AUTHOR=Mu Jesse , Chaudhuri Kallol R. , Bielza Concha , de Pedro-Cuesta Jesus , LarraƱaga Pedro , Martinez-Martin Pablo TITLE=Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms JOURNAL=Frontiers in Aging Neuroscience VOLUME=9 YEAR=2017 URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2017.00301 DOI=10.3389/fnagi.2017.00301 ISSN=1663-4365 ABSTRACT=
Parkinson's disease is now considered a complex, multi-peptide, central, and peripheral nervous system disorder with considerable clinical heterogeneity. Non-motor symptoms play a key role in the trajectory of Parkinson's disease, from prodromal premotor to end stages. To understand the clinical heterogeneity of Parkinson's disease, this study used cluster analysis to search for subtypes from a large, multi-center, international, and well-characterized cohort of Parkinson's disease patients across all motor stages, using a combination of cardinal motor features (bradykinesia, rigidity, tremor, axial signs) and, for the first time, specific validated rater-based non-motor symptom scales. Two independent international cohort studies were used: (a) the validation study of the Non-Motor Symptoms Scale (