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Digital Evaluations and Technologies Enabling Clinical Translation for AD

Oregon Health and Science University · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
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alzheimer-disease
The DETECT-AD study (stands for "Digital Evaluations and Technologies Enabling Clinical Translation for Alzheimer's Disease") is a new study designed to improve clinical trials for early Alzheimer's disease. DETECT-AD uses specialized home-based digital devices (electronic scale, electronic pill box, under-the-mattress sleep sensor, motion activity sensors, wrist watch activity tracker, driving sensor, and computer software) to see if the devices will improve clinical trial assessments. This 36- month-long study will simulate a clinical trial to determine how well the home system detects clinically meaningful changes. Participants in DETECT will receive a brain scan to assess their risk for developing Alzheimer's Disease. After the scan, homes will be outfitted with the devices\*. Participants will be asked to simply go about their daily routines while data is collected in the background by the digital devices. The scientists will see if there is a change in the digital assessments in four key areas of life activity: mobility (walking speed), cognition (computer use), sleep (sleep times), and socialization (time spent out of home). Participants will be asked to take a daily multivitamin as a study 'drug' to mimic clinical trial conditions. Using these methods, the DETECT study will produce outcome measures that reflect real-world everyday function. Establishing the superiority of these novel methods compared to conventional methods (for example, exams in a clinic) will provide a potential new pathway for speeding the development of muchneeded new treatments for Alzheimer's
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