Alzheimer Disease Clinical Trial
— TASTestOfficial title:
TAS Test: Determining the Feasibility and Validity of Online Motor-cognitive Testing for Early Detection of Alzheimer's Disease
NCT number | NCT05194787 |
Other study ID # | H0021660 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | March 5, 2021 |
Est. completion date | December 2030 |
Global dementia prevalence is rising. Alzheimer's disease (AD), the most common cause, has devastating effects on people's quality of life. AD has a preclinical (pre-AD) period of 10-20 years when brain pathology silently progresses before any cognitive symptoms appear. Current tests for pre-AD are invasive, costly and unsuitable for screening at population level. Similar to screening for pre-diabetes and carcinoma in situ, it is important to detect AD at the preclinical stage in order to offer early interventions before the pathology progresses to the irrerversible degenerative stage. In the study, research will develop a new scalable test (TAS Test) by combining two innovative ideas: hand-movement tests to detect pre-AD >10 years before cognitive symptoms begin; and computer vision so people can "self-test" online using home computers. This unique approach builds on recent discoveries that hand-movement patterns change in pre-AD. The research team will use exquisitely precise computer vision methods to automatically analyse movement data from thousands of participants, and combine this with machine learning of overall motor-cognitive performance. The project team has access to 3 well-phenotyped cohorts, >10,000 existing participants and a cutting-edge assay for a blood AD biomarker, ptau181. The research team will develop a TAS Test algorithm to classify hand-movement and cognitive test data for pre-AD risk (p-taua181 levels) and determine TAS Test's precision to prospectively predict 5-year risks of cognitive decline and AD.
Status | Recruiting |
Enrollment | 3000 |
Est. completion date | December 2030 |
Est. primary completion date | December 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 50 Years and older |
Eligibility | Inclusion Criteria: > 50years old Exclusion Criteria: established diagnosis of dementia |
Country | Name | City | State |
---|---|---|---|
Australia | University of Tasmania | Hobart | Tasmania |
Lead Sponsor | Collaborator |
---|---|
University of Tasmania | National Health and Medical Research Council, Australia, University of Leeds, University of Sydney |
Australia,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Develop and validate the optimal TAS Test protocol to detect pre-AD (p-tau 181 positivity) | Receiver Operating Characteristic (ROC) curves will be plotted against the positive p-tau181 cut-off to assess the sensitivity/specificity of TAS Test models to identify the pre-AD stage. | 3 years | |
Primary | Prospectively validate TAS Test to predict risks of cognitive decline | Assess the sensitivity and specificity of TAS Test to predict cognitive trajectories (CANTAB scores) "stable" and "declining" using ROC curve analysis. | 5 years | |
Primary | Prospectively validate TAS Test to predict risks of AD diagnosis | Multinomial logistic regression will estimate the (covariate adjusted) log-odds of being in each diagnostic category (AD, MCI and normal) at 5 years as predicted by baseline TAS Test results. | 5 years |
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