Objectives to analyse the accuracy of grip strength and gait speed in identifying mortality; to compare the association between mortality and sarcopenia defined by the EWGSOP1 and EWGSOP2 using the best cut-off found in the present study and those recommended in the literature and to test whether slowness is better than these two definitions to identify the risk of death in older adults. Methods a longitudinal study was conducted involving 6,182 individuals aged 60 or older who participated in the English Longitudinal Study of Ageing. Sarcopenia was defined based on the EWGSOP1 and EWGSOP2 using different cut-off for low muscle strength (LMS). Mortality was analysed in a 14-year follow-up. Results compared with the LMS definitions in the literature (<32, <30, <27 and < 26 kg for men; <21, <20 and < 16 kg for women), the cut-off of <36 kg for men (sensitivity = 58.59%, specificity = 72.96%, area under the curve [AUC] = 0.66) and < 23 kg for women (sensitivity = 68.90%, specificity = 59.03%, AUC = 0.64) as well as a low gait speed (LGS) ≤0.8 m/s (sensitivity = 53.72%, specificity = 74.02%, AUC = 0.64) demonstrated the best accuracy for mortality. Using the cut-off found in the present study, probable sarcopenia [HR = 1.30 (95%CI: 1.16–1.46)], sarcopenia [HR = 1.48 (95%CI: 1.24–1.78)] and severe sarcopenia [HR = 1.78 (95%CI: 1.49–2.12)] according to EWGSOP2 were better predictors of mortality risk than EWGSOP1. LGS ≤0.8 m/s was a better mortality risk predictor only when LMS was defined by low cut-off. Conclusions using LMS <36 kg for men and < 23 kg for women and LGS ≤ 0.8 m/s, EWGSOP2 was the best predictor for mortality risk in older adults.

中文翻译：

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欧洲老年人肌肉减少症工作组 2010 (EWGSOP1) 和 2019 (EWGSOP2) 标准或缓慢：哪个是老年人死亡风险的最佳预测指标？

目的分析握力和步速在识别死亡率中的准确性；使用本研究中发现的最佳截止值和文献中推荐的值比较 EWGSOP1 和 EWGSOP2 定义的死亡率和肌肉减少症之间的关联，并测试缓慢是否比这两个定义更好，以确定老年人的死亡风险成年人。方法 对参与英国老龄化纵向研究的 6,182 名 60 岁或以上的人进行纵向研究。肌肉减少症的定义基于 EWGSOP1 和 EWGSOP2，使用不同的低肌肉强度 (LMS) 截止值。在 14 年的随访中分析了死亡率。结果与文献中的 LMS 定义进行比较（男性<32、<30、<27 和 <26 kg；<21、<20 和 <26 kg；女性 16 公斤），男性的临界值 < 36 公斤（敏感性 = 58.59%，特异性 = 72.96%，曲线下面积 [AUC] = 0.66）和 < 女性体重 23 kg（敏感性 = 68.90%，特异性 = 59.03%，AUC = 0.64）以及低步态速度 (LGS) ≤0.8 m/s（敏感性 = 53.72%，特异性 = 74.02%，AUC = 0.64）死亡率的最佳准确性。使用本研究中发现的临界值，可能的肌肉减少症 [HR = 1.30 (95%CI: 1.16–1.46)]、肌肉减少症 [HR = 1.48 (95%CI: 1.24–1.78)] 和严重的肌肉减少症 [HR = 1.78 (95%CI: 1.49–2.12)] 根据 EWGSOP2 比 EWGSOP1 更好地预测死亡风险。LGS ≤0.8 m/s 只有在 LMS 定义为低截止时才是更好的死亡风险预测指标。使用 LMS 得出的结论男性 <36 kg 且 <36 kg。女性为 23 kg，LGS ≤ 0.8 m/s，