Zeng Min, Wan Yu-Hao, Liang Yao-Dan, Shi Jing, Yang Zhi-Kai, Wang Ting, Ji Chen, He Wei, Sun Ning, Guo Di, Cui Ling-Ling, Yang Lin, Yang Jie-Fu, Wang Hua
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Eur J Med Res. 2025 May 26;30(1):417. doi: 10.1186/s40001-025-02663-8.
Frailty is associated with increased mortality in older adults, but limited studies compare frailty instruments among inpatients with long-term follow-up.
To evaluate five frailty scales for predicting 5-year all-cause mortality in older inpatients.
This prospective cohort study enrolled 917 inpatients aged ≥ 65 years. We used five commonly used scales [Clinical Frailty Scale (CFS), FRAIL, Fried, Edmonton, and the comprehensive geriatric assessment-frailty index (CGA-FI)] to screen or assess frailty and then conducted a 5-year telephone follow-up. The primary endpoint was 5-year all-cause mortality. The predictive value of different frailty scales was compared using Kaplan-Meier (K-M) survival analysis, COX regression models, and the receiver operating characteristic (ROC) curves.
The prevalence of frailty ranged from 19.5 to 36.5%. Both K-M survival curves and Cox regression confirmed that frailty patients had higher mortality risk across all scales. After multivariate adjustment, the hazard ratios from highest to lowest, were: CGA-FI, FRAIL, Fried, CFS, and Edmonton (all p < 0.05). Frailty demonstrated moderate performance, with area under the curves (AUCs) ranging from 0.70 to 0.75 (all p < 0.001). CGA-FI had the largest AUC of 0.724, revealing the best predictive value, while FRAIL had the smallest AUC of 0.666. The AUCs of Fried, Edmonton, and CFS gradually decreased, with no statistical differences. Furthermore, CFS has the highest sensitivity (77.5%).
Frailty identified by all scales is associated with an increased risk of long-term mortality. CFS is the preferred frailty screening scale, while CGA-FI is the most accurate assessment scale. Trial registration ChiCTR1800017204 (07/18/2018).
衰弱与老年人死亡率增加相关,但比较住院患者衰弱评估工具并进行长期随访的研究有限。
评估五种衰弱量表对老年住院患者5年全因死亡率的预测能力。
这项前瞻性队列研究纳入了917名年龄≥65岁的住院患者。我们使用五种常用量表[临床衰弱量表(CFS)、FRAIL量表、弗里德衰弱表型、埃德蒙顿量表和综合老年评估衰弱指数(CGA - FI)]来筛查或评估衰弱,然后进行为期5年的电话随访。主要终点是5年全因死亡率。使用Kaplan - Meier(K - M)生存分析、COX回归模型和受试者工作特征(ROC)曲线比较不同衰弱量表的预测价值。
衰弱患病率在19.5%至36.5%之间。K - M生存曲线和Cox回归均证实,在所有量表中,衰弱患者的死亡风险更高。多因素调整后,风险比从高到低依次为:CGA - FI、FRAIL量表、弗里德衰弱表型、CFS、埃德蒙顿量表(均p < 0.05)。衰弱表现为中等预测能力,曲线下面积(AUC)范围为0.70至0.75(均p < 0.001)。CGA - FI的AUC最大,为0.724,显示出最佳预测价值,而FRAIL量表的AUC最小,为0.666。弗里德衰弱表型、埃德蒙顿量表和CFS的AUC逐渐降低,但无统计学差异。此外,CFS的敏感性最高(77.5%)。
所有量表所识别的衰弱均与长期死亡风险增加相关。CFS是首选的衰弱筛查量表,而CGA - FI是最准确的评估量表。试验注册号ChiCTR1800017204(2018年7月18日)。