Madden A M, Morgan M Y
University Department of Medicine, Royal Free Hospital and School of Medicine, London, UK.
Hepatology. 1999 Sep;30(3):655-64. doi: 10.1002/hep.510300326.
Measurements of resting energy expenditure (REE) can be used to determine energy requirements. Prediction formulae can be used to estimate REE but have not been validated in cirrhotic patients. REE was measured, by indirect calorimetry, in 100 cirrhotic patients and 41 comparable healthy volunteers, and the results compared with estimates predicted using the Harris-Benedict, Schofield, Mifflin, Cunningham, and Owen formulae, and the disease-specific Müller formula. The mean (+/- 1 SD) measured REE in the healthy volunteers (1,590 +/- 306 kcal/24 h) was significantly greater than the mean Harris-Benedict, Mifflin, Cunningham, and Owen predictions but comparable with the mean Schofield prediction; individual predicted values varied widely from measured values (95% limits of agreement, -460 to +424 kcal). The mean measured REE in the cirrhotic patients was significantly greater than in the healthy volunteers (23.2 +/- 3. 8 cf 21.9 +/- 2.9 kcal/kg/24 h; P <.05). The mean measured REE in the cirrhotic patients (1,660 +/- 337 kcal/24 h) was significantly different from mean predicted values (Harris-Benedict, 1,532 +/- 252 kcal/24 h, P <.0001; Schofield, 1,575 +/- 254 kcal/24 h, P <.0005; Mifflin, 1,460 +/- 254 kcal/24 h, P <.0001; Cunningham, 1,713 +/- 252 kcal/24 h, P <.05; Owen, 1,521 +/- 281 kcal/24 h, P <.0001; Müller, 1,783 +/- 204 kcal/24 h, P <.0001); individual predicted values varied widely from measured values (95% limits of agreement, -632 to +573 kcal). Simple regression analysis showed that fat-free mass (FFM) was the strongest predictor of measured REE in the cirrhotic patients, accounting for 52% of the variation observed. However, a population-specific prediction equation, derived using stepwise regression analysis, which incorporated FFM, age, and Pugh's score, accounted for only 61% of the observed variation in measured REE. REE should, therefore, be measured in cirrhotic patients, not predicted.
静息能量消耗(REE)的测量可用于确定能量需求。预测公式可用于估算REE,但尚未在肝硬化患者中得到验证。通过间接测热法对100例肝硬化患者和41名健康对照者进行REE测量,并将结果与使用Harris-Benedict、Schofield、Mifflin、Cunningham和Owen公式以及疾病特异性的Müller公式预测的结果进行比较。健康对照者的平均(±1标准差)测量REE(1590±306千卡/24小时)显著高于Harris-Benedict、Mifflin、Cunningham和Owen公式的平均预测值,但与Schofield公式的平均预测值相当;个体预测值与测量值差异很大(一致性界限95%,-460至+424千卡)。肝硬化患者的平均测量REE显著高于健康对照者(23.2±3.8对比21.9±2.9千卡/千克/24小时;P<.05)。肝硬化患者的平均测量REE(1660±337千卡/24小时)与平均预测值显著不同(Harris-Benedict公式,1532±252千卡/24小时,P<.0001;Schofield公式,1575±254千卡/24小时,P<.0005;Mifflin公式,1460±254千卡/24小时,P<.0001;Cunningham公式,1713±252千卡/24小时,P<.05;Owen公式,1521±281千卡/24小时,P<.0001;Müller公式,1783±204千卡/24小时,P<.0001);个体预测值与测量值差异很大(一致性界限95%,-632至+573千卡)。简单回归分析显示,去脂体重(FFM)是肝硬化患者测量REE的最强预测因素,占观察到的变异的52%。然而,使用逐步回归分析得出的包含FFM、年龄和Pugh评分的人群特异性预测方程仅占测量REE观察到变异的61%。因此,对于肝硬化患者,应测量而非预测REE。