Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan.
National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan.
Sci Rep. 2022 Sep 3;12(1):15042. doi: 10.1038/s41598-022-19148-x.
We aimed to verify the combined use of two frailty tools in predicting mortality in older adults. We used the data of 10,276 Japanese older adults (aged ≥ 65 years) who provided valid responses to two frailty assessment tools in a mail survey in Japan's Kyoto‒Kameoka Prospective cohort study. Frailty status was categorized into four groups depending on the validated frailty screening index and Kihon Checklist, respectively: Non-frailty (n = 5960), Physical frailty (n = 223), Comprehensive frailty (n = 2211), and Combination (n = 1882) groups. Mortality data were collected between July 30, 2011, and November 30, 2016. We assessed the relationship between frailty status and all-cause mortality risk using multivariate Cox proportional hazards models. During a median follow-up of 5.3 years, we recorded 1257 deaths. After adjusting for confounders, the Combination group had the highest mortality risk compared with the other groups [Non-frailty: reference; Physical frailty: hazards ratio [HR], 0.99 (95% confidence interval [CI] 0.58 to 1.70); Comprehensive frailty: 1.91 (1.63 to 2.23); Combination: 2.85 (2.44 to 3.22)]. People who are positive for frailty in both instruments have a higher risk of death than those who are positive to one model.
我们旨在验证两种虚弱工具联合使用在预测老年人死亡率中的作用。我们使用了日本京都-龟冈前瞻性队列研究中邮寄调查中 10276 名日本老年人(年龄≥65 岁)的有效数据,这些老年人对两种虚弱评估工具做出了有效应答。根据经过验证的虚弱筛查指数和健康检查清单,虚弱状况分为四组:非虚弱组(n=5960)、身体虚弱组(n=223)、综合虚弱组(n=2211)和联合组(n=1882)。死亡率数据于 2011 年 7 月 30 日至 2016 年 11 月 30 日收集。我们使用多变量 Cox 比例风险模型评估虚弱状况与全因死亡率风险之间的关系。在中位随访 5.3 年期间,我们记录了 1257 例死亡。在调整混杂因素后,与其他组相比,联合组的死亡率风险最高[非虚弱组:参考;身体虚弱组:危险比[HR],0.99(95%置信区间[CI],0.58 至 1.70);综合虚弱组:1.91(1.63 至 2.23);联合组:2.85(2.44 至 3.22)]。在两种工具中均为阳性的人比仅有一种模型阳性的人死亡风险更高。