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Dataset Information

Longitudinal assessment of excessive daytime sleepiness in early Parkinson's disease.


ABSTRACT:

Background

Excessive daytime sleepiness (EDS) is common and disabling in Parkinson's disease (PD). Predictors of EDS are unclear, and data on biological correlates of EDS in PD are limited. We investigated clinical, imaging and biological variables associated with longitudinal changes in sleepiness in early PD.

Methods

The Parkinson's Progression Markers Initiative is a prospective cohort study evaluating progression markers in participants with PD who are unmedicated at baseline (n=423) and healthy controls (HC; n=196). EDS was measured with the Epworth Sleepiness Scale (ESS). Clinical, biological and imaging variables were assessed for associations with EDS for up to 3 years. A machine learning approach (random survival forests) was used to investigate baseline predictors

SUBMITTER: Amara AW 

PROVIDER: S-EPMC7282477 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature