Literature DB >> 34591238

Creatinine generation rate can detect sarcopenia in patients with hemodialysis.

Yukari Mae1, Tomoaki Takata2, Kentaro Yamada1, Shintaro Hamada1, Marie Yamamoto1, Takuji Iyama1, Hajime Isomoto1.   

Abstract

BACKGROUND: Sarcopenia is strongly associated with long-term mortality in patients undergoing hemodialysis. The diagnostic modalities used to assess muscle mass, such as bioimpedance analysis and dual-energy X-ray absorption measurement, have limitations for application in patients on hemodialysis. Therefore, there is a need to establish a simple index for assessing muscle mass that can be universally performed in patients on hemodialysis.
METHODS: Patients on maintenance hemodialysis were included in this study. Laboratory tests, skeletal muscle mass measured by bioimpedance analysis, and clinical records were obtained retrospectively. The creatinine generation rate (CGR) was calculated from the pre- and postdialysis blood tests using a kinetic model as the index for whole-body muscle mass. Correlations between the CGR and skeletal muscle mass were investigated, and the cut-off value for muscle wasting was determined. Kaplan-Meier survival analysis was performed to investigate the feasibility of the CGR for predicting long-term survival.
RESULTS: Among the 130 patients included, eight were diagnosed with sarcopenia by bioimpedance analysis. The CGR was positively correlated with skeletal muscle mass (r = 0.454, p < 0.001). Multiple linear regression analysis revealed that age and sex independently influenced the CGR. The patients were classified into two groups according to age- and sex-adjusted CGRs. During a median follow-up period of 32 months, the Kaplan-Meier survival analysis showed that patients with low CGR showed significantly poor long-term prognosis (p = 0.002).
CONCLUSION: The CGR is a simple index for muscle mass and can predict long-term mortality in patients on hemodialysis.
© 2021. Japanese Society of Nephrology.

Entities:  

Keywords:  Biomarker; Creatinine index; Kinetic model; MIA syndrome; Muscle wasting; Survival

Mesh:

Substances:

Year:  2021        PMID: 34591238     DOI: 10.1007/s10157-021-02142-4

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


  2 in total

1.  Race and diabetes as death risk predictors in hemodialysis patients.

Authors:  E G Lowrie; N L Lew; W H Huang
Journal:  Kidney Int Suppl       Date:  1992-10       Impact factor: 10.545

2.  Skeletal muscle mass is associated with erythropoietin response in hemodialysis patients.

Authors:  Tomoaki Takata; Yukari Mae; Kentaro Yamada; Sosuke Taniguchi; Shintaro Hamada; Marie Yamamoto; Takuji Iyama; Hajime Isomoto
Journal:  BMC Nephrol       Date:  2021-04-16       Impact factor: 2.388

  2 in total
  1 in total

1.  Association of the modified creatinine index with muscle strength and mortality in patients undergoing hemodialysis.

Authors:  Rongrong Tian; Liyang Chang; Dan Liu; Fenxia Luo; Ying Zhang; Linghong Cheng; Hongmei Zhang
Journal:  Ren Fail       Date:  2022-12       Impact factor: 3.222

  1 in total

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