| Abstract: Objective To investigate whether patients with Parkinson 's disease tremor can be divided into subtypes according to the heterogeneity of clinical and electrophysiological characteristics. Methods Clinical data (including motor symptoms, non-motor symptoms, progression rate, disease stage) and electrophysiological characteristics were evaluated by the scale in patients with Parkinson 's disease tremor. Based on these clinical features and electrophysiological parameters, 220 patients with Parkinson 's disease tremor were classified by K-means cluster analysis. We used the silhouette coefficients corresponding to K ranging from 2 to 10 to determine the optimal number of clusters. Results The tremor patients with Parkinson 's disease could be divided into two subtypes: (1) Subtype 1 (85 cases): tremor progressed rapidly, levodopa response was good, electrophysiology was mostly classical tremor frequency; (2) Subtype 2 (135 cases): tremor progressed slowly, levodopa response was poor, and most of them had irregular shaking. There were significant differences in disease duration, motor symptom score, rigidity score, tremor score, axial symptom score, levodopa equivalent dose, rigidity/ tremor score ratio, rate of progression of tremor, levodopa responsiveness of tremor and motor symptoms, and the distribution of tremor muscle contraction patterns and tremor frequency in the upper limb resting, postural, intention tremor and upper limb holding state between different subtypes (P < 0.05). Conclusion The clinical and electrophysiological characteristics of tremor patients with Parkinson 's disease are heterogeneous. According to this heterogeneity, Parkinson 's disease patients with tremor can be divided into two subtypes. |