Estimation of appendicular skeletal muscle: Development and validation of anthropometric prediction equations in Chinese patients with knee osteoarthritis

Abstract

Objective To develop anthropometric prediction equations for estimating appendicular skeletal muscle (ASM) in Chinese knee osteoarthritis patients. Methods Subjects were divided into the model development group (MD group: 104 cases, 47 men and 57 women) and cross‐validation group (CV group: 69 cases, 38 men and 31 women). Stepwise multiple linear regression analyses were undertaken in the MD group to identify the best equations. Agreement between the estimated ASM and ASM measured by dual‐energy X‐ray absorptiometry (DXA) was tested in the CV group. Results Two models were developed in the MD group. Validation in the CV group showed that our models (R2 = 0.83 and R2 = 0.90) had a high coefficient of determination. The mean bias of ASM estimated by the two models from the ASM measured by DXA in the CV group showed no significant difference (P > 0.05). Conclusion These models could be useful for older Chinese patients with knee osteoarthritis to estimate ASM.

Development and Validation of Estimation Equations for Appendicular Skeletal Muscle Mass in Chinese Community-Dwelling Older Adults

“…However, no older people over 70 years old are involved in these studies. The equation developed by Wu et al 24 was based on older people with knee osteoarthritis. The equations proposed by Liu, 1 Chien, 25 Hsiao 20 et al were generalized from small sample size (140~510).…”

“…Furthermore, the inclusion of physical function in different studies has varying influence on the predictive accuracy of the model. 20 , 24 The estimating models of ASM were also developed in Chinese populations, but the studies had small sample sizes, 20 , 25 limited populations, 24 , 26 or lack of the validation of the evaluation method. 27 …”

“…Furthermore, the inclusion of physical function in different studies has varying influence on the predictive accuracy of the model. 20,24 The estimating models of ASM were also developed in Chinese populations, but the studies had small sample sizes, 20,25 limited populations, 24,26 or lack of the validation of the evaluation method. 27 In this study, we aimed to develop and validate simple equation for ASM estimation with anthropometric parameters and physical function parameters in community-dwelling older adults.…”