Food, Nutrition and Health Postgraduate Program, Federal University of Grande Dourados, Dourados, Brazil.
Gerontology Postgraduate Program, Federal University of Sao Carlos, Sao Carlos, Brazil.
Age Ageing. 2022 Jul 1;51(7). doi: 10.1093/ageing/afac164.
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.
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.
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.
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.
分析握力和步速在识别死亡率方面的准确性;比较使用本研究中发现的最佳截断值和文献中推荐的截断值定义的 EWGSOP1 和 EWGSOP2 与肌少症之间的相关性,并检验步速是否优于这两种定义,以识别老年人的死亡风险。
进行了一项纵向研究,涉及 6182 名年龄在 60 岁或以上的参与英国老龄化纵向研究的个体。根据 EWGSOP1 和 EWGSOP2,使用不同的低肌肉力量(LMS)截断值来定义肌少症。在 14 年的随访中分析死亡率。
与文献中的 LMS 定义(男性<32、<30、<27 和<26 kg;女性<21、<20 和<16 kg)相比,男性<36 kg(敏感性=58.59%,特异性=72.96%,曲线下面积[AUC]=0.66)和女性<23 kg(敏感性=68.90%,特异性=59.03%,AUC=0.64)以及低步速(LGS)≤0.8 m/s(敏感性=53.72%,特异性=74.02%,AUC=0.64)的截断值对死亡率具有最佳的准确性。使用本研究中发现的截断值,根据 EWGSOP2,可能的肌少症[HR=1.30(95%CI:1.16-1.46)]、肌少症[HR=1.48(95%CI:1.24-1.78)]和严重肌少症[HR=1.78(95%CI:1.49-2.12)]是死亡率风险的更好预测因素,优于 EWGSOP1。只有当 LMS 定义为低截断值时,LGS≤0.8 m/s 才是死亡率风险的更好预测因素。
对于男性,使用 LMS<36 kg,对于女性,使用 LMS<23 kg,以及 LGS≤0.8 m/s,EWGSOP2 是老年人死亡率风险的最佳预测因子。