SARC-F has low correlation and reliability with skeletal muscle mass index in older gastrointestinal cancer patients

Clin Nutr. 2021 Mar;40(3):890-894. doi: 10.1016/j.clnu.2020.08.018. Epub 2020 Aug 26.

Abstract

Background & aims: The evaluation of function and muscle mass in older cancer patients is essential to reduce comorbidities. We hypothesized that Simple Questionnaire to Rapidly Diagnose Sarcopenia (SARC-F) questionnaire is useful to assessment the muscle function, but not muscle mass. Thus, the purpose of this study was to evaluate the correlation and reliability between the SARC-F and skeletal muscle mass index (SMI) in older gastrointestinal cancer patients.

Methods: A cross-sectional observational study enrolled 108 (63.55 ± 8.9 y) gastrointestinal cancer patients. The patients were evaluated using the SARC-F questionnaire and the muscle mass index (SMI). SMI was calculated using Lee's equation: the appendicular muscle mass (ASM) was divided by height. Pearson's correlation was used to examine the correlation between SARC-F and SMI. The Bland-Altman plot and Cohen's kappa coefficient were used to determine the concordance and reliability between them. Statistical difference was set at p < 0.05.

Results: The Bland-Altman plot showed that the difference between methods were within agreement (±1.96; p = 0.001). However, SARC-F has low concordance (κ = 0.20; standard error = 0.14) and correlation (r = -0.303; p = 0.0014) with SMI.

Conclusion: In older cancer outpatients, we found that SARC-F has low correlation and reliability with SMI.

Keywords: Cancer; SARC-F; Sarcopenia; Skeletal muscle mass.

MeSH terms

  • Aged
  • Correlation of Data
  • Cross-Sectional Studies
  • Female
  • Gastrointestinal Neoplasms / complications
  • Gastrointestinal Neoplasms / physiopathology*
  • Geriatric Assessment / methods
  • Geriatric Assessment / statistics & numerical data*
  • Health Status Indicators*
  • Humans
  • Male
  • Muscle, Skeletal / physiopathology
  • Reproducibility of Results
  • Sarcopenia / diagnosis*
  • Sarcopenia / etiology
  • Surveys and Questionnaires / standards
  • Surveys and Questionnaires / statistics & numerical data*