SARC-F 与老年胃肠道癌患者的骨骼肌质量指数相关性和可靠性较低。

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

机构信息

Laboratory of Research in Clinical Nutrition and Sports (Labince), Faculty of Nutrition, Federal University of Goiás, Goiânia, GO, Brazil.

出版信息

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

DOI:10.1016/j.clnu.2020.08.018

PMID:32907705

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.

摘要

背景与目的

评估老年癌症患者的功能和肌肉量对于减少合并症至关重要。我们假设简单快速肌少症评估量表（SARC-F）问卷可用于评估肌肉功能，但不能评估肌肉量。因此，本研究旨在评估 SARC-F 与老年胃肠道癌症患者骨骼肌质量指数（SMI）之间的相关性和可靠性。

方法

一项横断面观察性研究纳入了 108 名（63.55±8.9 岁）胃肠道癌症患者。采用 SARC-F 问卷和肌肉质量指数（SMI）对患者进行评估。SMI 采用 Lee 方程计算：四肢骨骼肌质量（ASM）除以身高。采用 Pearson 相关分析评估 SARC-F 与 SMI 之间的相关性。采用 Bland-Altman 图和 Cohen's kappa 系数评估它们之间的一致性和可靠性。统计学差异设为 p<0.05。