Danyeong Kim, Da-Eun Jeong, Hyunkyung Yi, Min Ju Kang
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引用次数: 0
Abstract
Background and purpose: Accurate and early diagnosis of Parkinson's disease (PD) remains challenging, as clinical assessments have notable limitations. Gait impairment, a hallmark motor symptom, appears in the early stages and is indicative of disease evolution. This study aimed to examine gait parameters and their associations with established clinical measures to assess their potential as diagnostic and monitoring biomarkers in a Korean PD cohort.
Methods: PD patients (n=18) and healthy controls (HCs, n=15) underwent gait assessments with MotionCore (JEIOS Inc.). Gait parameters were measured during both the 10-m walk (locomotion) and Timed Up and Go (TUG) tests, including stride length, cadence, single and double support time, toe-off time, and turning performance. Clinical assessments comprised the Hoehn & Yahr (H&Y) scale, Unified Parkinson's Disease Rating Scale Part III, Freezing of Gait Questionnaire, Korean version of the Mini-Mental State Examination, Geriatric Depression Scale, and Berg Balance Scale.
Results: Patients with PD demonstrated significantly shortened stride length and higher cadence. Reduced single support time, extended double support time, and delayed toe-off time were observed in the PD group. Integrating gait metrics from both the 10-m locomotion and TUG tests improved discrimination between PD patients and healthy controls, as well as among different H&Y stages. Turning-related measures were significantly higher in PD patients. Gait measures showed robust correlations with clinical indices, including motor severity, cognitive status, and balance scores.
Conclusions: Gait analysis identified prominent motor and balance deficits in PD patients that were strongly associated with clinical severity. Gait parameters hold considerable potential as objective digital biomarkers for the diagnosis and monitoring of PD progression.
背景与目的:由于临床评估存在明显的局限性,准确和早期诊断帕金森病(PD)仍然具有挑战性。步态障碍,一个标志性的运动症状,出现在早期阶段,是疾病演变的指示。本研究旨在检查步态参数及其与既定临床指标的关联,以评估其在韩国PD队列中作为诊断和监测生物标志物的潜力。方法:PD患者(n=18)和健康对照(hc, n=15)使用MotionCore (jeos Inc.)进行步态评估。在10m步行(运动)和Timed Up and Go (TUG)测试中测量步态参数,包括步幅、节奏、单次和双次支撑时间、脚趾脱落时间和转身表现。临床评估包括Hoehn & Yahr (H&Y)量表、统一帕金森病评定量表第三部分、步态冻结问卷、韩版迷你精神状态检查、老年抑郁量表和Berg平衡量表。结果:PD患者步幅明显缩短,节奏明显加快。PD组单支时间缩短,双支时间延长,脱趾时间延迟。整合10米运动和TUG测试的步态指标可以提高PD患者和健康对照者之间以及不同H&Y阶段之间的区别。PD患者的转向相关指标显著增高。步态测量显示与临床指标有很强的相关性,包括运动严重程度、认知状态和平衡评分。结论:步态分析发现PD患者明显的运动和平衡缺陷与临床严重程度密切相关。步态参数作为诊断和监测PD进展的客观数字生物标志物具有相当大的潜力。