US EPA

4193859 

Journal Article 

Novel Equations for Estimating Lean Body Mass in Patients With Chronic Kidney Disease 

Tian, X; Chen, Y; Yang, ZK; Qu, Z; Dong, J 

2017 

Yes 

Journal of Renal Nutrition
ISSN: 1051-2276
EISSN: 1532-8503 

28 

3 

156-164 

English 

29153258 

10.1053/j.jrn.2017.09.004 

WOS:000430406500004 

OBJECTIVE: Simplified methods to estimate lean body mass (LBM), an important nutritional measure representing muscle mass and somatic protein, are lacking in nondialyzed patients with chronic kidney disease (CKD). We developed and tested 2 reliable equations for estimation of LBM in daily clinical practice.

DESIGN AND METHODS: The development and validation groups both included 150 nondialyzed patients with CKD Stages 3 to 5. Two equations for estimating LBM based on mid-arm muscle circumference (MAMC) or handgrip strength (HGS) were developed and validated in CKD patients with dual-energy x-ray absorptiometry as referenced gold method.

RESULTS: We developed and validated 2 equations for estimating LBM based on HGS and MAMC. These equations, which also incorporated sex, height, and weight, were developed and validated in CKD patients. The new equations were found to exhibit only small biases when compared with dual-energy x-ray absorptiometry, with median differences of 0.94 and 0.46 kg observed in the HGS and MAMC equations, respectively. Good precision and accuracy were achieved for both equations, as reflected by small interquartile ranges in the differences and in the percentages of estimates that were 20% of measured LBM. The bias, precision, and accuracy of each equation were found to be similar when it was applied to groups of patients divided by the median measured LBM, the median ratio of extracellular to total body water, and the stages of CKD.

CONCLUSIONS: LBM estimated from MAMC or HGS were found to provide accurate estimates of LBM in nondialyzed patients with CKD.