Subtyping of early-onset Parkinson’s disease using cluster analysis: A large cohort study

作者：Zhou Zhou, Xiaoxia Zhou, Yaqin Xiang, Yuwen Zhao, Hongxu Pan, Juan Wu, Qian Xu, Yase Chen, Qiying Sun, Xinyin Wu, Jianping Zhu, Xuehong Wu, Jianhua Li, Xinxiang Yan, Jifeng Guo, Beisha Tang, Lifang Lei, Zhenhua Liu · 发表于：Frontiers in Aging Neuroscience · 年份：2022 · DOI：10.3389/fnagi.2022.1040293 · 被引用次数：14 · 研究领域：Parkinson's Disease Mechanisms and Treatments、Voice and Speech Disorders、Parkinson's Disease and Spinal Disorders

Background Increasing evidence suggests that early-onset Parkinson’s disease (EOPD) is heterogeneous in its clinical presentation and progression. Defining subtypes of EOPD is needed to better understand underlying mechanisms, predict disease course, and eventually design more efficient personalized management strategies. Objective To identify clinical subtypes of EOPD, assess the clinical characteristics of each EOPD subtype, and compare the progression between EOPD subtypes. Materials and methods A total of 1,217 patients were enrolled from a large EOPD cohort of the Parkinson’s Disease & Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC) between January 2017 and September 2021. A comprehensive spectrum of motor and non-motor features were assessed at baseline. Cluster analysis was performed using data on demographics, motor symptoms and signs, and other non-motor manifestations. In 454 out of total patients were reassessed after a mean follow-up time of 1.5 years to compare progression between different subtypes. Results Three subtypes were defined: mild motor and non-motor dysfunction/slow progression, intermediate and severe motor and non-motor dysfunction/malignant. Compared to patients with mild subtype, patients with the severe subtype were more likely to have rapid eye movement sleep behavior disorder, wearing-off, and dyskinesia, after adjusting for age and disease duration at baseline, and showed a more rapid progression i...