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Prognostic Modeling of Parkinson’s Disease Progression Using Early Longitudinal Patterns of Change - PMC

pmc.ncbi.nlm.nih.gov · 6,214 words · saved by 1 readers

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. Author manuscript; available in PMC: 2022 Dec 1. Published in final edited form as: Mov Disord. 2021 Jul 30;36(12):2853–2861. doi: 10.1002/mds.28730 Abstract Background: Predicting Parkinson’s disease (PD) progression may enable better adaptive and targeted treatment planning. Objectives: Develop a prognostic model using multiple, easily acquired longitudinal measures to predict temporal clinical progression from Hoehn and Yahr (H&Y) Stage 1 or 2 to Stage 3 in early PD. Methods: Predictive longitudinal measures of PD progression were identified by the joint modeling method.…

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