Wu Yi-Chen, Chen Chia-Te, Shen Shu-Fen, Chen Liang-Kung, Peng Li-Ning, Tung Heng-Hsin
College of Nursing and Health Sciences, Da-Yeh University, No.168, University Rd., Dacun, Changhua 515006, Taiwan.
Graduate Institute of Clinical Nursing, College of Medicine, National Chung Hsing University, No. 145 Xingda Rd., South Dist., Taichung City 402202, Taiwan; Department of Nursing, College of Medicine, National Cheng Kung University, No.1-3, Daxue Rd., East Dist., Tainan City 70101, Taiwan.
J Nutr Health Aging. 2025 Apr;29(4):100496. doi: 10.1016/j.jnha.2025.100496. Epub 2025 Jan 30.
This study aimed to compare various frailty screening and assessment tools with the Frailty Phenotype (FP), Frailty Index (FI), and Comprehensive Geriatric Assessment (CGA), which are considered the current gold standards, among the Asia-Pacific population in community settings.
Systematic review and meta-analysis.
This review included studies evaluating frailty identification tools based on the criteria of population, index and reference tests, and diagnosis of interest.
A diagnostic test accuracy review was conducted to assess frailty instruments recommended by the Asia-Pacific Clinical Practice Guidelines. Comprehensive electronic database searches and manual searches were conducted up to August 20, 2024. Study quality, including risks of bias and applicability, was assessed using the QUADAS-2 tool. Hierarchical analysis and Youden's index were employed to identify the optimal tool and cutoff points, and pooled frailty prevalence was calculated.
Fourteen studies were included: 10 for the FRAIL scale, 3 for TUG, and 2 for the SOF index (screening tools), and 2 each for the CFS and KCL, and 1 for the REFS (assessment tools). All studies demonstrated a high risk of bias. The pooled sensitivity and specificity for screening tools were 0.63 and 0.89, respectively, whereas for assessment tools, they were 0.79 and 0.85. The pooled prevalence of frailty and pre-frailty was 19.7% and 31.7%, respectively. The pooled diagnostic odds ratios were highest for the FRAIL scale (15.72) and CFS (35.03) among the screening and assessment tools. The subgroup analysis revealed that the setting had no significant impact on screening tool performance (p = 0.58), but a borderline significant effect was observed for assessment tools (p = 0.06), although this result is limited by the small number of studies, with only one conducted in a community setting. The FRAIL scale, with a cutoff of 2, had a Youden's index of 0.60, signifying optimal screening performance.
Among the frailty instruments recommended by the Asia-Pacific Clinical Practice Guidelines, this meta-analysis identifies the FRAIL scale as the most robust tool for distinguishing frailty, with a cutoff of 2 significantly enhancing diagnostic accuracy. Furthermore, the estimated prevalence of frailty in the Asia-Pacific region is 19.7% across various community settings, underscoring the need for further research and the development of validated assessment tools tailored to this population.
本研究旨在比较各种衰弱筛查和评估工具与衰弱表型(FP)、衰弱指数(FI)和综合老年评估(CGA),在社区环境中的亚太人群中,这些被认为是当前的金标准。
系统评价和荟萃分析。
本评价纳入了根据人群、指数和参考测试以及感兴趣的诊断标准评估衰弱识别工具的研究。
进行诊断测试准确性评价,以评估亚太临床实践指南推荐的衰弱工具。截至2024年8月20日进行了全面的电子数据库检索和手工检索。使用QUADAS-2工具评估研究质量,包括偏倚风险和适用性。采用分层分析和尤登指数来确定最佳工具和临界值,并计算合并的衰弱患病率。
纳入14项研究:10项针对衰弱量表(FRAIL),3项针对定时起立行走测试(TUG),2项针对简易体能状况量表(SOF)指数(筛查工具),慢性疲劳量表(CFS)和国王学院伦敦衰老筛查量表(KCL)各2项,参考衰弱评估量表(REFS)1项(评估工具)。所有研究均显示出高偏倚风险。筛查工具的合并敏感性和特异性分别为0.63和0.89,而评估工具的合并敏感性和特异性分别为0.79和0.85。衰弱和衰弱前期的合并患病率分别为19.7%和31.7%。在筛查和评估工具中,衰弱量表(15.72)和慢性疲劳量表(35.03)的合并诊断比值比最高。亚组分析显示,设置对筛查工具性能无显著影响(p = 0.58),但对评估工具观察到临界显著效应(p = 0.06),尽管该结果受研究数量少的限制,仅有一项在社区环境中进行。截断值为2的衰弱量表,尤登指数为0.60,表明具有最佳筛查性能。
在亚太临床实践指南推荐的衰弱工具中,本荟萃分析确定衰弱量表是区分衰弱的最可靠工具,截断值为2可显著提高诊断准确性。此外,估计亚太地区不同社区环境中衰弱的患病率为19.7%,强调需要进一步研究并开发针对该人群的经过验证的评估工具。