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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >Comparisons of Predictive Equations for Resting Energy Expenditure in Patients with Cerebral Infarct during Acute Care
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Comparisons of Predictive Equations for Resting Energy Expenditure in Patients with Cerebral Infarct during Acute Care

机译：急性护理期间脑梗死患者静息能量消耗预测方程的比较

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Background: Estimation of resting energy expenditure (REE) is essential in planning nutrition support. Several equations are used for this estimation in the clinical setting. The purpose of this study was to compare the predictive accuracy of existing equations for REE in patients with cerebral infarct during acute care. Methods: We assessed the Harris-Benedict, Mifflin, Owen, Japanese simplified, Wang, and Cunningham equations. The Owen and Japanese simplified equations use sex and weight as explanatory variables, the Harris-Benedict and Mifflin equations include sex, weight, age, and height, and the Wang and Cunningham equations use fat-free mass (FFM) measured using bioelectrical impedance technology. Actual REE values were measured by indirect calorimetry on days 2 and 7 and were then averaged. Applying analysis of variance, predictive accuracy was assessed by comparing the predicted and actual values. Results: A total of 30 patients were analyzed. Actual REE values ranged from 796 to 1637 kcal (mean, 1109). The standard deviation of these values was the smallest with the Harris-Benedict equation (99), followed by the Cunningham (165), and Wang (181) equations. The Mifflin equation underestimated REE in females, whereas the Owen and Japanese simplified equations tended to overestimate it. Conclusions: Based on our results, the Harris-Benedict equation provides the most accurate prediction of REE. In addition, the Cunningham and Wang equations may be useful in long-term care settings involving patients at risk of malnutrition resulting in uneven loss of FFM relative to weight. (C) 2015 by National Stroke Association
机译：背景：静态能量消耗（REE）的估算对于规划营养支持至关重要。在临床环境中，使用多个方程式进行此估算。这项研究的目的是比较现有公式对REE的预测准确性在脑梗死患者的急性护理期间。方法：我们评估了哈里斯-本尼迪克特，米夫林，欧文，日语简化版，王和坎宁安方程。 Owen和Japanese简化方程式使用性别和体重作为解释变量，Harris-Benedict和Mifflin方程式包含性别，体重，年龄和身高，Wang和Cunningham方程式使用通过生物电阻抗技术测量的无脂肪质量（FFM） 。在第2天和第7天通过间接量热法测量实际REE值，然后取平均值。应用方差分析，通过比较预测值和实际值来评估预测准确性。结果：共分析了30例患者。实际REE值范围为796至1637 kcal（平均值，1109）。这些值的标准偏差在Harris-Benedict方程（99）中最小，其次是Cunningham（165）和Wang（181）方程。 Mifflin方程低估了女性的REE，而Owen和Japanese简化方程则倾向于高估它。结论：根据我们的结果，Harris-Benedict方程可提供最准确的REE预测。另外，坎宁安和王等式在涉及有营养不良风险的患者的长期护理环境中可能很有用，导致患者相对于体重而言，FFM的损失不均匀。 （C）国家卒中协会2015年

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