Turning Slowly Predicts Future Diagnosis of Parkinson's Disease: A Decade-Long Longitudinal Analysis.

IF 7.7 1区 医学 Q1 CLINICAL NEUROLOGY
Morad Elshehabi, Clint Hansen, Markus A Hobert, Anna-Katharina von Thaler, Kathrin Brockmann, Bhargav Tallapragada, Florian Metzger, Daniela Berg, Walter Maetzler, Brook Galna
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Abstract

Objective: Wearable technology allows accurate measurement of turning while walking, with cross-sectional studies indicating that difficulty turning presents even in preclinical phases of Parkinson's disease. The aim of our study was to quantify rate of change of turning performance in a cohort of older adults, and test whether turning decline can predict future diagnosis of Parkinson's disease.

Methods: A total of 1,051 participants from the Tübingen Evaluation of Risk Factors for Early Detection of Neurodegeneration (TREND) study were included for a 5-visit analysis over 10 years, with development of clinically evident Parkinson's disease tracked. Participants walked a 20-m hallway for 1 minute at their preferred pace, with a wearable device on the lower back. Longitudinal trajectories of turning performance were modelled using random effects linear mixed models to establish the interval between initial turning changes and Parkinson's disease diagnosis. Cox regression assessed whether initial turning measures could predict time to Parkinson's disease onset, controlling for age and sex.

Results: Of all participants, 23 were diagnosed with Parkinson's disease an average of 5.3 years post-baseline. Slower peak angular velocity at baseline was associated with a higher hazard of Parkinson's disease diagnosis, with deviations from controls emerging approximately 8.8 years before diagnosis. Additional analysis with a machine learning model using baseline characteristics of age, sex and peak angular velocity, identified 60% of prediagnostic Parkinson's disease (sensitivity: 0.600) and 80.5% non-prediagnostic Parkinson's disease (specificity: 0.805), with an area under the curve of 80.5%.

Interpretation: Peak angular velocity during turning shows promise identifying and tracking motor progression in the pre-diagnostic phase of Parkinson's disease. ANN NEUROL 2025.

缓慢转向预测帕金森病的未来诊断:长达十年的纵向分析。
目的:可穿戴技术可以精确测量行走时的转身,横断面研究表明,即使在帕金森病的临床前阶段,转身困难也会出现。我们研究的目的是量化老年人队列中翻身能力的变化率,并测试翻身能力下降是否可以预测帕金森病的未来诊断。方法:来自宾根神经退行性疾病早期检测危险因素评估(TREND)研究的1051名参与者被纳入10年的5次访问分析,并跟踪临床明显的帕金森病的发展。参与者以自己喜欢的速度在一条20米长的走廊上走1分钟,腰上戴着可穿戴设备。采用随机效应线性混合模型对转弯性能的纵向轨迹进行建模,以建立初始转弯变化与帕金森病诊断之间的区间。Cox回归评估了在控制年龄和性别的情况下,初始转向措施是否可以预测帕金森病发病的时间。结果:在所有参与者中,23人在基线后平均5.3年被诊断为帕金森病。基线峰值角速度较慢与帕金森病诊断风险较高相关,与对照组的偏差在诊断前约8.8年出现。使用使用年龄、性别和峰值角速度基线特征的机器学习模型进行的进一步分析,确定了60%的帕金森病(敏感性:0.600)和80.5%的非帕金森病(特异性:0.805),曲线下面积为80.5%。解释:在帕金森病的诊断前阶段,转弯时的峰值角速度有望识别和跟踪运动进展。Ann neurol 2025。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Neurology
Annals of Neurology 医学-临床神经学
CiteScore
18.00
自引率
1.80%
发文量
270
审稿时长
3-8 weeks
期刊介绍: Annals of Neurology publishes original articles with potential for high impact in understanding the pathogenesis, clinical and laboratory features, diagnosis, treatment, outcomes and science underlying diseases of the human nervous system. Articles should ideally be of broad interest to the academic neurological community rather than solely to subspecialists in a particular field. Studies involving experimental model system, including those in cell and organ cultures and animals, of direct translational relevance to the understanding of neurological disease are also encouraged.
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