Blood biomarkers with Parkinson's disease clusters and prognosis: The oxford discovery cohort.

ABSTRACT:

Background

Predicting prognosis in Parkinson's disease (PD) has important implications for individual prognostication and clinical trials design and targeting novel treatments. Blood biomarkers could help in this endeavor.

Methods

We identified 4 blood biomarkers that might predict prognosis: apolipoprotein A1, C-reactive protein, uric acid and vitamin D. These biomarkers were measured in baseline serum from 624 Parkinson's disease subjects (median disease duration, 1.0 years; interquartile range, 0.5-2.0) from the Oxford Discovery prospective cohort. We compared these biomarkers against PD subtypes derived from clinical features in the baseline cohort using data-driven approaches. We used multilevel models with MDS-UPDRS parts I, II, and III and Montreal Cognitive Assessmen

SUBMITTER: Lawton M 

PROVIDER: S-EPMC7028059 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature