Appendicular Skeletal Muscle Mass Prediction in People Living With HIV: A Cross-sectional Study

Abstract

Abstract People living with HIV (PWH) experience an accelerated aging process. There is no anthropometric predictive model for appendicular skeletal muscle mass (ASM) in PWH. This study develops anthropometric models to predict and validate ASM measured by dual energy x-ray absorptiometry (DXA) in PWH; DXA scans were obtained for 125 PWH (male = 74; age >18 years) on antiretroviral therapy. Fat mass ratio was used for lipodystrophy diagnosis. A multiple stepwise linear regression considered ASMDXA as the dependent variable and validated by PRESS method. A high power of determination and low standard estimate error were found for ASMDXA-predicted (adjusted r 2 = 0.84 to 0.87, standard estimate error = 1.7–1.6 kg) and high PRESS validation coefficients (Q2 PRESS = 0.84–0.86, SPRESS = 1.7–1.6 kg). The variables included were lipodystrophy diagnosis, medial calf circumference, sex, and total body weight. We present novel, reliable, and validated anthropometric models to predict ASMDXA in PWH.