. Predictive equations underestimated measured REE in this group of female adolescents with PKU. Currently, there is no accurate and precise alternative for indirect calorimetry in this population.
静息能量消耗（REE）常被用于估算总能量需求。据报道，基于体重和身高的Schofield方程会低估苯丙酮尿症（PKU）女童的REE。这项观察性横断面研究的目的是评估PKU女性青少年实测REE与预测REE之间的一致性。共有36名患有PKU的女性（年龄在11.5至18.7岁之间）参加了埃默里大学的代谢营（2002年6月至2008年6月），并接受了间接测热法测量。使用配对t检验、基于回归的分析以及临床准确性评估，将实测REE与六个预测方程进行比较。将实测REE与预测REE之间的差异与临床参数进行建模，以确定是否存在关联。所有六个选定的方程预测的实测REE均显著偏低（P<0.005）。基于体重的Schofield方程一致性水平最高，平均预测偏差最低（144千卡），一致性相关系数最高（0.626）。然而，基于体重的Schofield方程缺乏临床准确性，在36名参与者中只有14人预测的实测REE在±10%以内。临床参数与任何方程的偏差均无关联。预测方程低估了这组PKU女性青少年的实测REE。目前，在这一人群中，间接测热法尚无准确且精确的替代方法。
