Division of Geriatrics, University of Sao Paulo Medical School, Sao Paulo, Brazil.
Division of Geriatrics, University of California, San Francisco, California.
J Am Geriatr Soc. 2019 Mar;67(3):477-483. doi: 10.1111/jgs.15683. Epub 2018 Nov 23.
Physical frailty is a powerful tool for identifying nondisabled individuals at high risk of adverse outcomes. The extent to which cognitive impairment in those without dementia adds value to physical frailty in detecting high-risk individuals remains unclear.
To estimate the effects of combining physical frailty and cognitive impairment without dementia (CIND) on the risk of basic activities of daily living (ADL) dependence and death over 8 years.
Prospective cohort study.
The Health and Retirement Study (HRS).
A total of 7338 community-dwelling people, 65 years or older, without dementia and ADL dependence at baseline (2006-2008). Follow-up assessments occurred every 2 years until 2014.
The five components of the Cardiovascular Health Study defined physical frailty. A well-validated HRS method, including verbal recall, series of subtractions, and backward count task, assessed cognition. Primary outcomes were time to ADL dependence and death. Hazard models, considering death as a competing risk, associated physical frailty and CIND with outcomes after adjusting for sociodemographics, comorbidities, depression, and smoking status.
The prevalence of physical frailty was 15%; CIND, 19%; and both deficits, 5%. In unadjusted and adjusted analyses, combining these factors identified older adults at an escalating risk for ADL dependence (no deficit = 14% [reference group]; only CIND = 26%, sub-hazard ratio [sHR] = 1.5, 95% confidence interval [CI] = 1.3-1.8; only frail = 33%, sHR = 1.7, 95% CI = 1.4-2.0; both deficits = 46%, sHR = 2.0, 95%CI = 1.6-2.6) and death (no deficit = 21%; only CIND = 41%, HR = 1.6, 95% CI = 1.4-1.9; only frail = 56%, HR = 2.2, 95% CI = 1.7-2.7; both deficits = 66%, HR = 2.6, 95% CI = 2.0-3.3) over 8-year follow-up. Adding the cognitive measure to models that already included physical frailty alone increased accuracy in identifying those at higher risk of ADL dependence (Harrell's concordance [C], 0.74 vs 0.71; P < .001) and death (Harrell's C, 0.70 vs 0.67; P < .001).
Physical frailty and CIND are independent predictors of incident disability and death. Because together physical frailty and CIND identify vulnerable older adults better, optimal risk assessment should supplement measures of physical frailty with measures of cognitive function. J Am Geriatr Soc 67:477-483, 2019.
身体虚弱是识别无残疾个体高风险不良结局的有力工具。在没有痴呆症的人群中,认知障碍在检测高风险个体方面对身体虚弱的补充价值仍不清楚。
估计身体虚弱和无痴呆认知障碍(CIND)合并对基本日常生活活动(ADL)依赖和 8 年后死亡风险的影响。
前瞻性队列研究。
健康与退休研究(HRS)。
共有 7338 名无痴呆症和 ADL 依赖的社区居住者,年龄在 65 岁或以上,基线时(2006-2008 年)无身体虚弱和 ADL 依赖。每 2 年进行一次随访评估,直至 2014 年。
心血管健康研究定义的五个组成部分定义了身体虚弱。采用经过充分验证的 HRS 方法,包括口头回忆、数列减法和倒数任务,评估认知能力。主要结局是 ADL 依赖和死亡的时间。在考虑死亡为竞争风险的情况下,使用风险模型,调整社会人口统计学、合并症、抑郁和吸烟状况后,将身体虚弱和 CIND 与结局相关联。
身体虚弱的患病率为 15%;CIND 为 19%;两者均存在缺陷为 5%。在未经调整和调整分析中,将这些因素结合起来,可以识别出 ADL 依赖风险逐渐增加的老年人(无缺陷=14%[参考组];仅有 CIND=26%,亚危险比[sHR] = 1.5,95%置信区间[CI] = 1.3-1.8;仅有虚弱=33%,sHR = 1.7,95% CI = 1.4-2.0;两者均有缺陷=46%,sHR = 2.0,95% CI = 1.6-2.6)和死亡(无缺陷=21%;仅有 CIND=41%,HR=1.6,95% CI = 1.4-1.9;仅有虚弱=56%,HR=2.2,95% CI = 1.7-2.7;两者均有缺陷=66%,HR = 2.6,95% CI = 2.0-3.3)在 8 年的随访中。将认知测量值添加到仅包含身体虚弱的模型中,提高了识别 ADL 依赖风险较高的个体的准确性(哈雷尔一致性[C],0.74 与 0.71;P <.001)和死亡(哈雷尔一致性[C],0.70 与 0.67;P <.001)。
身体虚弱和 CIND 是残疾和死亡的独立预测因素。由于身体虚弱和 CIND 一起可以更好地识别脆弱的老年人,因此最佳风险评估应补充身体虚弱的测量,同时补充认知功能的测量。美国老年医学会 67:477-483, 2019。