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评估能量消耗:内科病房老年住院患者预测方程与间接测热法的准确性

Assessing energy expenditure: Accuracy of predictive equations versus indirect calorimetry in older hospitalized patients at the medical ward.

作者信息

Knudsen Anne Wilkens, Engelsted Sofie Nunez, Lund Cecilia Margareta, Møller Cecilie Meldgaard, Suetta Charlotte, Rasmussen Henrik Højgaard, Munk Tina

机构信息

The Dietitians and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark.

The Dietitians and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; University College Copenhagen, Faculty of Health, Department of Nursing and Nutrition, Institute of Nutrition and Health, Copenhagen, Denmark.

出版信息

Clin Nutr ESPEN. 2025 Jul 28;69:458-467. doi: 10.1016/j.clnesp.2025.07.1118.

Abstract

BACKGROUND & AIMS: Indirect calorimetry (IC) is considered the gold standard to measure Resting Energy Expenditure (REE) in clinical practice. However, this method is more time-consuming than using estimates. Therefore, this study aimed to determine 1) the accuracy between estimated and measured energy requirement and 2) if certain patient characteristics were associated with discrepancies between measured and estimated energy requirement.

METHODS

The patient's measured REE was assessed with IC. To determine Total Energy Expenditure (TEE), an individual level of activity was applied. The measured REE and TEE were compared with the Harris-Benedict (H-B) equation and measured TEE with two weight-based formulas. A variation of ±10 % was regarded as an acceptable value of variation. To explore whether specific variables were related to differences between measurements and estimates, the following variables were recorded: age, Body Mass Index (BMI), body temperature, heart rate, Mean Arterial Pressure (MAP), respiratory rate, p-C-Reactive Protein (p-CRP), B-Leucocytes, and p-Albumin.

RESULTS

We included 110 patients (58 % women), mean age 81.5 (±7.6) years. The H-B equation most accurately predicted REE for n = 56 (51 %) and TEE for n = 57 (52 %). The H-B equation tended to underestimate REE n = 35 (32 %) rather than overestimate n = 18 (16 %). Underestimation by the H-B equation was significantly (p < 0.05) associated with having higher p-CRP, heart rate, body temperature, and B-Leucocytes. Including these variables with a significant association in a multiple linear regression model revealed that only 17 % (r = 0.170) of the variation could be explained by these variables.

CONCLUSION

The H-B equation was most accurate at predicting energy expenditure, however, only in alignment with IC measurements in about half of the patients. Several infectious markers were associated with an increase in REE compared with estimated by the H-B equation.

摘要

背景与目的

间接测热法(IC)被认为是临床实践中测量静息能量消耗(REE)的金标准。然而,该方法比使用估算值更耗时。因此,本研究旨在确定:1)估算能量需求与测量能量需求之间的准确性;2)某些患者特征是否与测量能量需求和估算能量需求之间的差异相关。

方法

用IC评估患者的测量REE。为确定总能量消耗(TEE),应用个体活动水平。将测量的REE和TEE与哈里斯-本尼迪克特(H-B)方程进行比较,并将测量的TEE与两个基于体重的公式进行比较。±10%的变化被视为可接受的变化值。为探究特定变量是否与测量值和估算值之间的差异相关,记录了以下变量:年龄、体重指数(BMI)、体温、心率、平均动脉压(MAP)、呼吸频率、对C反应蛋白(p-CRP)、B淋巴细胞和对白蛋白。

结果

我们纳入了110例患者(58%为女性),平均年龄81.5(±7.6)岁。H-B方程对n = 56例(51%)患者的REE预测最准确,对n = 57例(52%)患者的TEE预测最准确。H-B方程倾向于低估REE,n = 35例(32%),而非高估,n = 18例(16%)。H-B方程的低估与较高的p-CRP、心率、体温和B淋巴细胞显著相关(p < 0.05)。在多元线性回归模型中纳入这些具有显著相关性的变量后发现,这些变量仅能解释17%(r = 0.170)的变化。

结论

H-B方程在预测能量消耗方面最准确,但仅约一半患者与IC测量结果一致。与H-B方程估算值相比,几种感染标志物与REE升高相关。

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