Reid Clare L
University Department of Anaesthesia, University of Cambridge, Box 93, Addenbrooke's Hospital, Hills Road, Cambridge CB2 2QQ, UK.
Clin Nutr. 2007 Oct;26(5):649-57. doi: 10.1016/j.clnu.2007.02.003. Epub 2007 Apr 6.
BACKGROUND & AIMS: A wide variation in 24h energy expenditure has been demonstrated previously in intensive care unit (ICU) patients. The accuracy of equations used to predict energy expenditure in critically ill patients is frequently compared with single or short-duration indirect calorimetry measurements, which may not represent the total energy expenditure (TEE) of these patients. To take into account this variability in energy expenditure, estimates have been compared with continuous indirect calorimetry measurements.
Continuous (24h/day for 5 days) indirect calorimetry measurements were made in patients requiring mechanical ventilation for 5 days. The Harris-Benedict, Schofield and Ireton-Jones equations and the American College of Chest Physicians recommendation of 25 kcal/kg/day were used to estimate energy requirements.
A total of 192 days of measurements, in 27 patients, were available for comparison with the different equations. Agreement between the equations and measured values was poor. The Harris-Benedict, Schofield and ACCP equations provided more estimates (66%, 66% and 65%, respectively) within 80% and 110% of TEE values. However, each of these equations would have resulted in clinically significant underfeeding (<80% of TEE) in 16%, 15% and 22% of patients, respectively, and overfeeding (>110% of TEE) in 18%, 19% and 13% of patients, respectively.
Limits of agreement between the different equations and TEE values were unacceptably wide. Prediction equations may result in significant under or overfeeding in the clinical setting.
先前已证明重症监护病房(ICU)患者的24小时能量消耗存在很大差异。用于预测危重症患者能量消耗的公式准确性常与单次或短期间接测热法测量结果相比较,而这些测量可能无法代表这些患者的总能量消耗(TEE)。为考虑能量消耗的这种变异性,已将各种估算方法与连续间接测热法测量结果进行比较。
对需要机械通气5天的患者进行连续(每天24小时,共5天)间接测热法测量。使用哈里斯-本尼迪克特方程、斯科菲尔德方程和艾尔顿-琼斯方程以及美国胸科医师学会推荐的25千卡/千克/天来估算能量需求。
共有27例患者的192天测量数据可用于与不同方程进行比较。各方程与测量值之间的一致性较差。哈里斯-本尼迪克特方程、斯科菲尔德方程和美国胸科医师学会方程分别在TEE值的80%至110%范围内提供了更多估算值(分别为66%、66%和65%)。然而,这些方程中的每一个分别会导致16%、15%和22%的患者出现临床上显著的喂养不足(<TEE的80%),以及分别导致18%、19%和13%的患者出现喂养过度(>TEE的110%)。
不同方程与TEE值之间的一致性界限宽得令人无法接受。预测方程在临床环境中可能导致显著的喂养不足或过度喂养。