Li Guowei, Thabane Lehana, Ioannidis George, Kennedy Courtney, Papaioannou Alexandra, Adachi Jonathan D
Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada; St. Joseph's Hospital, McMaster University, Hamilton, Ontario, Canada.
PLoS One. 2015 Mar 12;10(3):e0120144. doi: 10.1371/journal.pone.0120144. eCollection 2015.
To compare the predictive accuracy of the frailty index (FI) of deficit accumulation and the phenotypic frailty (PF) model in predicting risks of future falls, fractures and death in women aged ≥55 years.
Based on the data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) 3-year Hamilton cohort (n = 3,985), we compared the predictive accuracy of the FI and PF in risks of falls, fractures and death using three strategies: (1) investigated the relationship with adverse health outcomes by increasing per one-fifth (i.e., 20%) of the FI and PF; (2) trichotomized the FI based on the overlap in the density distribution of the FI by the three groups (robust, pre-frail and frail) which were defined by the PF; (3) categorized the women according to a predicted probability function of falls during the third year of follow-up predicted by the FI. Logistic regression models were used for falls and death, while survival analyses were conducted for fractures.
The FI and PF agreed with each other at a good level of consensus (correlation coefficients ≥ 0.56) in all the three strategies. Both the FI and PF approaches predicted adverse health outcomes significantly. The FI quantified the risks of future falls, fractures and death more precisely than the PF. Both the FI and PF discriminated risks of adverse outcomes in multivariable models with acceptable and comparable area under the curve (AUCs) for falls (AUCs ≥ 0.68) and death (AUCs ≥ 0.79), and c-indices for fractures (c-indices ≥ 0.69) respectively.
The FI is comparable with the PF in predicting risks of adverse health outcomes. These findings may indicate the flexibility in the choice of frailty model for the elderly in the population-based settings.
比较累积缺陷虚弱指数(FI)和表型虚弱(PF)模型在预测≥55岁女性未来跌倒、骨折和死亡风险方面的预测准确性。
基于全球女性骨质疏松症纵向研究(GLOW)3年汉密尔顿队列(n = 3985)的数据,我们采用三种策略比较FI和PF在跌倒、骨折和死亡风险方面的预测准确性:(1)通过将FI和PF每增加五分之一(即20%)来研究与不良健康结局的关系;(2)根据PF定义的三组(强健、虚弱前期和虚弱)FI密度分布的重叠情况将FI三分;(3)根据FI预测的随访第三年跌倒的预测概率函数对女性进行分类。跌倒和死亡采用逻辑回归模型,骨折采用生存分析。
在所有三种策略中,FI和PF的一致性水平良好(相关系数≥0.56)。FI和PF方法均能显著预测不良健康结局。FI比PF更精确地量化了未来跌倒、骨折和死亡的风险。在多变量模型中,FI和PF对跌倒(曲线下面积[AUC]≥0.68)和死亡(AUC≥0.79)以及骨折的c指数(c指数≥0.69)的不良结局风险的区分能力均可接受且相当。
在预测不良健康结局风险方面,FI与PF相当。这些发现可能表明在基于人群的环境中,为老年人选择虚弱模型时具有灵活性。