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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 ORCID: https://orcid.org/0000-0003-2673-9762, Bajaj, Nin, Barker, Roger A., Ben-Shlomo, Yoav, Burn, David J., Foltynie, Thomas, Hardy, John, Morris, Huw R., Williams, Nigel M. ORCID: https://orcid.org/0000-0003-1177-6931, 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: 19 Sep 2024 01:24
URI: https://orca.cardiff.ac.uk/id/eprint/107009

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