Identification of modified dynamic gait index cutoff scores for assessing fall risk in people with Parkinson disease, stroke and multiple sclerosis

物理医学与康复 步态 逻辑回归 平衡(能力) 医学 物理疗法 内科学
作者
Alessandro Torchio,Chiara Corrini,Denise Anastasi,Riccardo Parelli,Matteo Meotti,Albino Spedicato,Elisabetta Groppo,Alessia d’Arma,Cristina Grosso,Angelo Montesano,Davide Cattaneo,Elisa Gervasoni
出处
期刊:Gait & Posture [Elsevier BV]
卷期号:91: 1-6 被引量:10
标识
DOI:10.1016/j.gaitpost.2021.09.201
摘要

Balance and gait impairments increase fall rate and injury in people with neurological disorders(PwND). The modified Dynamic Gait Index(mDGI) is a scale assessing dynamic balance during walking, however its ability in identifying Fallers and Recurrent Fallers has not been studied.To evaluate mDGI's ability in identifying retrospective Fallers and Recurrent Fallers establishing cut-off scores for its use in clinical practice.In this cross-sectional study, the number of retrospective falls and mDGI scores were collected. PwND were categorised as Non-Fallers or Fallers (falls≥1) and as Recurrent Fallers(falls≥2) or Non-Recurrent/Non-Fallers(falls<2) according to their number of retrospective falls over two months. Two generalised linear logistic models were developed using a machine learning method to detect Fallers (Model 1) and Recurrent Fallers (Model 2) based on mDGI scores. ROC curves were used to identify mDGI cut-off scores to distinguish between different fall categories.58 PwND (mean ± standard deviation age: 63.4 ± 12 years) including 28 people with Multiple Sclerosis, 15 people with Parkinson's disease and 15 people with Stroke were analysed. The mDGI score(median (IQR)) for Non-Fallers, Fallers, Recurrent Fallers and Non-Recurrent/Non-Fallers was respectively 50(22), 37(22), 26.5(20.25) and 46.5(20.5)points. The cut-off to identify Fallers from Non-Fallers was 49 points(sensitivity:100 %, specificity:50 %, post-test probability with mDGI ≤ cut-off: 53.2 %, post-test probability with mDGI > cut-off: 0%, AUC:0.68), while 29 points(sensitivity:60 %, specificity:79 %, post-test probability with mDGI ≤ cut-off:52.1 %, post-test probability with mDGI > cut-off:16.1 %, AUC:0.70) was the best cut-off to identify Recurrent Fallers.People with mDGI score>49 points have low or minimal fall risk, while people with mDGI score≤49 points should be further investigated with other scales before starting a balance-focused rehabilitation intervention. People scoring ≤29 points on the mDGI scale may need a fall prevention intervention, regardless of the results of other balance clinical measures.

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
互化化发布了新的文献求助50
2秒前
puffyu发布了新的文献求助30
2秒前
btyyl完成签到,获得积分10
3秒前
苼安子完成签到 ,获得积分10
5秒前
5秒前
搜集达人的应助被耳东静采纳,获得10
5秒前
qiuxu完成签到,获得积分10
6秒前
隐形的故事完成签到 ,获得积分10
11秒前
腼腆的寒风完成签到 ,获得积分10
13秒前
14秒前
二月红前来求文完成签到,获得积分10
17秒前
lyh发布了新的文献求助10
19秒前
YTT完成签到,获得积分10
19秒前
baizi完成签到,获得积分10
21秒前
过冷水完成签到,获得积分10
21秒前
23秒前
CC完成签到 ,获得积分10
25秒前
linglingling完成签到 ,获得积分10
25秒前
饼饼完成签到,获得积分10
26秒前
26秒前
川里雾关注了科研通微信公众号
27秒前
henry完成签到 ,获得积分10
28秒前
29秒前
Yvonne发布了新的文献求助10
31秒前
lyh完成签到,获得积分10
32秒前
32秒前
33秒前
耳东静发布了新的文献求助10
34秒前
Warma完成签到,获得积分10
34秒前
邪恶土拨鼠完成签到,获得积分0
35秒前
田様的应助被科研通管家采纳,获得10
36秒前
36秒前
天天快乐的应助被科研通管家采纳,获得10
36秒前
XX的应助被科研通管家采纳,获得10
36秒前
小二郎的应助被科研通管家采纳,获得10
36秒前
今后的应助被科研通管家采纳,获得10
36秒前
科研通AI6.4的应助被keanu采纳,获得10
36秒前
彭于晏的应助被科研通管家采纳,获得10
36秒前
香蕉觅云的应助被科研通管家采纳,获得10
37秒前
极限001的应助被科研通管家采纳,获得200
37秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7810518
求助须知:如何正确求助?哪些是违规求助? 9342237
关于积分的说明 20511610
捐赠科研通 7403333
什么是DOI,文献DOI怎么找? 3329390
关于科研通互助平台的介绍 2476275
邀请新用户注册赠送积分活动 2348294