Koroukian Siran M, Schiltz Nicholas, Warner David F, Sun Jiayang, Bakaki Paul M, Smyth Kathleen A, Stange Kurt C, Given Charles W
Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106-4945, USA.
Department of Sociology, University of Nebraska-Lincoln, Lincoln, NE, USA.
J Gen Intern Med. 2016 Jun;31(6):630-7. doi: 10.1007/s11606-016-3590-9. Epub 2016 Feb 22.
The strategic framework on multiple chronic conditions released by the US Department of Health and Human Services calls for identifying homogeneous subgroups of older adults to effectively target interventions aimed at improving their health.
We aimed to identify combinations of chronic conditions, functional limitations, and geriatric syndromes that predict poor health outcomes. DESIGN, SETTING AND PARTICIPANTS Data from the 2010-2012 Health and Retirement Study provided a representative sample of U.S. adults 50 years of age or older (n = 16,640).
Outcomes were: Self-reported fair/poor health, self-rated worse health at 2 years, and 2-year mortality. The main independent variables included self-reported chronic conditions, functional limitations, and geriatric syndromes. We conducted tree-based classification and regression analysis to identify the most salient combinations of variables to predict outcomes.
Twenty-nine percent and 23 % of respondents reported fair/poor health and self-rated worse health at 2 years, respectively, and 5 % died in 2 years. The top combinations of conditions identified through our tree analysis for the three different outcome measures (and percent respondents with the outcome) were: a) for fair/poor health status: difficulty walking several blocks, depressive symptoms, and severe pain (> 80 %); b) for self-rated worse health at 2 years: 68.5 years of age or older, difficulty walking several blocks and being in fair/poor health (60 %); and c) for 2-year mortality: 80.5 years of age or older, and presenting with limitations in both ADLs and IADLs (> 40 %).
Rather than chronic conditions, functional limitations and/or geriatric syndromes were the most prominent conditions in predicting health outcomes. These findings imply that accounting for chronic conditions alone may be less informative than also accounting for the co-occurrence of functional limitations and geriatric syndromes, as the latter conditions appear to drive health outcomes in older individuals.
美国卫生与公众服务部发布的多重慢性病战略框架要求识别老年人群中的同质亚组,以便有效地针对旨在改善其健康状况的干预措施。
我们旨在识别能够预测不良健康结局的慢性病、功能受限和老年综合征的组合。设计、设置和参与者:2010 - 2012年健康与退休研究的数据提供了美国50岁及以上成年人的代表性样本(n = 16,640)。
结局包括:自我报告的健康状况一般/较差、2年后自我评定健康状况变差以及2年死亡率。主要自变量包括自我报告的慢性病、功能受限和老年综合征。我们进行了基于树的分类和回归分析,以识别预测结局的最显著变量组合。
分别有29%和23%的受访者报告健康状况一般/较差以及2年后自我评定健康状况变差,5%的人在2年内死亡。通过我们的树分析针对三种不同结局测量指标(以及出现该结局的受访者百分比)确定的首要状况组合为:a)对于健康状况一般/较差:行走几个街区困难、抑郁症状和重度疼痛(> 80%);b)对于2年后自我评定健康状况变差:68.5岁及以上、行走几个街区困难且健康状况一般/较差(60%);c)对于2年死亡率:80.5岁及以上,且日常生活活动和工具性日常生活活动均存在受限(> 40%)。
在预测健康结局方面,功能受限和/或老年综合征比慢性病更为突出。这些发现表明,仅考虑慢性病可能不如同时考虑功能受限和老年综合征的共同出现提供的信息多,但后两者似乎在驱动老年人的健康结局。