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Lookup NU author(s): Dr Rachael LawsonORCiD, Professor Alison Yarnall
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
INTRODUCTION A subset of people with Parkinson's disease (PD) develop dementia faster than others. We aimed to profile PD cognitive subtypes at risk of dementia based on their rate of cognitive decline. METHOD Latent class mixed models stratified subtypes in PPMI (N=770) and ICICLE-PD (N=212) datasets based on their decline in the Montreal Cognitive Assessment over at least four years. Baseline demographic and cognitive data at diagnosis were compared between subtypes to determine their clinical profile. RESULTS Four subtypes were identified: two with stable cognition, one with steady decline, and one with rapid decline. Performance on judgement of line orientation, but not category fluency, was associated with steady decline in the PPMI dataset and deficits in category fluency, but not visuospatial function, was associated with steady decline in the ICICLE-PD dataset. DISCUSSION People with PD susceptible to cognitive decline demonstrate unique clinical profiles at diagnosis, although this differed between cohorts.
Author(s): Pourzinal D, Lawson RA, Yarnall AJ, Williams-Gray CH, Barker RA, Yang J, McMahon KL, OSullivan JD, Byrne GJ, Dissanayaka NN
Publication type: Article
Publication status: Published
Journal: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Year: 2024
Volume: 16
Issue: 3
Print publication date: 01/09/2024
Online publication date: 05/08/2024
Acceptance date: 12/07/2024
Date deposited: 16/07/2024
ISSN (print): 2352-8729
ISSN (electronic): 2352-8729
Publisher: Wiley
URL: https://doi.org/10.1002/dad2.12625
DOI: 10.1002/dad2.12625
ePrints DOI: 10.57711/ww3f-bp58
Data Access Statement: Data used in the preparation of this article were obtained in July, 2023 from the Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmiinfo.org/access-data-specimens/download-data), RRID:SCR_006431. For up-to-date information on the study, visit www.ppmi-info.org
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