NCT06529744

Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modeling

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 500 (estimated)
• Sponsor: University Health Network, Toronto · Academic / Other
• Sex: All
• Age: 30 Years – 95 Years
• Healthy volunteers: Not accepted

Summary

To develop a model to predict disease progression in a large cohort of patients across a variety of neurodegenerative diseases, including Mild Cognitive Impairment (MCI) and dementia due to any neurodegenerative disease, including Alzheimer's Disease (AD), Lewy Body Disease (LBD), Vascular Disease (VaD) and Frontotemporal lobar degeneration (FTLD).

Detailed description

The goal of this study is to create a model to predict disease progression in patients with mild cognitive impairments and forms of dementia. To accomplish this, the current study will evaluate different tests including: brain imaging (MRI), body fluid samples (blood and cerebrospinal fluid), skin biopsy, cognitive ability, and behavioural questionnaires. The study team hopes that this information can be used to guide diagnosis and better predict disease progression in patients with mild cognitive impairment and and early dementia.

Conditions

• Dementia
• Alzheimer Disease
• Dementia With Lewy Bodies
• Vascular Dementia
• Frontotemporal Dementia
• Mild Cognitive Impairment
• Corticobasal Syndrome
• Progressive Supranuclear Palsy
• Parkinson Disease
• Primary Progressive Aphasia

Timeline

• Start date: 2023-11-11
• Primary completion: 2026-11-01
• Completion: 2027-11-01
• First posted: 2024-07-31
• Last updated: 2025-11-20

Locations

4 sites across 1 country: Canada