清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Comparison of Two Models of Frailty for the Prediction of Mortality in Brazilian Community-Dwelling Older Adults: The FIBRA Study

医学 比例危险模型 虚弱指数 老年学 人口学 队列 队列研究 死亡风险 相对风险 生存分析 内科学 置信区间 社会学
作者
Alexandre Alves Pereira,Flavia S. A. Borim,Ivan Aprahamian,Anita Liberalesso Néri
出处
期刊:Journal of Nutrition Health & Aging [Springer Science+Business Media]
卷期号:23 (10): 1004-1010 被引量:12
标识
DOI:10.1007/s12603-019-1264-0
摘要

Prevalence of frailty is significant in Latin America. However, no previous study evaluated mortality prediction using the two most used frailty models in Brazil. The aim of the present study was to compare the frailty phenotype and the frailty index with regard to accuracy in the prediction of mortality among community-dwelling older adults. A cohort study was conducted involving 674 older adults. Thirty-five variables (signs, symptoms, chronic diseases and disabilities) were used for the construction of the frailty index (FI). The frailty phenotype index (FPI) was defined based on the criteria proposed in the Cardiovascular Health Study. Periodic verifications were performed in the databank of the Mortality Information System. Cox regression was used to estimate the relative risk (RR) of mortality and Kaplan-Meier survival curves were used in the analysis. The prevalence of frailty was greater based using the FI (16.3%) compared to the FPI (5.34%). Older adults classified as frail by the FPI had a greater risk of death (RR: 10.03; 95% CI: 4.43–22.74) that those classified as frail by the FI (RR: 0.87; 95% CI: 0.25–3.00). The lowest survival rate was found in the group of older adults classified as frail based on the FPI and classified as pre-frail and robust based on the FI. The FPI demonstrated greater accuracy in predicting the risk of mortality among Brazilian older adults than the FI. The validation of frailty measures is fundamental to the identification of older adults who are more vulnerable to adverse health events.

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
37秒前
hesse发布了新的文献求助10
42秒前
1分钟前
wang完成签到,获得积分10
1分钟前
壮观的谷冬完成签到 ,获得积分0
1分钟前
1分钟前
惜海完成签到,获得积分20
1分钟前
优秀的雨筠完成签到 ,获得积分10
1分钟前
惜海发布了新的文献求助10
1分钟前
英俊的铭应助惜海采纳,获得10
1分钟前
1分钟前
小猫蛋堡发布了新的文献求助10
1分钟前
2分钟前
Lily完成签到 ,获得积分10
2分钟前
动听雨梅完成签到 ,获得积分10
2分钟前
科研通AI6.2应助Lingzi采纳,获得10
2分钟前
忧郁小鸽子完成签到,获得积分10
3分钟前
3分钟前
4分钟前
顾矜应助科研通管家采纳,获得10
4分钟前
Lingzi发布了新的文献求助10
4分钟前
白桦哼小调完成签到 ,获得积分10
4分钟前
叶远望完成签到 ,获得积分10
4分钟前
wujiwuhui完成签到 ,获得积分10
4分钟前
willcrystal完成签到 ,获得积分10
5分钟前
光能使者完成签到 ,获得积分10
5分钟前
香蕉觅云应助科研通管家采纳,获得10
6分钟前
Lingzi发布了新的文献求助10
6分钟前
6分钟前
两个榴莲完成签到,获得积分0
6分钟前
wangye发布了新的文献求助10
6分钟前
6分钟前
科研通AI6.3应助wangye采纳,获得10
7分钟前
田帅完成签到,获得积分10
7分钟前
8分钟前
李志全完成签到 ,获得积分10
8分钟前
Owen应助wu采纳,获得10
8分钟前
wu完成签到,获得积分10
9分钟前
9分钟前
wu发布了新的文献求助10
9分钟前
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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Netter collection Volume 9 Part I upper digestive tract及Part III Liver Biliary Pancreas 3rd 2024 的超高清PDF,大小约几百兆,不是几十兆版本的 1050
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
Research Handbook on the Law of the Sea 1000
Contemporary Debates in Epistemology (3rd Edition) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6166055
求助须知:如何正确求助?哪些是违规求助? 7993568
关于积分的说明 16621030
捐赠科研通 5272186
什么是DOI,文献DOI怎么找? 2812821
邀请新用户注册赠送积分活动 1792757
关于科研通互助平台的介绍 1658841