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Updated: Jan 1, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Predict cognitive decline with clinical markers in Parkinson's disease (PRECODE-1)
Heather Wilson1, Gennaro Pagano1, Tayyabah Yousaf1
1Neurodegeneration Imaging Group, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, 125 Coldharbour Lane, Camberwell, London, SE5 9NU, UK.
Predicting cognitive decline in Parkinson's disease is crucial. Early identification of at-risk individuals using clinical markers like age and specific test results can improve patient monitoring and management.
Area of Science:
- Neurology
- Neuroscience
- Clinical Medicine
Background:
- Cognitive impairment affects approximately 80% of Parkinson's disease (PD) patients.
- Predictive factors for cognitive decline in early-stage, drug-naïve PD patients require further investigation.
Purpose of the Study:
- To identify clinically available markers that predict cognitive impairment in early drug-naïve Parkinson's disease patients.
Main Methods:
- 294 drug-naïve PD patients, cognitively normal at baseline, were recruited from the Parkinson's Progression Markers Initiative.
- Cognitive impairment was assessed at 36-month follow-up using Montreal Cognitive Assessment (MoCA) scores and neuropsychological tests.
- Predictive variables were analyzed based on validated cut-offs or deciles for maximal predictive power.
Main Results:
- 41.5% of patients (122/294) showed cognitive decline after 3 years.
- Predictors included age at PD onset, MDS-UPDRS Part-III, Hopkins Verbal Learning Test-Revised Recall, Semantic Fluency Test, and Symbol Digit Modalities Test.
- A combination of three abnormal tests predicted Level 1 and Level 2 cognitive impairment with 63.6-86.7% risk, respectively.
Conclusions:
- Clinically available measures can identify early-stage, drug-naïve PD patients at high risk for cognitive impairment.
- Implementing these markers can facilitate early monitoring and management of at-risk PD patients.
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