Department of Clinical Sciences and Community Health, University of Milan, Italy; Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
Department of Neuroscience, IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milano, Italy.
Eur J Intern Med. 2018 Oct;56:11-18. doi: 10.1016/j.ejim.2018.06.001. Epub 2018 Jun 12.
Frailty is a state of increased vulnerability to stressors, associated to poor health outcomes. The aim of this study was to design and introduce a Frailty Index (FI; according to the age-related accumulation of deficit model) in a large cohort of hospitalized older persons, in order to benefit from its capacity to comprehensively weight the risk profile of the individual.
Patients aged 65 and older enrolled in the REPOSI register from 2010 to 2016 were considered in the present analyses. Variables recorded at the hospital admission (including socio-demographic, physical, cognitive, functional and clinical factors) were used to compute the FI. The prognostic impact of the FI on in-hospital and 12-month mortality was assessed.
Among the 4488 patients of the REPOSI register, 3847 were considered eligible for a 34-item FI computation. The median FI in the sample was 0.27 (interquartile range 0.21-0.37). The FI was significantly predictive of both in-hospital (OR 1.61, 95%CI 1.38-1.87) and overall (HR 1.46, 95%CI 1.32-1.62) mortality, also after adjustment for age and sex.
The FI confirms its strong predictive value for negative outcomes. Its implementation in cohort studies (including those conducted in the hospital setting) may provide useful information for better weighting the complexity of the older person and accordingly design personalized interventions.
衰弱是一种对压力源易感性增加的状态,与较差的健康结果相关。本研究旨在为大量住院老年人设计和引入衰弱指数(FI;根据与年龄相关的缺陷积累模型),以充分利用其综合衡量个体风险状况的能力。
本研究纳入了 2010 年至 2016 年登记在 REPOSI 登记处的年龄在 65 岁及以上的患者。在入院时记录的变量(包括社会人口统计学、身体、认知、功能和临床因素)用于计算 FI。FI 对住院和 12 个月死亡率的预后影响进行了评估。
在 REPOSI 登记处的 4488 名患者中,有 3847 名患者符合计算 34 项 FI 的条件。样本的中位数 FI 为 0.27(四分位距 0.21-0.37)。FI 对住院(OR 1.61,95%CI 1.38-1.87)和全因(HR 1.46,95%CI 1.32-1.62)死亡率均具有显著的预测价值,即使在调整年龄和性别后也是如此。
FI 证实了其对不良结局的强大预测价值。在队列研究(包括在医院环境中进行的研究)中实施 FI 可以为更好地加权老年人的复杂性提供有用信息,并相应地设计个性化干预措施。