Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Hepatology Researcharrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Hepatology Research
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions
addClaim

Calculated body muscle mass as a useful screening marker for low skeletal muscle mass and sarcopenia in chronic liver disease

Authors: Tatsuki, Ichikawa; Hisamitsu, Miyaaki; Satoshi, Miuma; Yasuhide, Motoyoshi; Mio, Yamashima; Shinobu, Yamamichi; Makiko, Koike; +8 Authors

Calculated body muscle mass as a useful screening marker for low skeletal muscle mass and sarcopenia in chronic liver disease

Abstract

AimSarcopenia is a harmful condition in patients with chronic liver disease. However, the evaluation of body muscle mass requires expensive instrumentation. The sarcopenia index (SI): (creatinine / cystatin C × 100) has been reported to correlate with muscle volume. A calculated body muscle mass (CBMM) using creatinine, cystatin C, and bodyweight also correlates with muscle mass. We evaluated the applicability of using SIs and CBMMs as screening methods for sarcopenia.MethodsPatients (n = 303) with liver damage were evaluated for creatinine, cystatin C, and grip strength (GS). All patients were evaluated using cross‐sectional computed tomography images of the third lumbar vertebrae to determine their skeletal muscle (SM) mass. CBMMs and SIs were compared with SMs, GSs, and sarcopenia.ResultsCorrelation coefficients (R) between SMI (SM / height2 [m2]) and CBMM, and between GS and CBMM were 0.643 and 0.723, respectively. Factors contributing to low GSs; low SM indices; and sarcopenia were age and SM; sex, age, GS, SI, and CBMM indices; and sex, bodyweight, and CBMM, respectively, in the multivariate logistic analyses. Receiver operating characteristic curve analysis between sarcopenia and CBMM showed an area under the receiver operating characteristic curve of 0.78504 in women and 0.86067 in men. Cut‐off CBMM values for sarcopenia were 27.903 (sensitivity 0.73958) in women and 39.731 (sensitivity 0.7941) in men.ConclusionsCBMMs and SIs are simple and minimally invasive screening methods in which low levels are indicative of sarcopenia in patients with liver disease.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!