Using Smartphone Sensors for Ataxia Trials: Consensus Guidance by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.

Autor: Németh AH; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.; Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK., Antoniades CA; Neurometrology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Dukart J; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.; Institute of Systems Neuroscience, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Minnerop M; Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.; Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.; Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany., Rentz C; Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany., Schuman BJ; Friedreich Ataxie Förderverein E.V, Pliening, Germany., van de Warrenburg B; Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, 6525, Nijmegen, Netherlands., Willemse I; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands., Bertini E; Unit of Neuromuscular and Neurodegenerative Disorders, Dept Neurosciences, Bambino Gesu' Children's Research Hospital, IRCCS, Rome, Italy., Gupta AS; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA., de Mello Monteiro CB; Faculty of Medicine, University of São Paulo, São Paulo, SP, Brazil.; School of Arts, Science and Humanities, University of São Paulo, São Paulo, SP, Brazil., Almoajil H; Physical Therapy Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Damman, Saudi Arabia., Quinn L; Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA., Perlman SB; University of California Los Angeles, Los Angeles, CA, USA., Horak F; Department of Neurology, Oregon Health & Science University, Portland, OR, USA.; APDM Precision Motion, Clario, Portland, OR, USA., Ilg W; Section Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.; Centre for Integrative Neuroscience (CIN), Tübingen, Germany., Traschütz A; Research Division 'Translational Genomics of Neurodegenerative Diseases', Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.; German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany., Vogel AP; Centre for Neuroscience of Speech, The University of Melbourne, Melbourne, Australia.; Division of Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.; Center for Neurology, University Hospital Tübingen, Tübingen, Germany.; Redenlab Inc, Melbourne, Australia., Dawes H; NIHR Exeter Biomedical Research Centre, Medical School, Faculty of Health and Life Sciences, College of Medicine and Health, St Lukes Campus, University of Exeter, Heavitree Road, Exeter, UK. h.dawes@exeter.ac.uk.
Jazyk: angličtina
Zdroj: Cerebellum (London, England) [Cerebellum] 2024 Jun; Vol. 23 (3), pp. 912-923. Date of Electronic Publication: 2023 Nov 28.
DOI: 10.1007/s12311-023-01608-3
Abstrakt: Smartphone sensors are used increasingly in the assessment of ataxias. To date, there is no specific consensus guidance regarding a priority set of smartphone sensor measurements, or standard assessment criteria that are appropriate for clinical trials. As part of the Ataxia Global Initiative Digital-Motor Biomarkers Working Group (AGI WG4), aimed at evaluating key ataxia clinical domains (gait/posture, upper limb, speech and oculomotor assessments), we provide consensus guidance for use of internal smartphone sensors to assess key domains. Guidance was developed by means of a literature review and a two stage Delphi study conducted by an Expert panel, which surveyed members of AGI WG4, representing clinical, research, industry and patient-led experts, and consensus meetings by the Expert panel to agree on standard criteria and map current literature to these criteria. Seven publications were identified that investigated ataxias using internal smartphone sensors. The Delphi 1 survey ascertained current practice, and systems in use or under development. Wide variations in smartphones sensor use for assessing ataxia were identified. The Delphi 2 survey identified seven measures that were strongly endorsed as priorities in assessing 3/4 domains, namely gait/posture, upper limb, and speech performance. The Expert panel recommended 15 standard criteria to be fulfilled in studies. Evaluation of current literature revealed that none of the studies met all criteria, with most being early-phase validation studies. Our guidance highlights the importance of consensus, identifies priority measures and standard criteria, and will encourage further research into the use of internal smartphone sensors to measure ataxia digital-motor biomarkers.
(© 2023. The Author(s).)
Databáze: MEDLINE
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