Project 1:
Progress

Developed models to understand and predict the clinical progression of Parkinson’s disease

Leveraging our data repository, we have constructed statistical models to determine the impact of Parkinson’s disease on aging. For this analysis, we quantified and compared the incidence and prevalence of specific non-motor symptoms between people living with and without Parkinson’s disease (see publication).   We have also developed models to predict the clinical progression of Parkinson’s disease. Using an individual’s clinical baseline data, we are able to predict someone as having a progressive or stable trajectory of clinical progression. Our prediction models focus on the progression of ambulatory ability and cognitive deterioration. These models demonstrate people with a predicted progressive trajectory are more likely to experience clinical milestones of impaired balance, loss of independence, impaired functional ability, and cognitive impairment. These models also have the ability to help design enrichment strategies for clinical trials that would focus enrollment on those with a predicted progressive trajectory, thereby decreasing study duration and sample sizes.