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Published on: June 23, 2023
Disease progression in Parkinson subtypes: the PPMI dataset
Darko Aleksovski1, Dragana Miljkovic1, Daniele Bravi2
1Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia.
Patients with postural instability gait disorders (PIGD) Parkinson disease show more severe motor symptoms and faster cognitive decline than tremor dominant (TD) patients. This suggests greater brain involvement in PIGD at diagnosis.
Area of Science:
- Neurology
- Neuroscience
- Movement Disorders
Background:
- Parkinson disease (PD) progression patterns vary, with suggested subtypes like tremor-dominant (TD) and postural instability gait disorder (PIGD).
- Clinical classification of PIGD is unstable, with only 40% retaining the subtype over time.
- Longitudinal studies require consideration of this clinical variability.
Purpose of the Study:
- To compare the longitudinal clinical progression of PIGD versus TD subtypes in Parkinson disease.
- To analyze progression using a stricter definition of PIGD/TD subtypes to account for classification instability.
Main Methods:
- Analysis of longitudinal clinical data from the Parkinson Progression Markers Initiative (PPMI) cohort.
- Inclusion of patients consistently classified as PIGD or TD across all 4-year visits.
- Application of linear mixed-effects models to assess progression in 51 dependent variables.
Main Results:
- PIGD patients (36/254) exhibited more severe motor disease at baseline compared to TD patients (144/254).
- PIGD showed faster progression in non-motor symptoms: cognitive impairment, hallucinations, and psychosis with Drug-Induced Sleep (DDS) features.
- PIGD also demonstrated a faster increase in average time with dyskinesia.
Conclusions:
- PIGD subtype in Parkinson disease is associated with greater baseline severity and accelerated cognitive progression.
- PIGD patients experience more frequent hallucinations, psychosis, and DDS features, indicating broader cortical and subcortical involvement.
- Stricter PIGD/TD classification criteria offer valuable insights for clinical trial design and outcome measure development in Parkinson disease research.
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