Department of Medicine (Faculty of Medicine), Dalhousie University, Halifax, Nova Scotia, Canada.
School of Physiotherapy (Faculty of Health), Dalhousie University, Halifax, Nova Scotia, Canada.
Age Ageing. 2024 Jun 1;53(6). doi: 10.1093/ageing/afae125.
The Osteoarthritis Initiative (OAI) evaluates the development and progression of osteoarthritis. Frailty captures the heterogeneity in aging. Use of this resource-intensive dataset to answer aging-related research questions could be enhanced by a frailty measure.
To: (i) develop a deficit accumulation frailty index (FI) for the OAI; (ii) examine its relationship with age and compare between sexes, (iii) validate the FI versus all-cause mortality and (iv) compare this association with mortality with a modified frailty phenotype.
OAI cohort study.
North America.
An FI was determined for 4,755/4,796 and 4,149/4,796 who had a valid FI and frailty phenotype.
Fifty-nine-variables were screened for inclusion. Multivariate Cox regression evaluated the impact of FI or phenotype on all-cause mortality at follow-up (up to 146 months), controlling for age and sex.
Thirty-one items were included. FI scores (0.16 ± 0.09) were higher in older adults and among females (both, P < 0.001). By follow-up, 264 people had died (6.4%). Older age, being male, and greater FI were associated with a higher risk of all-cause mortality (all, P < 0.001). The model including FI was a better fit than the model including the phenotype (AIC: 4,167 vs. 4,178) and was a better predictor of all-cause mortality than the phenotype with an area under receiver operating characteristic curve: 0.652 vs. 0.581.
We developed an FI using the OAI and validated it in relation to all-cause mortality. The FI may be used to study aging on clinical, functional and structural aspects of osteoarthritis included in the OAI.
骨关节炎倡议(OAI)评估骨关节炎的发展和进展。脆弱性捕捉衰老的异质性。使用这个资源密集型数据集来回答与衰老相关的研究问题,可以通过脆弱性测量来增强。
(i)为 OAI 开发一个缺陷积累脆弱性指数(FI);(ii)研究其与年龄的关系,并比较性别之间的关系,(iii)验证 FI 与全因死亡率的关系,(iv)比较这种与死亡率的关系与改良的脆弱性表型。
OAI 队列研究。
北美。
有有效 FI 和脆弱性表型的 4,755/4,796 和 4,149/4,796 人确定了 FI。
筛选了 59 个变量进行纳入。多变量 Cox 回归评估 FI 或表型对随访(最长 146 个月)期间全因死亡率的影响,控制年龄和性别。
纳入 31 项。FI 评分(0.16±0.09)在老年人和女性中较高(均 P<0.001)。随访期间,264 人死亡(6.4%)。年龄较大、男性和更大的 FI 与全因死亡率较高相关(均 P<0.001)。包括 FI 的模型比包括表型的模型更适合(AIC:4167 与 4178),并且在预测全因死亡率方面优于表型,其接受者操作特征曲线下面积为 0.652 与 0.581。
我们使用 OAI 开发了 FI,并验证了其与全因死亡率的关系。FI 可用于研究 OAI 中包含的临床、功能和结构方面的衰老。