Literature DB >> 32213726

Creatinine/(cystatin C × body weight) ratio is associated with skeletal muscle mass index.

Kensuke Nishida1, Yoshitaka Hashimoto1, Ayumi Kaji1, Takuro Okamura1, Ryousuke Sakai1, Noriyuki Kitagawa1,2, Takafumi Osaka1,3, Masahide Hamaguchi1, Michiaki Fukui1.   

Abstract

We have previously reported that the creatinine (Cre) to cystatin C (CysC) ratio is associated with height-adjusted skeletal muscle mass index (SMI). However, weight-adjusted SMI is reported to be a more useful marker of insulin sensitivity than height-adjusted SMI. Thus, we hypothesized that the creatinine to (cystatin C × body weight [BW]) relationship (Cre/[CysC × BW]) might be associated with weight-adjusted SMI. In this cross-sectional study of 169 males and 132 females, a body composition analyzer was used and the weight-adjusted SMI was calculated as (absolute muscle mass [kg]/BW [kg]) × 100. The cut-off of low muscle mass was defined as weight-adjusted SMI <37.0% for males and <28.0% for females. The Cre/(CysC × BW) was correlated with weight-adjusted SMI in both males (r = 0.484, p < 0.001) and females (r = 0.538, p < 0.001). In addition, Cre/(CysC × BW) was associated with weight-adjusted SMI in both males (standardized β = 0.493, p < 0.001) and females (standardized β = 0.570, p < 0.001) after adjusting for covariates. According to the receiver operator characteristic (ROC) curve analysis, the optimal cut-off point of Cre/(CysC × BW) for low muscle mass was 0.0145 (area under the ROC curve [AUC] 0.756 [95% confidence interval {95% CI} 0.644-0.842], sensitivity = 0.96, specificity = 0.47, p < 0.001) in males and 0.0090 (AUC 0.976 [95% CI 0.894-0.995], sensitivity = 1.00, specificity = 0.93, p < 0.001) in females. There is a correlation between Cre/(CysC × BW) and weight-adjusted SMI. The Cre/(CysC × BW) could be a practical screening marker for low muscle mass.

Entities:  

Keywords:  Creatinine; Insulin resistance; Insulin sensitivity; Sarcopenia; Skeletal muscle mass

Mesh:

Substances:

Year:  2020        PMID: 32213726     DOI: 10.1507/endocrj.EJ19-0542

Source DB:  PubMed          Journal:  Endocr J        ISSN: 0918-8959            Impact factor:   2.349


  9 in total

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  9 in total

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