Novel equation for estimating resting energy expenditure in patients with chronic kidney disease

被引:8
|
作者
Xu, Xiao [1 ,2 ,3 ,4 ,5 ]
Yang, Zhikai [1 ,2 ,3 ,4 ,5 ]
Ma, Tiantian [1 ,2 ,3 ,4 ,5 ]
Li, Ziqian [6 ]
Chen, Yuan [1 ,2 ,3 ,4 ,5 ]
Zheng, Yingdong [7 ]
Dong, Jie [1 ,2 ,3 ,4 ,5 ]
机构
[1] Peking Univ First Hosp, Dept Med, Renal Div, Beijing, Peoples R China
[2] Peking Univ, Inst Nephrol, Beijing, Peoples R China
[3] Minist Hlth, Key Lab Renal Dis, Beijing, Peoples R China
[4] Minist Educ, Key Lab Renal Dis, Beijing, Peoples R China
[5] Chinese Acad Med Sci, Res Units Diag & Treatment Immune Mediated Kidney, Beijing, Peoples R China
[6] Peking Univ First Hosp, Clin Nutr Dept, Beijing, Peoples R China
[7] Peking Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing, Peoples R China
来源
AMERICAN JOURNAL OF CLINICAL NUTRITION | 2021年 / 113卷 / 06期
关键词
chronic kidney disease; resting energy expenditure; indirect calorimetry; prediction equation; energy requirement; GLOMERULAR-FILTRATION-RATE; LEAN BODY-MASS; METABOLIC SYNDROME; NUTRITIONAL MANAGEMENT; HEMODIALYSIS-PATIENTS; INDIRECT CALORIMETRY; GLUCOSE-HOMEOSTASIS; DIALYSIS PATIENTS; ASSOCIATION; INSULIN;
D O I
10.1093/ajcn/nqaa431
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: In chronic kidney disease (CKD), determining energy expenditure is the precondition for recommending energy intake in nutrition management. Objectives: We aimed to develop and validate a resting energy expenditure (REE) equation for patients with CKD. Methods: This cross-sectional study enrolled 300 patients with CKD (stages 3-5) according to inclusion and exclusion criteria. Stepwise linear regression analysis was used to derive a new REE equation (eREE-CKD) according to actual REE (aREE) measured using indirect calorimetry in the development dataset. The eREE-CKD value was then validated with aREE in the validation dataset and compared with values from existing equations obtained in general populations, namely, the Harris-Benedict, Mifflin, WHO, and Schofield equations in terms of bias, precision, and accuracy. Results: The eREE-CKD equation: eREE-CKD (kcal) = (1 if male; 0 if female) x 106.0 - [1 if diabetes mellitus (DM); 0 if non-DM] x 51.6 - 4.7 x age (y) + 13.1 x weight (kg) + 645.5 (R-2 = 0.779). The bias, precision, and accuracy (percentage of estimates that differed >20% from the measured REE) of the eREE-CKD equation were -0.4 (IQR: -29.8, 23.8) kcal, 98.4 (IQR: 79.5, 116.6) kcal, and 5.4%, respectively with indirect calorimetry as the reference method. Both bias and precision of the eREE-CKD were significantly better than the Harris-Benedict, WHO, and Schofield equations (P < 0.001) and similar to the Mifflin equation (P = 0.125 for bias and 0.268 for precision). Accuracy of the eREE-CKDwas significantly better than the Harris-Benedict, WHO, Mifflin, and Schofield equations (P < 0.001). Bias, precision, and accuracy of the eREE-CKD equation were consistent when applied to subgroups categorized according to high-sensitivity C-reactive protein concentrations and CKD stages, respectively. Conclusions: The eREE-CKD equation using age, sex, weight, and DM data could serve as a reliable tool for estimating REE in patients with CKD.
引用
收藏
页码:1647 / 1656
页数:10
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