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Tracking Parkinson's: study design and baseline patient data

Malek, Naveed, Swallow, Diane M.A., Grosset, Katherine A., Lawton, Michael A., Marrinan, Sarah L., Lehn, Alexander C., Bresner, Catherine, Bajaj, Nin, Barker, Roger A., Ben-Shlomo, Yoav, Burn, David J., Foltynie, Thomas, Hardy, John, Morris, Huw R., Williams, Nigel M., Wood, Nicholas and Grosset, Donald G. 2015. Tracking Parkinson's: study design and baseline patient data. Journal of Parkinson's Disease 5 (4) , pp. 947-959. 10.3233/JPD-150662

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Abstract

Background: There is wide variation in the phenotypic expression of Parkinson’s disease (PD), which is driven by both genetic and epidemiological influences. Objectives: To define and explain variation in the clinical phenotype of PD, in relation to genotypic variation. Methods: Tracking Parkinson’s is a multicentre prospective longitudinal epidemiologic and biomarker study of PD. Patients attending specialist clinics in the United Kingdom with recent onset (<3.5 years) and young onset (diagnosed <50 years of age) PD were enrolled. Motor, non-motor and quality of life assessments were performed using validated scales. Cases are followed up 6 monthly up to 4.5 years for recent onset PD, and up to 1 year for young onset PD. We present here baseline clinical data from this large and demographically representative cohort. Results: 2247 PD cases were recruited (1987 recent onset, 260 young onset). Recent onset cases had a mean (standard deviation, SD) age of 67.6 years (9.3) at study entry, 65.7% males, with disease duration 1.3 years (0.9), MDS-UPDRS 3 scores 22.9 (12.3), LEDD 295 mg/day (211) and PDQ-8 score 5.9 (4.8). Young onset cases were 53.5 years old (7.8) at study entry, 66.9% male, with disease duration 10.2 years (6.7), MDS-UPDRS 3 scores 27.4 (15.3), LEDD 926 mg/day (567) and PDQ-8 score 11.6 (6.1). Conclusions: We have established a large clinical PD cohort, consisting of young onset and recent onset cases, which is designed to evaluate variation in clinical expression, in relation to genetic influences, and which offers a platform for future imaging and biomarker research.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Publisher: IOS Press
ISSN: 1877-7171
Date of First Compliant Deposit: 24 November 2017
Last Modified: 04 Jan 2018 12:57
URI: http://orca.cf.ac.uk/id/eprint/107009

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