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Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities
Alzheimer’s disease (AD) and other neurodegenerative diseases such as Parkinson’s disease (PD) and Huntington’s disease (HD) are associated with progressive cognitive, motor, affective and consequently functional decline considerably affecting Activities of Daily Living (ADL) and quality of life. St...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332162/ https://www.ncbi.nlm.nih.gov/pubmed/37435159 http://dx.doi.org/10.3389/fneur.2023.1210974 |
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author | Brem, Anna-Katharine Kuruppu, Sajini de Boer, Casper Muurling, Marijn Diaz-Ponce, Ana Gove, Dianne Curcic, Jelena Pilotto, Andrea Ng, Wan-Fai Cummins, Nicholas Malzbender, Kristina Nies, Vera J. M. Erdemli, Gul Graeber, Johanna Narayan, Vaibhav A. Rochester, Lynn Maetzler, Walter Aarsland, Dag |
author_facet | Brem, Anna-Katharine Kuruppu, Sajini de Boer, Casper Muurling, Marijn Diaz-Ponce, Ana Gove, Dianne Curcic, Jelena Pilotto, Andrea Ng, Wan-Fai Cummins, Nicholas Malzbender, Kristina Nies, Vera J. M. Erdemli, Gul Graeber, Johanna Narayan, Vaibhav A. Rochester, Lynn Maetzler, Walter Aarsland, Dag |
author_sort | Brem, Anna-Katharine |
collection | PubMed |
description | Alzheimer’s disease (AD) and other neurodegenerative diseases such as Parkinson’s disease (PD) and Huntington’s disease (HD) are associated with progressive cognitive, motor, affective and consequently functional decline considerably affecting Activities of Daily Living (ADL) and quality of life. Standard assessments, such as questionnaires and interviews, cognitive testing, and mobility assessments, lack sensitivity, especially in early stages of neurodegenerative diseases and in the disease progression, and have therefore a limited utility as outcome measurements in clinical trials. Major advances in the last decade in digital technologies have opened a window of opportunity to introduce digital endpoints into clinical trials that can reform the assessment and tracking of neurodegenerative symptoms. The Innovative Health Initiative (IMI)-funded projects RADAR-AD (Remote assessment of disease and relapse—Alzheimer’s disease), IDEA-FAST (Identifying digital endpoints to assess fatigue, sleep and ADL in neurodegenerative disorders and immune-mediated inflammatory diseases) and Mobilise-D (Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement) aim to identify digital endpoints relevant for neurodegenerative diseases that provide reliable, objective, and sensitive evaluation of disability and health-related quality of life. In this article, we will draw from the findings and experiences of the different IMI projects in discussing (1) the value of remote technologies to assess neurodegenerative diseases; (2) feasibility, acceptability and usability of digital assessments; (3) challenges related to the use of digital tools; (4) public involvement and the implementation of patient advisory boards; (5) regulatory learnings; and (6) the significance of inter-project exchange and data- and algorithm-sharing. |
format | Online Article Text |
id | pubmed-10332162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103321622023-07-11 Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities Brem, Anna-Katharine Kuruppu, Sajini de Boer, Casper Muurling, Marijn Diaz-Ponce, Ana Gove, Dianne Curcic, Jelena Pilotto, Andrea Ng, Wan-Fai Cummins, Nicholas Malzbender, Kristina Nies, Vera J. M. Erdemli, Gul Graeber, Johanna Narayan, Vaibhav A. Rochester, Lynn Maetzler, Walter Aarsland, Dag Front Neurol Neurology Alzheimer’s disease (AD) and other neurodegenerative diseases such as Parkinson’s disease (PD) and Huntington’s disease (HD) are associated with progressive cognitive, motor, affective and consequently functional decline considerably affecting Activities of Daily Living (ADL) and quality of life. Standard assessments, such as questionnaires and interviews, cognitive testing, and mobility assessments, lack sensitivity, especially in early stages of neurodegenerative diseases and in the disease progression, and have therefore a limited utility as outcome measurements in clinical trials. Major advances in the last decade in digital technologies have opened a window of opportunity to introduce digital endpoints into clinical trials that can reform the assessment and tracking of neurodegenerative symptoms. The Innovative Health Initiative (IMI)-funded projects RADAR-AD (Remote assessment of disease and relapse—Alzheimer’s disease), IDEA-FAST (Identifying digital endpoints to assess fatigue, sleep and ADL in neurodegenerative disorders and immune-mediated inflammatory diseases) and Mobilise-D (Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement) aim to identify digital endpoints relevant for neurodegenerative diseases that provide reliable, objective, and sensitive evaluation of disability and health-related quality of life. In this article, we will draw from the findings and experiences of the different IMI projects in discussing (1) the value of remote technologies to assess neurodegenerative diseases; (2) feasibility, acceptability and usability of digital assessments; (3) challenges related to the use of digital tools; (4) public involvement and the implementation of patient advisory boards; (5) regulatory learnings; and (6) the significance of inter-project exchange and data- and algorithm-sharing. Frontiers Media S.A. 2023-06-15 /pmc/articles/PMC10332162/ /pubmed/37435159 http://dx.doi.org/10.3389/fneur.2023.1210974 Text en Copyright © 2023 Brem, Kuruppu, de Boer, Muurling, Diaz-Ponce, Gove, Curcic, Pilotto, Ng, Cummins, Malzbender, Nies, Erdemli, Graeber, Narayan, Rochester, Maetzler, Aarsland and on behalf of the RADAR-AD Consortium. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Brem, Anna-Katharine Kuruppu, Sajini de Boer, Casper Muurling, Marijn Diaz-Ponce, Ana Gove, Dianne Curcic, Jelena Pilotto, Andrea Ng, Wan-Fai Cummins, Nicholas Malzbender, Kristina Nies, Vera J. M. Erdemli, Gul Graeber, Johanna Narayan, Vaibhav A. Rochester, Lynn Maetzler, Walter Aarsland, Dag Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
title | Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
title_full | Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
title_fullStr | Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
title_full_unstemmed | Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
title_short | Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
title_sort | digital endpoints in clinical trials of alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332162/ https://www.ncbi.nlm.nih.gov/pubmed/37435159 http://dx.doi.org/10.3389/fneur.2023.1210974 |
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