Remote Video Assessment of Ataxia via SARAhome: Correlation of Pose-Derived Endpoints with Clinician Severity Ratings.

IF 3.4 4区 医学 Q2 CLINICAL NEUROLOGY
Rabia Aziza, Elisa Ferrer, Fereshteh Poursaeed, Vivian Maas, Jennifer Faber, Arian Taheri Amin, Katharina Hill, Matthis Synofzik, Lisa H Graf, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia-Moreno, Magda M Santana, Jeannette Hübener-Schmid, Elin H Davies, Thomas Klockgether, Marcus Grobe-Einsler
{"title":"Remote Video Assessment of Ataxia via SARA<sup>home</sup>: Correlation of Pose-Derived Endpoints with Clinician Severity Ratings.","authors":"Rabia Aziza, Elisa Ferrer, Fereshteh Poursaeed, Vivian Maas, Jennifer Faber, Arian Taheri Amin, Katharina Hill, Matthis Synofzik, Lisa H Graf, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia-Moreno, Magda M Santana, Jeannette Hübener-Schmid, Elin H Davies, Thomas Klockgether, Marcus Grobe-Einsler","doi":"10.1002/mdc3.70854","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Remote assessment of ataxia is increasingly important for patient-centered care and clinical research. SARA<sup>home</sup>, a validated video-based adaptation of the Scale for the Assessment and Rating of Ataxia (SARA), enables self-administration of key motor tasks at home.</p><p><strong>Objective: </strong>The aim was to evaluate the correlation of pose-derived gait and stance endpoints from SARA<sup>home</sup> videos with clinician-rated severity.</p><p><strong>Methods: </strong>In a multisite observational study, participants recorded SARA<sup>home</sup> tasks on consumer mobile devices via the Atom5<sup>TM</sup> app. Clinicians rated videos using standardized criteria, blinded to automated outputs. Kinematic measures were extracted via pose estimation and aggregated to video-level features. Videos were aggregated per participant before correlation using Spearman's ρ and Kendall's τ, with 95% cluster-bootstrap confidence intervals.</p><p><strong>Results: </strong>We analyzed 5418 gait and stance videos from 58 participants across 4 sites (gait n = 2205, stance n = 3213). Score distribution was skewed toward lower severity. For gait, clearance variability (ρ = 0.52 [0.37-0.64]) and median-normalized base of support (ρ = 0.51 [0.35-0.66]) correlated most strongly with item ratings, followed by shoulder sway root mean square (ρ = 0.43 [0.24-0.60]). Adjusted foot clearance (worse limb) correlated negatively (ρ = -0.35 [-0.52 to -0.15]). For stance, anteroposterior sway (ρ = 0.51 [0.36-0.65]), leg alignment variability (ρ = 0.51 [0.36-0.65]), and composite sway (ρ = 0.48 [0.32-0.62]) were most associated with severity. Base of support widened monotonically with severity and was the most reliable gait feature (intraclass correlation coefficient [ICC] = 0.88).</p><p><strong>Conclusions: </strong>Pose-derived digital endpoints from home-captured SARA<sup>home</sup> videos show robust, clinically interpretable correlation with severity, supporting scalable remote phenotyping. Findings motivate longitudinal validation toward clinical and regulatory utility.</p>","PeriodicalId":19029,"journal":{"name":"Movement Disorders Clinical Practice","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13675665/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Movement Disorders Clinical Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/mdc3.70854","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Remote assessment of ataxia is increasingly important for patient-centered care and clinical research. SARAhome, a validated video-based adaptation of the Scale for the Assessment and Rating of Ataxia (SARA), enables self-administration of key motor tasks at home.

Objective: The aim was to evaluate the correlation of pose-derived gait and stance endpoints from SARAhome videos with clinician-rated severity.

Methods: In a multisite observational study, participants recorded SARAhome tasks on consumer mobile devices via the Atom5TM app. Clinicians rated videos using standardized criteria, blinded to automated outputs. Kinematic measures were extracted via pose estimation and aggregated to video-level features. Videos were aggregated per participant before correlation using Spearman's ρ and Kendall's τ, with 95% cluster-bootstrap confidence intervals.

Results: We analyzed 5418 gait and stance videos from 58 participants across 4 sites (gait n = 2205, stance n = 3213). Score distribution was skewed toward lower severity. For gait, clearance variability (ρ = 0.52 [0.37-0.64]) and median-normalized base of support (ρ = 0.51 [0.35-0.66]) correlated most strongly with item ratings, followed by shoulder sway root mean square (ρ = 0.43 [0.24-0.60]). Adjusted foot clearance (worse limb) correlated negatively (ρ = -0.35 [-0.52 to -0.15]). For stance, anteroposterior sway (ρ = 0.51 [0.36-0.65]), leg alignment variability (ρ = 0.51 [0.36-0.65]), and composite sway (ρ = 0.48 [0.32-0.62]) were most associated with severity. Base of support widened monotonically with severity and was the most reliable gait feature (intraclass correlation coefficient [ICC] = 0.88).

Conclusions: Pose-derived digital endpoints from home-captured SARAhome videos show robust, clinically interpretable correlation with severity, supporting scalable remote phenotyping. Findings motivate longitudinal validation toward clinical and regulatory utility.

通过SARAhome远程视频评估共济失调:姿势衍生终点与临床医生严重程度评分的相关性。
背景:共济失调的远程评估在以患者为中心的护理和临床研究中越来越重要。SARAhome是一种经过验证的视频改编的共济失调评估和评级量表(SARA),可以在家中自我管理关键的运动任务。目的:目的是评估sarah home视频中姿势衍生的步态和站立终点与临床评定的严重程度的相关性。方法:在一项多站点观察性研究中,参与者通过Atom5TM应用程序在消费者移动设备上记录SARAhome任务。临床医生使用标准化标准对视频进行评分,对自动输出不透明。运动学测量通过姿态估计提取,并聚合为视频级特征。在使用Spearman's ρ和Kendall's τ进行相关之前,对每个参与者的视频进行汇总,并使用95%的聚类自助置信区间。结果:我们分析了来自4个地点58名参与者的5418个步态和姿态视频(步态n = 2205,姿态n = 3213)。得分分布倾向于较低的严重程度。步态方面,间隙变异性(ρ = 0.52[0.37-0.64])和支撑中位数归一化基础(ρ = 0.51[0.35-0.66])与项目评分相关性最强,其次是肩摆均方根(ρ = 0.43[0.24-0.60])。调整足间隙(下肢较差)负相关(ρ = -0.35[-0.52至-0.15])。站立时,前后摇摆(ρ = 0.51[0.36-0.65])、腿部对齐变异性(ρ = 0.51[0.36-0.65])和复合摇摆(ρ = 0.48[0.32-0.62])与严重程度的关系最为密切。支持基随严重程度单调扩大,是最可靠的步态特征(类内相关系数[ICC] = 0.88)。结论:从家庭拍摄的SARAhome视频中得出的姿势衍生数字端点与严重程度显示出强大的、临床可解释的相关性,支持可扩展的远程表型。研究结果激发了临床和监管效用的纵向验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.00
自引率
7.50%
发文量
218
期刊介绍: Movement Disorders Clinical Practice- is an online-only journal committed to publishing high quality peer reviewed articles related to clinical aspects of movement disorders which broadly include phenomenology (interesting case/case series/rarities), investigative (for e.g- genetics, imaging), translational (phenotype-genotype or other) and treatment aspects (clinical guidelines, diagnostic and treatment algorithms)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书