PLoS One. 2016;11(2):e0148495.
A New Equation to Estimate Muscle Mass from Creatinine and Cystatin C.
제1저자 김선욱 · 교신저자 이하정
소속 (4)
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
- Seoul National University College of Medicine, Seoul, Republic of Korea.
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Abstract
BACKGROUND With 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.
METHODS To 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.
RESULTS Serum 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).
CONCLUSION The new equation based on serum creatinine and cystatin C levels can be used to estimate total-body muscle mass.
Figures
그림 출처: PubMed Central 공개 논문 (PMC4744004)
Conflict of interest statement
Competing Interests:The authors have declared that no competing interests exist.
그 밖의 정보
- 출판 형태
- Journal Article
- 저널
- PloS one · eISSN 1932-6203
- 전자 출판
- 2016-02-05
- MeSH
- Absorptiometry, Photon / methods · Adipose Tissue / physiology · Adult · Aged · Aged, 80 and over · Creatinine / blood · Cross-Sectional Studies · Cystatin C / blood · Female · Glomerular Filtration Rate · Humans · Male · Middle Aged · Models, Biological · Muscle, Skeletal / physiology · Retrospective Studies · Sarcopenia / blood
- Substances
- Cystatin C · Creatinine
- 참고문헌
- 38편