Department of Nutrition, Asuke Hospital Aichi Prefectural Welfare Federation of Agricultural Cooperatives, 20 Nakata, Yagami-cho, Toyota 444-2351, Aichi, Japan.
Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, 57, Iwasaki-cho, Nisshin 470-0196, Aichi, Japan.
Nutrients. 2022 Dec 7;14(24):5210. doi: 10.3390/nu14245210.
Determining energy requirements are an important component of nutritional support for patients with malnutrition; however, the validity of prediction equations for resting energy expenditure (REE) is disputed in older hospitalized patients. We aimed to assess the validity of these equations in older hospitalized patients in Japan. This was a single-center, cross-sectional study of 100 patients aged ≥70 years, hospitalized between January 2020 and December 2021. REE was measured using an indirect calorimeter and was compared to the predicted values calculated from five REE prediction equations. The mean (95% confidence interval) measured REE was 968.1 (931.0, 1005.3) kcal/day, and the mean predicted REE was higher for the FAO/WHO/UNU (1014.3 [987.1, 1041.6] kcal/day, p = 0.164) and Schofield (1066.0 [1045.8, 1086.2] kcal/day, p < 0.001) equations and lower for the Harris-Benedict (898.6 [873.1, 924.1] kcal/day, p = 0.011), Ganpule (830.1 [790.3, 869.9] kcal/day, p < 0.001), and body weight (kg) × 20 (857.7 [821.9, 893.5] kcal/day, p < 0.001) equations. In the age group analysis, none of the predicted values were within a 10% error for more than 80% of patients aged 70−89 years and ≥90 years. The five REE prediction equations did not provide accurate estimates. Validated REE prediction equations need to be developed for older hospitalized patients.
确定能量需求是营养不良患者营养支持的一个重要组成部分；然而，预测静息能量消耗（REE）的方程在老年住院患者中的有效性存在争议。我们旨在评估这些方程在日本老年住院患者中的有效性。这是一项单中心、横断面研究，纳入了 2020 年 1 月至 2021 年 12 月期间住院的 100 名年龄≥70 岁的患者。REE 使用间接测热法测量，并与从五个 REE 预测方程计算得出的预测值进行比较。测量的 REE 的平均值（95%置信区间）为 968.1（931.0，1005.3）千卡/天，FAO/WHO/UNU（1014.3[987.1，1041.6]千卡/天，p=0.164）和 Schofield（1066.0[1045.8，1086.2]千卡/天，p<0.001）方程的预测值较高，而 Harris-Benedict（898.6[873.1，924.1]千卡/天，p=0.011）、Ganpule（830.1[790.3，869.9]千卡/天，p<0.001）和体重（kg）×20（857.7[821.9，893.5]千卡/天，p<0.001）方程的预测值较低。在年龄组分析中，对于 70-89 岁和≥90 岁的患者，没有一个预测值的误差超过 10%的比例超过 80%。五个 REE 预测方程没有提供准确的估计。需要为老年住院患者开发经过验证的 REE 预测方程。
