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The Emergence and Progression of Motor Dysfunction in Individuals at Risk of Parkinson's Disease

Simonet, C; Mahlknecht, P; Marini, K; Seppi, K; Gill, A; Bestwick, JP; Lees, AJ; ... Noyce, AJ; + view all (2023) The Emergence and Progression of Motor Dysfunction in Individuals at Risk of Parkinson's Disease. Movement Disorders 10.1002/mds.29496. (In press). Green open access

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Abstract

BACKGROUNDL: PREDICT-PD is a United Kingdom population-based study aiming to stratify individuals for future Parkinson's disease (PD) using a risk algorithm. METHODS: A randomly selected, representative sample of participants in PREDICT-PD were examined using several motor assessments, including the motor section of the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS)-III, at baseline (2012) and after an average of 6 years of follow-up. We checked for new PD diagnoses in participants seen at baseline and examined the association between risk scores and incident sub-threshold parkinsonism, motor decline (increasing ≥5 points in MDS-UPDRS-III) and single motor domains in the MDS-UPDRS-III. We replicated analyses in two independent datasets (Bruneck and Parkinson's Progression Markers Initiative [PPMI]). RESULTS: After 6 years of follow-up, the PREDICT-PD higher-risk group (n = 33) had a greater motor decline compared with the lower-risk group (n = 95) (30% vs. 12.5%, P = 0.031). Two participants (both considered higher risk at baseline) were given a diagnosis of PD during follow-up, with motor signs emerging between 2 and 5 years before diagnosis. A meta-analysis of data from PREDICT-PD, Bruneck, and PPMI showed an association between PD risk estimates and incident sub-threshold parkinsonism (odds ratio [OR], 2.01 [95% confidence interval (CI), 1.55–2.61]), as well as new onset bradykinesia (OR, 1.69 [95% CI, 1.33–2.16]) and action tremor (OR, 1.61 [95% CI, 1.30–1.98]). CONCLUSIONS: Risk estimates using the PREDICT-PD algorithm were associated with the occurrence of sub-threshold parkinsonism, including bradykinesia and action tremor. The algorithm could also identify individuals whose motor examination experience a decline over time.

Type: Article
Title: The Emergence and Progression of Motor Dysfunction in Individuals at Risk of Parkinson's Disease
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mds.29496
Publisher version: https://doi.org/10.1002/mds.29496
Language: English
Additional information: © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Parkinson's disease, motor progression, population-based cohort, prediction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
URI: https://discovery.ucl.ac.uk/id/eprint/10172634
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