A New Equation to Estimate Muscle Mass from Creatinine and Cystatin C |
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| Authors: | Sun-wook Kim Hee-Won Jung Cheol-Ho Kim Kwang-il Kim Ho Jun Chin Hajeong Lee |
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| Institution: | 1. Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea;2. Seoul National University College of Medicine, Seoul, Republic of Korea;3. Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea;4. Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea;University of Leicester, UNITED KINGDOM |
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| Abstract: | BackgroundWith evaluation for physical performance, measuring muscle mass is an important step in detecting sarcopenia. However, there are no methods to estimate muscle mass from blood sampling.MethodsTo develop a new equation to estimate total-body muscle mass with serum creatinine and cystatin C level, we designed a cross-sectional study with separate derivation and validation cohorts. Total body muscle mass and fat mass were measured using dual-energy x-ray absorptiometry (DXA) in 214 adults aged 25 to 84 years who underwent physical checkups from 2010 to 2013 in a single tertiary hospital. Serum creatinine and cystatin C levels were also examined.ResultsSerum creatinine was correlated with muscle mass (P < .001), and serum cystatin C was correlated with body fat mass (P < .001) after adjusting glomerular filtration rate (GFR). After eliminating GFR, an equation to estimate total-body muscle mass was generated and coefficients were calculated in the derivation cohort. There was an agreement between muscle mass calculated by the novel equation and measured by DXA in both the derivation and validation cohort (P < .001, adjusted R2 = 0.829, β = 0.95, P < .001, adjusted R2 = 0.856, β = 1.03, respectively).ConclusionThe new equation based on serum creatinine and cystatin C levels can be used to estimate total-body muscle mass. |
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