Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong; The Chinese University of Hong Kong Jockey Club Institute of Aging, Shatin, Hong Kong.
Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong; The Chinese University of Hong Kong Jockey Club Institute of Aging, Shatin, Hong Kong.
J Am Med Dir Assoc. 2018 Mar;19(3):223-228. doi: 10.1016/j.jamda.2017.09.006. Epub 2017 Nov 1.
To examine individual items of the SARC-F in predicting adverse outcomes.
Prospective cohort study.
Community-dwelling older people in Hong Kong SAR China.
A total of 4000 men and women aged 65 years and over, stratified in 3 age groups (65-69, 70-74, 75+ years of age).
Information was collected by questionnaire, on sociodemographic details, lifestyle habits, cognitive function using the Mini-Mental State Examination, depression using the Geriatric Depression Scale, SARC-F, and physical limitation in daily activities. Physical performance measures include chair stand and walking speed. Adverse outcomes included physical limitation, lower limb strength using repeated chair stands, slow walking speed, length of hospital stay, and mortality. Predictive ability of each item of the SARC-F was assessed using receiver operating characteristic curve. Stepwise model was used to assess incremental predictive ability.
The overall ranking of the questions in order of highest predictability in terms of area under the curve values were strength, climb stairs, assistance in walking, rise from a chair, and falls. The first 3 questions individually predicted all the adverse outcomes, and in stepwise models of the individual questions, a combination of these 3 questions gave the highest area under the curve values.
The 5-item SARC-F may be shortened to 3 items (strength, climb stairs, and assistance in walking) in rapid screening for sarcopenia in clinical practice.
研究 SARC-F 的各个项目对不良结局的预测作用。
前瞻性队列研究。
中国香港特别行政区的社区居住的老年人。
共纳入 4000 名 65 岁及以上的男性和女性,按 3 个年龄组(65-69 岁、70-74 岁、75 岁及以上)分层。
采用问卷调查的方式收集社会人口学特征、生活方式、认知功能(使用简易精神状态检查)、抑郁(使用老年抑郁量表)、SARC-F 和日常生活活动中的身体限制等信息。身体机能测量包括坐站和行走速度。不良结局包括身体限制、下肢力量(使用重复坐站测试)、行走速度慢、住院时间和死亡率。使用受试者工作特征曲线评估 SARC-F 各个项目的预测能力。逐步模型用于评估增量预测能力。
根据曲线下面积值的最高预测能力对问题进行总体排名,依次为力量、爬楼梯、行走辅助、从椅子上起身和跌倒。前 3 个问题单独预测了所有不良结局,在各个问题的逐步模型中,这 3 个问题的组合得出了最高的曲线下面积值。
在临床实践中,5 项 SARC-F 可能可以简化为 3 项(力量、爬楼梯和行走辅助),用于快速筛查肌少症。