Cumulative Deficits Better Characterize Susceptibility to Death in Elderly People than Phenotypic Frailty: Lessons from the Cardiovascular Health Study

医学 老年学 虚弱指数 队列 握力 队列研究 心血管健康 人口学 物理疗法 内科学 疾病 社会学
作者
Alexander M. Kulminski,Svetlana Ukraintseva,Irina Kulminskaya,Konstantin G. Arbeev,Kenneth Land,Anatoli I. Yashin
出处
期刊:Journal of the American Geriatrics Society [Wiley]
卷期号:56 (5): 898-903 被引量:409
标识
DOI:10.1111/j.1532-5415.2008.01656.x
摘要

To compare how well frailty measures based on a phenotypic frailty approach proposed in the Cardiovascular Health Study (CHS) and a cumulative deficits approach predict mortality.Cohort study.The main cohort of the CHS.Four thousand seven hundred twenty-one individuals.A phenotypic frailty index (PFI) was defined in the same way as proposed in the CHS: assessing weight loss, exhaustion, low physical activity, slowness, and poor grip strength. A cumulative deficit index (DI) was defined based on 48 elderly deficits (signs, symptoms, impairments, diseases) included in the index, with equal weights.Of the 1,073 frailest individuals with the lowest survival, the PFI, categorized as proposed in the CHS into robust, prefrail, and frail categories, underestimated the risk of death for 720 persons, whereas the DI categorized into the same three frailty categories underestimated the mortality risk for 134 persons. The higher power of the DI for discriminating frail individuals in their susceptibility to death also followed from comparison of quasi-instantaneous values of both indices. The three-level DI identified 219 individuals as frail of 361 individuals identified as frail according to the three-level PFI.The DI can more precisely evaluate chances of death because it assesses a broader spectrum of disorders than the PFI. Both indices appear to be frailty related. Integration of both approaches is highly promising for increasing the precision of discrimination of the risk of death and especially for identification of the most vulnerable elderly people.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
7777完成签到,获得积分20
刚刚
kking发布了新的文献求助10
1秒前
CodeCraft应助玉梅采纳,获得10
1秒前
英俊的铭应助guanze采纳,获得10
2秒前
2秒前
香蕉觅云应助小狗采纳,获得10
4秒前
纯真的寒凡完成签到,获得积分10
4秒前
ding应助达克赛德采纳,获得10
5秒前
PanLi发布了新的文献求助10
5秒前
One发布了新的文献求助10
6秒前
7秒前
8秒前
猪猪hero发布了新的文献求助10
9秒前
9秒前
优雅尔芙完成签到 ,获得积分10
9秒前
9秒前
10秒前
YMP发布了新的文献求助10
11秒前
12312wes发布了新的文献求助10
13秒前
时尚笑阳发布了新的文献求助10
13秒前
A溶大美噶发布了新的文献求助10
13秒前
金子发布了新的文献求助10
14秒前
14秒前
14秒前
lwj007发布了新的文献求助10
15秒前
CodeCraft应助kkk采纳,获得10
15秒前
15秒前
热心的雁桃完成签到,获得积分10
17秒前
Average0017发布了新的文献求助10
17秒前
成就的幻雪完成签到,获得积分10
18秒前
Akim应助李兴采纳,获得10
19秒前
Jason发布了新的文献求助10
19秒前
我是老大应助slx采纳,获得10
19秒前
haibao发布了新的文献求助10
20秒前
txyilearning完成签到 ,获得积分10
21秒前
21秒前
Lucas应助mmccc1采纳,获得10
21秒前
21秒前
Lucas应助火星上的晓曼采纳,获得10
21秒前
无奈若雁完成签到,获得积分10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Psychology and Work Today 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Kinesiophobia : a new view of chronic pain behavior 600
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5896344
求助须知:如何正确求助?哪些是违规求助? 6710025
关于积分的说明 15733926
捐赠科研通 5018814
什么是DOI,文献DOI怎么找? 2702703
邀请新用户注册赠送积分活动 1649487
关于科研通互助平台的介绍 1598601