Department of Nutrition, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China.
Asia Pac J Clin Nutr. 2024 Dec;33(4):545-553. doi: 10.6133/apjcn.202412_33(4).0009.
The objective of our study was to explore the accuracy of previously published prediction equations in predicting resting energy expenditure (REE) in patients with liver cirrhosis (LC). We also aimed to develop a novel equation to estimate REE for Chinese patients with LC.
In 90 patients with LC, the agreement between REE measured by Indirect calorimetry (IC) and predictive equations was quantified using paired T-test and visualized using a Bland-Altman Plot. Pearson correlation coefficient (R) was used to measure a linear correlation between REE measured by IC and different predictive equations. Stepwise multiple regression analysis was used to create a new REE equation.
The estimated REEs of previous equations were underestimated against REE measured by IC (1610 ± 334 kcal). Lean body mass (LBM) was positively correlated with REE measured by IC (r = 0.723, p < 0.01). The newly derived estimation equation for REE (kcal) was 1274.3 - 209.0 * sex - 5.73 * age + 3.69 * waist circumference + 22.89 * LBM. The newly derived estimation equation was found to have a Pearson-r value of 0.765 compared with REE measured by IC.
REE in liver cirrhosis was underestimated by using predictive equations. The new predictive equation developed by using age, sex, waist circumference, and LBM may help estimate REE in Chinese patients with LC accurately and easily.
本研究旨在探讨既往发表的预测方程在预测肝硬化（LC）患者静息能量消耗（REE）时的准确性。我们还旨在开发一种新的方程来估计中国 LC 患者的 REE。
在 90 例 LC 患者中，通过配对 t 检验量化了间接测热法（IC）测量的 REE 与预测方程之间的一致性，并通过 Bland-Altman 图进行可视化。Pearson 相关系数（R）用于测量 IC 测量的 REE 与不同预测方程之间的线性相关性。逐步多元回归分析用于创建新的 REE 方程。
先前方程估计的 REE 低于 IC 测量的 REE（1610 ± 334 kcal）（P < 0.01）。瘦体重（LBM）与 IC 测量的 REE 呈正相关（r = 0.723，P < 0.01）。REE（kcal）的新推导估计方程为 1274.3 - 209.0 * 性别 - 5.73 * 年龄 + 3.69 * 腰围 + 22.89 * LBM。与 IC 测量的 REE 相比，新推导的估计方程的 Pearson-r 值为 0.765。
使用预测方程低估了肝硬化患者的 REE。使用年龄、性别、腰围和 LBM 开发的新预测方程可以帮助准确、方便地估计中国 LC 患者的 REE。
