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老年人虚弱状态与移动能力相关的转变:采用缺陷计数的多状态建模方法。

Transitions in frailty status in older adults in relation to mobility: a multistate modeling approach employing a deficit count.

机构信息

Division of Geriatric Medicine Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, Canada.

出版信息

J Am Geriatr Soc. 2011 Mar;59(3):524-9. doi: 10.1111/j.1532-5415.2011.03300.x.

Abstract

OBJECTIVES

To investigate how changes in frailty status and mortality risk relate to baseline frailty state, mobility performance, age, and sex.

DESIGN

Cohort study.

SETTING

The Yale Precipitating Events Project, New Haven, Connecticut.

PARTICIPANTS

Seven hundred fifty-four community-dwelling people aged 70 and older at baseline followed up at 18, 36, and 54 months.

MEASUREMENTS

Frailty status, assessed at 18-month intervals, was defined using a frailty index (FI) as the number of deficits in 36 health variables. Mobility was defined as time in seconds on the rapid gait test, in which participants walked back and forth over a 20-foot course as quickly as possible. Multistate transition probabilities were calculated with baseline frailty, mobility, age, and sex estimated using Poisson and logistic regressions in survivors and those who died, respectively.

RESULTS

In multivariable analyses, baseline frailty status and age were significantly associated with changes in frailty status and risk of death, whereas mobility was significantly associated with the frailty but not with mortality. At all values of the FI, participants with better mobility were more likely than those with poor mobility to remain stable or to improve. For example, at 54 months, 20.6% (95% confidence interval (CI)=16-25.2) of participants with poor mobility had the same or fewer deficits, compared with 32.4% (95% CI=27.9-36.9) of those with better mobility.

CONCLUSION

A multistate transition model effectively measured the probability of change in frailty status and risk of death. Mobility, age, and baseline frailty were significant factors in frailty state transitions.

摘要

目的

探究衰弱状态和死亡风险的变化与基线衰弱状态、活动能力、年龄和性别之间的关系。

设计

队列研究。

地点

康涅狄格州纽黑文市的耶鲁诱发事件项目。

参与者

754 名 70 岁及以上的社区居住者,在 18、36 和 54 个月时进行随访。

测量

采用衰弱指数(FI)作为 36 个健康变量缺陷的数量,每 18 个月评估一次衰弱状态。活动能力定义为快速步态测试中的时间,即参与者尽可能快地在 20 英尺的跑道上来回行走的时间。采用泊松回归和逻辑回归分别估计基线衰弱、活动能力、年龄和性别,计算多状态转移概率。

结果

在多变量分析中,基线衰弱状态和年龄与衰弱状态的变化和死亡风险显著相关,而活动能力仅与衰弱相关,与死亡率无关。在 FI 的所有值中,活动能力较好的参与者比活动能力较差的参与者更有可能保持稳定或改善。例如,在 54 个月时,活动能力较差的参与者中有 20.6%(95%置信区间(CI)=16-25.2)的人仍然有相同或更少的缺陷,而活动能力较好的参与者中有 32.4%(95% CI=27.9-36.9)的人仍然有相同或更少的缺陷。

结论

多状态转移模型有效地衡量了衰弱状态变化和死亡风险的概率。活动能力、年龄和基线衰弱是衰弱状态转变的重要因素。

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