脊髓小脑共济失调综合数字平衡评分的开发和验证:一项前瞻性研究。

IF 24.1 1区 医学 Q1 MEDICAL INFORMATICS
James McNames, Vrutangkumar V Shah, Hannah L Casey, Kristen L Sowalsky, Mahmoud El-Gohary, Delaram Safarpour, Patricia Carlson-Kuhta, Jeremy D Schmahmann, Liana S Rosenthal, Susan Perlman, Roberto Rodríguez-Labrada, Luis Velázquez-Pérez, Fay B Horak, Christopher M Gomez
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引用次数: 0

摘要

背景:脊髓小脑性共济失调的临床试验目前受到现有临床终点所需的大样本量的限制。我们的目标是使用可穿戴惯性传感器设计一种站立和行走平衡的数字复合测量方法,这将需要更小的样本量。新的评分被称为共济失调综合平衡评分(SIBA)。方法:在本研究中,我们基于2017年6月23日至2024年8月21日期间在5个地点(4个在美国,1个在古巴)的临床访问中招募的脊髓小脑共济失调型1、2、3或6型成人(18-75岁)的回顾性样本开发了SIBA。如果参与者有脊髓小脑性共济失调的遗传确认,并且能够提供同意,在没有辅助装置的情况下独立行走10米,并在没有辅助的情况下站立30秒,则纳入受试者。从患者的家庭成员中招募了一组年龄特定、性别匹配的健康对照。为了验证SIBA,在2019年6月1日至2024年4月30日期间,从美国五个中心(NCT04268147)招募了具有相同类型失调性失调的个体的独立样本以及年龄匹配和性别匹配的健康对照。我们使用六个可穿戴传感器(Opal惯性测量单元,APDM Precision Motion, Clario, Portland, OR, USA)在每只脚和手的背、胸骨和下腰椎(躯干)椎节进行平衡和步态评估。我们利用这项评估的数据,以自然速度步行2分钟,双脚并拢或分开站立30秒,得出一个综合评分。我们使用多标准决策分析来衡量标准的相对重要性,以指导评分的制定。这些标准代表了区分具有已知差异、结构效度、信度、进展、意义和并发效度的组的能力。最终的综合评分综合了步态的两个动态平衡变量(足趾伸出变异性和步态周期的双支撑时间比例)和站立的两个静态平衡变量(正常站立宽度下的摇摆角均方根和双脚同时站立时的摇摆加速度均方根)。我们将SIBA与共济失调评估评定量表(SARA)进行了可靠性、区分已知差异组的能力、结构效度、收敛效度和跟踪疾病进展的能力的比较。研究结果:在发育研究中,我们纳入了258例脊髓小脑共济失调1、2、3或6型患者(40例先期表现,218例共济失调)和100例健康对照(45例女性,55例男性);在验证研究中,53名脊髓小脑共济失调1、2、3、6型患者(27名女性和26名男性)和24名健康对照(14名女性和10名男性)。SIBA与SARA具有同步效度(r= 0.736)。SIBA也是可靠的(重测信度,类内相关系数= 0.970),可以区分参与者和健康对照(受试者工作特征曲线下面积[AUROC]= 0.956),并且在脊髓小脑性失联的流动参与者验证队列中与跌倒风险相关(AUROC= 0.760),独立于更大的评分发展队列。1年内共济失调进展的效应值是SARA评分的5倍(0.59 vs 0.11)。基于这些估计,使用SIBA的临床试验需要比SARA少88%的参与者(171对1491)才能检测到1年进展率降低50%。SIBA是临床试验中最常见的脊髓小脑共济失调的静态和动态平衡的合适数字测量。它可以使临床试验更快地完成,参与者更少。未来关于SIBA对干预措施的反应性的试验需要在更大的队列中进行。资助:Biogen, Clario, Pfizer和Alexander von Humboldt Foundation。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and validation of a composite digital balance score for spinocerebellar ataxia: a prospective study.

Background: Clinical trials in spinocerebellar ataxia are currently limited by the large sample sizes required by available clinical endpoints. We aimed to devise a digital composite measure of standing and walking balance using wearable inertial sensors that would require smaller sample sizes. The new score is called the Score of Integrated Balance in Ataxia (SIBA).

Methods: In this study, we developed the SIBA based on a retrospective sample of adults (aged 18-75 years) with spinocerebellar ataxia types 1, 2, 3, or 6, recruited during clinical visits at five sites (four in the USA and one in Cuba) between June 23, 2017, and Aug 21, 2024. Participants were included if they had genetic confirmation of spinocerebellar ataxia, and were able to provide consent, walk 10 m independently without an assistive device, and stand unassisted for 30 s. A cohort of age-specific and sex-matched healthy controls were recruited from family members of the patients. To validate the SIBA, an independent sample of individuals with the same types of ataxias were recruited along with age-matched and sex-matched healthy controls from five centres in the USA (NCT04268147) between June 1, 2019, and April 30, 2024. We performed balance and gait assessments using six wearable sensors (Opal inertial measurement units, APDM Precision Motion, Clario, Portland, OR, USA) on the dorsum of each foot and hand, on the sternum, and on the lower lumbar (trunk) vertebral segments. We used the data from this assessment to develop a composite score from walking at a natural pace for 2 min and standing with feet together and apart for 30 s. We used a multiple criteria decision analysis to weight the relative importance of criteria to guide development of the score. The criteria represented the ability to distinguish groups with known differences, construct validity, reliability, progression, meaningfulness, and concurrent validity. The final composite score integrated two dynamic balance variables from gait (variability of toe-out and double-support time proportion of the gait cycle) and two static balance variables from stance (sway angle root mean square with normal stance width and sway acceleration root mean square with feet together). We compared the SIBA to the Scale for the Assessment and Rating of Ataxia (SARA) for reliability, the ability to distinguish between groups with known differences, construct validity, convergent validity, and the ability to track disease progression.

Findings: We included 258 individuals (131 females and 127 males) with spinocerebellar ataxia types 1, 2, 3, or 6 (40 premanifest and 218 ataxic) and 100 healthy controls (45 females and 55 males) in the development study; and 53 individuals (27 females and 26 males) with spinocerebellar ataxia types 1, 2, 3, or 6 and 24 healthy controls (14 females and 10 males) in the validation study. The SIBA showed concurrent validity with the SARA (r=0·736). The SIBA was also reliable (test-retest reliability; intraclass correlation coefficient=0·970), could distinguish between participants and healthy controls (area under the receiver operating characteristic curve [AUROC]=0·956), and related to fall risk (AUROC=0·760) in a validation cohort of ambulatory participants with spinocerebellar ataxia, independent from the larger, score-development cohort. Progression of ataxia over 1 year had an effect size five times larger than the SARA score (0·59 vs 0·11). Based on these estimates, clinical trials using the SIBA would require 88% fewer participants than SARA (171 vs 1491) to detect a 50% reduction in the rate of 1-year progression.

Interpretation: SIBA is a suitable digital measure of static and dynamic balance for the most common spinocerebellar ataxias in clinical trials. It may permit clinical trials to be completed more rapidly and with fewer participants. Future trials on responsiveness of the SIBA to interventions are needed in larger cohorts.

Funding: Biogen, Clario, Pfizer, and the Alexander von Humboldt Foundation.

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来源期刊
CiteScore
41.20
自引率
1.60%
发文量
232
审稿时长
13 weeks
期刊介绍: The Lancet Digital Health publishes important, innovative, and practice-changing research on any topic connected with digital technology in clinical medicine, public health, and global health. The journal’s open access content crosses subject boundaries, building bridges between health professionals and researchers.By bringing together the most important advances in this multidisciplinary field,The Lancet Digital Health is the most prominent publishing venue in digital health. We publish a range of content types including Articles,Review, Comment, and Correspondence, contributing to promoting digital technologies in health practice worldwide.
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