Profiling people with Parkinson's disease at risk of cognitive decline: Insights from PPMI and ICICLE-PD data.
Ontology highlight
ABSTRACT: 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 Parkinson's Progression Markers Initiative (PPMI) (N = 770) and ICICLE-PD (N = 212) datasets based on their decline in the Montreal Cognitive Assessment over at least 4 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 a steady decline in the PPMI dataset, and deficits in category fluency, but not visuospatial function, were associated with a 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.Highlights
Four cognitive subtypes were revealed in two Parkinson's disease samples.Unique profiles of cognitive impairment were related to cognitive decline.Judgement of Line Orientation/category fluency predictive of steady decline.Global deficits related to rapid cognitive decline and increased dementia risk.
SUBMITTER: Pourzinal D
PROVIDER: S-EPMC11299072 | biostudies-literature | 2024 Jul-Sep
REPOSITORIES: biostudies-literature
Publications
Profiling people with Parkinson's disease at risk of cognitive decline: Insights from PPMI and ICICLE-PD data.
Pourzinal Dana D Lawson Rachael A RA Yarnall Alison J AJ Williams-Gray Caroline H CH Barker Roger A RA Yang Jihyun J McMahon Katie L KL O'Sullivan John D JD Byrne Gerard J GJ Dissanayaka Nadeeka N NN
Alzheimer's & dementia (Amsterdam, Netherlands) 20240701 3
<h4>Introduction</h4>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.<h4>Method</h4>Latent class mixed models stratified subtypes in Parkinson's Progression Markers Initiative (PPMI) (<i>N </i>= 770) and ICICLE-PD (<i>N </i>= 212) datasets based on their decline in the Montreal Cognitive Assessment over at least 4 years. Baseline demographic and cognitive d ...[more]
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