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Abstract：
OBJECTIVE: It is recommended by Asian Working Group for Sarcopenia to early identify people at risk for sarcopenia using simple screening tools like SARC-F. The modified version SARC-F+EBM showed higher diagnostic performance. However, this cut-off value of body mass index (BMI) remained uncertain to be used in Chinese population. In this study, we used appropriate BMI recommended for Chinese older population and further modified SARC-F+EBM by combining calf circumference.
METHODS: Diagnostic tests were performed and the receiver operating characteristics analyses were conducted between the SARC-F, SARC-F+EBM (cut-off of BMI: ≤ 21 kg/m2), SARC-F+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2), SARC-CalF and SARC-CalF+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2) in 1660 community-dwelling participants aged ≥ 65 years from China.
RESULTS: The participants had an average age of 71.7±5.1 years, of which 56.8% were women. All the modified models could enhance the areas under the receiver operating characteristic curve (AUC) of original SARC-F (all p<0.001). The SARC-F+EBM (CN) also showed a significantly higher sensitivity of 47.4% (p<0.001) and an AUC of 0.809 (p=0.005) than SARC-F+EBM. SARC-CalF+EBM (CN) was validated to be of great diagnostic value of the highest AUC of 0.88 among these sarcopenia screening tools, including SARC-F, SARC-CalF and SARC-F+EBM (CN) (all p<0.001). Using this study population as a reference, the optimal cut-off value of SARC-CalF+EBM (CN) is ≥12 points, with a sensitivity of 79.3% and a specificity of 80.7%.
CONCLUSIONS: The SARC-F+EBM (CN) and SARC-CalF+EBM (CN) could enhance the diagnostic performance of SARC-F and SARC-F+EBM and are suitable sarcopenia screening tools for Chinese population.
METHODS: Diagnostic tests were performed and the receiver operating characteristics analyses were conducted between the SARC-F, SARC-F+EBM (cut-off of BMI: ≤ 21 kg/m2), SARC-F+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2), SARC-CalF and SARC-CalF+EBM (CN) (cut-off of BMI: ≤ 22 kg/m2) in 1660 community-dwelling participants aged ≥ 65 years from China.
RESULTS: The participants had an average age of 71.7±5.1 years, of which 56.8% were women. All the modified models could enhance the areas under the receiver operating characteristic curve (AUC) of original SARC-F (all p<0.001). The SARC-F+EBM (CN) also showed a significantly higher sensitivity of 47.4% (p<0.001) and an AUC of 0.809 (p=0.005) than SARC-F+EBM. SARC-CalF+EBM (CN) was validated to be of great diagnostic value of the highest AUC of 0.88 among these sarcopenia screening tools, including SARC-F, SARC-CalF and SARC-F+EBM (CN) (all p<0.001). Using this study population as a reference, the optimal cut-off value of SARC-CalF+EBM (CN) is ≥12 points, with a sensitivity of 79.3% and a specificity of 80.7%.
CONCLUSIONS: The SARC-F+EBM (CN) and SARC-CalF+EBM (CN) could enhance the diagnostic performance of SARC-F and SARC-F+EBM and are suitable sarcopenia screening tools for Chinese population.
摘要：
目的：亚洲肌肉减少症工作组建议使用SARC-F等简单的筛查工具早期识别有肌肉减少症风险的人。修改版本SARC-F+EBM显示出更高的诊断性能。然而,这一体重指数(BMI)的临界值在中国人群中的应用仍不确定.在这项研究中,我们使用了适合中国老年人群的BMI,并结合小腿围进一步修正了SARC-F+EBM.
方法：进行了诊断测试，并在SARC-F，SARC-F+EBM（BMI截止值：≤21kg/m2），SARC-F+EBM(CN)(BMI截止值:≤22kg/m2),来自中国的1660名年龄≥65岁的社区居民参与者的SARC-CalF和SARC-CalFEBM（CN）（BMI截止值：≤22kg/m2）。
结果：参与者的平均年龄为71.7±5.1岁，其中56.8%是女性。所有修改的模型都可以增强原始SARC-F的受试者工作特征曲线（AUC）下的面积（所有p<0.001）。与SARC-F+EBM相比,SARC-F+EBM(CN)还显示出47.4%(p<0.001)的显著更高的灵敏度和0.809(p=0.005)的AUC。SARC-CalF+EBM(CN)被证实在这些少肌症筛查工具中具有最高AUC0.88的巨大诊断价值，包括SARC-F,SARC-CalF和SARC-F+EBM(CN)(所有p<0.001)。以本研究人群为参考，SARC-CalF+EBM(CN)的最佳截止值≥12点，敏感性为79.3%，特异性为80.7%。
结论：SARC-F+EBM（CN）和SARC-CalF+EBM（CN）可以提高SARC-F和SARC-F+EBM的诊断性能，是适合中国人群的肌肉减少症筛查工具。
方法：进行了诊断测试，并在SARC-F，SARC-F+EBM（BMI截止值：≤21kg/m2），SARC-F+EBM(CN)(BMI截止值:≤22kg/m2),来自中国的1660名年龄≥65岁的社区居民参与者的SARC-CalF和SARC-CalFEBM（CN）（BMI截止值：≤22kg/m2）。
结果：参与者的平均年龄为71.7±5.1岁，其中56.8%是女性。所有修改的模型都可以增强原始SARC-F的受试者工作特征曲线（AUC）下的面积（所有p<0.001）。与SARC-F+EBM相比,SARC-F+EBM(CN)还显示出47.4%(p<0.001)的显著更高的灵敏度和0.809(p=0.005)的AUC。SARC-CalF+EBM(CN)被证实在这些少肌症筛查工具中具有最高AUC0.88的巨大诊断价值，包括SARC-F,SARC-CalF和SARC-F+EBM(CN)(所有p<0.001)。以本研究人群为参考，SARC-CalF+EBM(CN)的最佳截止值≥12点，敏感性为79.3%，特异性为80.7%。
结论：SARC-F+EBM（CN）和SARC-CalF+EBM（CN）可以提高SARC-F和SARC-F+EBM的诊断性能，是适合中国人群的肌肉减少症筛查工具。
