Department of Neurology, Washington University School of Medicine, St. Louis, MO.
Department of Radiology, Washington University School of Medicine, St. Louis, MO.
Ann Clin Transl Neurol. 2020 Aug;7(8):1272-1283. doi: 10.1002/acn3.51102. Epub 2020 Jun 29.
Based on multi-domain classification of Parkinson disease (PD) subtypes, we sought to determine the key features that best differentiate subtypes and the utility of PD subtypes to predict clinical milestones.
Prospective cohort of 162 PD participants with ongoing, longitudinal follow-up. Latent class analysis (LCA) delineated subtypes based on score patterns across baseline motor, cognitive, and psychiatric measures. Discriminant analyses identified key features that distinguish subtypes at baseline. Cox regression models tested PD subtype differences in longitudinal conversion to clinical milestones, including deep brain stimulation (DBS), dementia, and mortality.
LCA identified distinct subtypes: "motor only" (N = 63) characterized by primary motor deficits; "psychiatric & motor" (N = 17) characterized by prominent psychiatric symptoms and moderate motor deficits; "cognitive & motor" (N = 82) characterized by impaired cognition and moderate motor deficits. Depression, executive function, and apathy best discriminated subtypes. Since enrollment, 22 had DBS, 48 developed dementia, and 46 have died. Although there were no subtype differences in rate of DBS, dementia occurred at a higher rate in the "cognitive & motor" subtype. Surprisingly, mortality risk was similarly elevated for both "cognitive & motor" and "psychiatric & motor" subtypes compared to the "motor only" subtype (relative risk = 3.15, 2.60).
Psychiatric and cognitive features, rather than motor deficits, distinguish clinical PD subtypes and predict greater risk of subsequent dementia and mortality. These results emphasize the value of multi-domain assessments to better characterize clinical variability in PD. Further, differences in dementia and mortality rates demonstrate the prognostic utility of PD subtypes.
基于帕金森病(PD)亚型的多领域分类,我们旨在确定能最好地区分亚型的关键特征,并评估 PD 亚型对预测临床里程碑的作用。
这是一项前瞻性队列研究,纳入了 162 名 PD 参与者,并对其进行持续的纵向随访。潜在类别分析(LCA)根据基线运动、认知和精神测量评分模式对亚型进行划分。判别分析确定了在基线区分亚型的关键特征。Cox 回归模型检验了 PD 亚型在向临床里程碑(包括深部脑刺激(DBS)、痴呆和死亡)的纵向转变中的差异。
LCA 确定了 3 种不同的亚型:“单纯运动型”(N=63),以主要运动缺陷为特征;“精神和运动型”(N=17),以明显的精神症状和中度运动缺陷为特征;“认知和运动型”(N=82),以认知障碍和中度运动缺陷为特征。抑郁、执行功能和淡漠是区分亚型的最佳特征。自入组以来,22 人接受了 DBS,48 人发展为痴呆,46 人死亡。尽管 DBS 率没有亚型差异,但“认知和运动型”亚型发生痴呆的比率更高。令人惊讶的是,“认知和运动型”和“精神和运动型”亚型的死亡率与“单纯运动型”亚型相比同样升高(相对风险分别为 3.15、2.60)。
精神和认知特征而非运动缺陷可以区分临床 PD 亚型,并预测随后痴呆和死亡的风险增加。这些结果强调了多领域评估在更好地描述 PD 临床变异性方面的价值。此外,痴呆和死亡率的差异表明 PD 亚型具有预后作用。