Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study

Alzheimer’s Research & Therapy

the RADAR-AD Consortium¹  Marijn Muurling²  Casper de Boer²  Pieter Jelle Visser²  Chris Hinds³  Claire Lancaster³  Nikolay V. Manyakov⁴  Dorota Religa⁵  Dag Aarsland⁶  Andrew P. Owens⁶  Ivan Koychev⁷  Federica Lucivero⁸  Holger Fröhlich⁹  Meemansa Sood⁹  Spiros Nikolopoulos^1,10  Thanos G. Stravopoulos^1,10  Ioannis Kompatsiaris^1,10  Vaibhav A. Narayan^1,11  Vera J. M. Nies^1,12  Alexander Duyndam^1,12  Herman Verheij^1,12  Gul Erdemli^1,13  Kristin Hannesdottir^1,13  Rouba Kozak^1,14 

[1] ;Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC;Big Data Institute, University of Oxford;Data Science and Clinical Insights, Janssen Research & Development;Department of Neurobiology, Care Sciences and Society, Karolinska Insitutet;Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London;Department of Psychiatry, University of Oxford;Ethox and Welcome Centre for Ethics and Humanities, University of Oxford;Fraunhofer Institute for Algorithms and Scientific Computing, University of Bonn;Information Technologies Institute, Center for Research and Technology Hellas (CERTH-ITI);Janssen Neuroscience Research & Development;Lygature;Novartis Institutes for BioMedical Research;Takeda Pharmaceuticals International Co.;

关键词: Alzheimer’s disease;    Remote monitoring technologies;    Wearable technologies;   

DOI  :  10.1186/s13195-021-00825-4

来源: DOAJ

【 摘 要 】

Abstract Background Functional decline in Alzheimer’s disease (AD) is typically measured using single-time point subjective rating scales, which rely on direct observation or (caregiver) recall. Remote monitoring technologies (RMTs), such as smartphone applications, wearables, and home-based sensors, can change these periodic subjective assessments to more frequent, or even continuous, objective monitoring. The aim of the RADAR-AD study is to assess the accuracy and validity of RMTs in measuring functional decline in a real-world environment across preclinical-to-moderate stages of AD compared to standard clinical rating scales. Methods This study includes three tiers. For the main study, we will include participants (n = 220) with preclinical AD, prodromal AD, mild-to-moderate AD, and healthy controls, classified by MMSE and CDR score, from clinical sites equally distributed over 13 European countries. Participants will undergo extensive neuropsychological testing and physical examination. The RMT assessments, performed over an 8-week period, include walk tests, financial management tasks, an augmented reality game, two activity trackers, and two smartphone applications installed on the participants’ phone. In the first sub-study, fixed sensors will be installed in the homes of a representative sub-sample of 40 participants. In the second sub-study, 10 participants will stay in a smart home for 1 week. The primary outcome of this study is the difference in functional domain profiles assessed using RMTs between the four study groups. The four participant groups will be compared for each RMT outcome measure separately. Each RMT outcome will be compared to a standard clinical test which measures the same functional or cognitive domain. Finally, multivariate prediction models will be developed. Data collection and privacy are important aspects of the project, which will be managed using the RADAR-base data platform running on specifically designed biomedical research computing infrastructure. Results First results are expected to be disseminated in 2022. Conclusion Our study is well placed to evaluate the clinical utility of RMT assessments. Leveraging modern-day technology may deliver new and improved methods for accurately monitoring functional decline in all stages of AD. It is greatly anticipated that these methods could lead to objective and real-life functional endpoints with increased sensitivity to pharmacological agent signal detection.

【 授权许可】

Unknown