Reeves M M, Capra S, Bauer J, Davies P S W, Battistutta D
Centre for Health Research, Queensland University of Technology, Brisbane, Queensland, Australia.
Eur J Clin Nutr. 2005 Apr;59(4):603-10. doi: 10.1038/sj.ejcn.1602114.
To compare, in patients with cancer and in healthy subjects, measured resting energy expenditure (REE) from traditional indirect calorimetry to a new portable device (MedGem) and predicted REE.
Cross-sectional clinical validation study.
Private radiation oncology centre, Brisbane, Australia.
Cancer patients (n = 18) and healthy subjects (n = 17) aged 37-86 y, with body mass indices ranging from 18 to 42 kg/m(2).
Oxygen consumption (VO(2)) and REE were measured by VMax229 (VM) and MedGem (MG) indirect calorimeters in random order after a 12-h fast and 30-min rest. REE was also calculated from the MG without adjustment for nitrogen excretion (MGN) and estimated from Harris-Benedict prediction equations. Data were analysed using the Bland and Altman approach, based on a clinically acceptable difference between methods of 5%.
The mean bias (MGN-VM) was 10% and limits of agreement were -42 to 21% for cancer patients; mean bias -5% with limits of -45 to 35% for healthy subjects. Less than half of the cancer patients (n = 7, 46.7%) and only a third (n = 5, 33.3%) of healthy subjects had measured REE by MGN within clinically acceptable limits of VM. Predicted REE showed a mean bias (HB-VM) of -5% for cancer patients and 4% for healthy subjects, with limits of agreement of -30 to 20% and -27 to 34%, respectively.
Limits of agreement for the MG and Harris Benedict equations compared to traditional indirect calorimetry were similar but wide, indicating poor clinical accuracy for determining the REE of individual cancer patients and healthy subjects.
比较癌症患者和健康受试者中,通过传统间接测热法测得的静息能量消耗(REE)与一种新型便携式设备(MedGem)测得的结果以及预测的REE。
横断面临床验证研究。
澳大利亚布里斯班的私立放射肿瘤中心。
年龄在37 - 86岁之间、体重指数在18至42 kg/m²的癌症患者(n = 18)和健康受试者(n = 17)。
在禁食12小时和休息30分钟后,使用VMax229(VM)和MedGem(MG)间接热量计以随机顺序测量氧气消耗量(VO₂)和REE。REE也通过未校正氮排泄的MG(MGN)计算得出,并根据哈里斯 - 本尼迪克特预测方程进行估算。基于方法之间临床上可接受的5%差异,采用布兰德和奥特曼方法分析数据。
癌症患者中,平均偏差(MGN - VM)为10%,一致性界限为 - 42%至21%;健康受试者中,平均偏差为 - 5%,界限为 - 45%至35%。不到一半的癌症患者(n = 7,46.7%)和仅三分之一的健康受试者(n = 5,33.3%)通过MGN测得的REE在VM的临床可接受范围内。预测的REE显示,癌症患者的平均偏差(HB - VM)为 - 5%,健康受试者为4%,一致性界限分别为 - 30%至20%和 - 27%至34%。
与传统间接测热法相比,MG和哈里斯 - 本尼迪克特方程的一致性界限相似但较宽,表明在确定个体癌症患者和健康受试者的REE方面临床准确性较差。