Smartphone postural sway and pronator drift tests as measures of neurological disability.

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY BMC Neurology Pub Date : 2025-02-05 DOI:10.1186/s12883-025-04038-2
Michael Calcagni, Peter Kosa, Bibi Bielekova
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Abstract

The COVID-19 pandemic and increased demands for neurologists have inspired the creation of remote, digitalized tests of neurological functions. This study investigates two tests from the Neurological Functional Tests Suite (NeuFun-TS) smartphone application, the "Postural Sway" and "Pronator Drift" tests. These tests capture different domains of postural control and motoric dysfunction in healthy volunteers (n = 13) and people with neurological disorders (n = 68 relapsing-remitting multiple sclerosis [MS]; n = 21 secondary progressive MS; n = 23 primary progressive MS; n = 13 other inflammatory neurological diseases; n = 21 non-inflammatory neurological diseases; n = 4 clinically isolated syndrome; n = 1 radiologically isolated syndrome). Smartphone accelerometer data was transformed into digital biomarkers, which were filtered in the training cohort (~ 80% of subjects) for test-retest reproducibility and correlations with subdomains of neurological examinations and validated imaging biomarkers. The independent validation cohort (~ 20%) determined whether biomarker models outperformed the best single digital biomarkers. Postural sway acceleration magnitude in the eyes closed and feet together stance demonstrated the highest reliability (ICC = 0.706), strongest correlations with age (Pearson r <= 0.82) and clinical and imaging outcomes (r <= 0.65, p < 0.001) and stronger predictive value for sway-relevant neurological disability outcomes than models that aggregated multiple biomarkers (coefficient of determination R2 = 0.46 vs 0.38). The pronator drift test only captured cerebellar dysfunction, had less reproducible biomarkers, but provided additive value when combined with postural sway biomarkers into models predicting global scales of neurological disability. In conclusion, a simple 1-min postural sway test accurately measures body oscillations that increase with natural aging and differentiates them from abnormally increased body oscillations in people with neurological disabilities.

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智能手机姿势摇摆和旋前肌漂移测试作为神经功能障碍的测量方法。
COVID-19大流行和对神经科医生需求的增加激发了神经功能远程数字化测试的创建。本研究调查了神经功能测试套件(NeuFun-TS)智能手机应用程序中的两项测试,即“姿势摇摆”和“Pronator漂移”测试。这些测试捕获了健康志愿者(n = 13)和神经系统疾病患者(n = 68)的姿势控制和运动功能障碍的不同领域;继发性进展性MS 21例;n = 23例原发性进展性MS;N =其他炎性神经系统疾病13例;非炎症性神经系统疾病21例;N = 4例临床孤立综合征;N = 1放射孤立综合征)。智能手机加速度计数据被转换为数字生物标志物,并在训练队列(约80%的受试者)中进行筛选,以获得测试-重测试的可重复性以及与神经学检查子域和验证的成像生物标志物的相关性。独立验证队列(约20%)确定生物标志物模型是否优于最佳单一数字生物标志物。闭眼和双脚并立时的体位摇摆加速度值可靠性最高(ICC = 0.706),与年龄的相关性最强(Pearson r 2 = 0.46 vs 0.38)。旋前肌漂移测试仅捕获小脑功能障碍,具有较少的可重复性生物标志物,但当与体位摆动生物标志物结合到预测神经功能障碍全局范围的模型中时,提供了附加价值。总之,一个简单的1分钟姿势摇摆测试可以准确地测量随着自然衰老而增加的身体振荡,并将其与神经功能障碍患者异常增加的身体振荡区分开来。
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来源期刊
BMC Neurology
BMC Neurology 医学-临床神经学
CiteScore
4.20
自引率
0.00%
发文量
428
审稿时长
3-8 weeks
期刊介绍: BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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