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预测社区居住的老年人群长期死亡率的生理和功能指标:在新加坡老龄化纵向研究中的比较评估。

Physical and functional measures predicting long-term mortality in community-dwelling older adults: a comparative evaluation in the Singapore Longitudinal Ageing Study.

机构信息

Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore.

Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

出版信息

Aging (Albany NY). 2021 Dec 11;13(23):25038-25054. doi: 10.18632/aging.203756.

Abstract

Measures of functional status are known to predict mortality more strongly than traditional disease risk markers in old adult populations. Few studies have compared the predictive accuracy of physical and functional measures for long-term mortality. In this prospective cohort study, community-dwelling older adults ( = 2906) aged 55 + (mean age 66.6 ± 7.7 years) were followed up for mortality outcome up to 9 years (mean 5.8 years). Baseline assessments included Timed Up-and-Go (TUG), gait velocity (GV), knee extension strength, Performance Oriented Mobility Assessment, forced expiratory volume in 1 second, Mini-Mental State Examination (MMSE), Geriatric Depression Scale, frailty, and medical morbidity. A total of 111 (3.8%) participants died during 16976.7 person-years of follow up. TUG was significantly associated with mortality risk (HR = 2.60, 95% CI = 2.05-3.29 per SD increase; HR = 5.05, 95% CI = 3.27-7.80, for TUG score ≥ 9 s). In multivariate analysis, TUG remained significantly associated with mortality (HR = 1.64, 95% CI = 1.20-2.19 per SD increase; HR = 2.66, 95% CI = 1.67-4.23 for TUG score ≥ 9 s). In multivariable analyses, GV, MMSE, Frailty Index (FI) and physical frailty, diabetes and multi-morbidity were also significantly associated with mortality. However, TUG (AUC = 0.737) demonstrated significantly higher discriminatory accuracy than GV (AUC = 0.666, < 0.001), MMSE (AUC = 0.63, < 0.001), FI (AUC = 0.62, < 0.001), physical frailty (AUC = 0.610, < 0.001), diabetes (AUC = 0.582, < 0.001) and multi-morbidity (AUC = 0.589, < 0.001). TUG's predictive accuracy shows surpassing predictive accuracy for long-term mortality in community-dwelling older adults.

摘要

功能状态的衡量标准比老年人群中传统的疾病风险标志物更能准确预测死亡率。很少有研究比较过身体和功能测量指标对长期死亡率的预测准确性。在这项前瞻性队列研究中,对 2906 名年龄在 55 岁及以上(平均年龄 66.6±7.7 岁)的社区居住老年人进行了死亡率结局的随访,随访时间最长可达 9 年(平均 5.8 年)。基线评估包括计时起立行走测试(TUG)、步态速度(GV)、膝关节伸展力量、操作性能移动评估、1 秒用力呼气量、简易精神状态检查(MMSE)、老年抑郁量表、衰弱和医疗发病率。在 16976.7 人年的随访中,共有 111(3.8%)名参与者死亡。TUG 与死亡风险显著相关(每增加 1 个标准差的 HR = 2.60,95%CI = 2.05-3.29;HR = 5.05,95%CI = 3.27-7.80,TUG 评分≥9 s)。在多变量分析中,TUG 与死亡率仍显著相关(每增加 1 个标准差的 HR = 1.64,95%CI = 1.20-2.19;HR = 2.66,95%CI = 1.67-4.23,TUG 评分≥9 s)。在多变量分析中,GV、MMSE、衰弱指数(FI)和身体衰弱、糖尿病和多种合并症也与死亡率显著相关。然而,TUG(AUC = 0.737)的判别准确性明显高于 GV(AUC = 0.666,<0.001)、MMSE(AUC = 0.63,<0.001)、FI(AUC = 0.62,<0.001)、身体衰弱(AUC = 0.610,<0.001)、糖尿病(AUC = 0.582,<0.001)和多种合并症(AUC = 0.589,<0.001)。TUG 的预测准确性显示,在社区居住的老年人中,对长期死亡率具有优越的预测准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf6/8714162/8b82f5c1b642/aging-13-203756-g001.jpg

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