11 items found

Tags: SMM muscle mass

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  • dataset

    r37980778c78--dfa554bdeb6f470f894f071d4978f631

    (hs-CRP: serum high-sensitive C-reactive protein; LTI: lean tissue index; nPCR: normalised protein catabolism rate; SMM: skeletal muscle mass; SMMI skeletal muscle mass index).
  • dataset

    Odds ratios of presence of metabolic risk components by skeletal muscle to bo...

    Odds ratios of presence of metabolic risk components by skeletal muscle to body fat ratio (MFR) and body mass index (BMI).
  • dataset

    Physical inactivity and protein energy wasting play independent roles in musc...

    BackgroundMuscle weakness is associated with increased mortality risk in chronic haemodialysis (CHD) patients. Protein energy wasting (PEW) and low physical activity could...
  • dataset

    r37980778c78--c616dc129fb2e40c7331a6c7e8531474

    Skeletal muscle to body fat ratio (MFR) by sex, age and body mass index (BMI).
  • dataset

    Comparison of data stratified by CRP–Alb ratio in 91 consecutive adult patien...

    Comparison of data stratified by CRP–Alb ratio in 91 consecutive adult patients with HD1-3.
  • dataset

    Stepwise multiple regression analysis using SMM/wt as a dependent variable<su...

    Stepwise multiple regression analysis using SMM/wt as a dependent variable1.
  • dataset

    Skeletal muscle to body fat ratio (MFR) across body mass index (BMI) z-score ...

    Skeletal muscle to body fat ratio (MFR) across body mass index (BMI) z-score quintiles.
  • dataset

    Patient characteristics according to dialysis centers.

    Values were described by using proportions for categorical variables and median (range) for quantitative variables. Centers: #1 and #2 were dialysis centers while #3 and #4 were...
  • dataset

    r37980778c78--ac656a57a059e4ea27608ba2a1d4fbaa

    Baseline demographics, anthropometric, laboratory, and dietary features of the study population (n = 91)1.
  • dataset

    Simple regression analysis using SMM/wt as a dependent variable<sup>1</sup>.

    Simple regression analysis using SMM/wt as a dependent variable1.
  • dataset

    r37980778c78--3fae1bd81f9fc029631105e55a83f641

    Anthropometric and body composition characteristics by sex and age.