5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson’s Patients Using Digital Mobility Outcomes

      other

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Wearable inertial sensors can be used to monitor mobility in real-world settings over extended periods. Although these technologies are widely used in human movement research, they have not yet been qualified by drug regulatory agencies for their use in regulatory drug trials. This is because the first generation of these sensors was unreliable when used on slow-walking subjects. However, intense research in this area is now offering a new generation of algorithms to quantify Digital Mobility Outcomes so accurate they may be considered as biomarkers in regulatory drug trials. This perspective paper summarises the work in the Mobilise-D consortium around the regulatory qualification of the use of wearable sensors to quantify real-world mobility performance in patients affected by Parkinson’s Disease. The paper describes the qualification strategy and both the technical and clinical validation plans, which have recently received highly supportive qualification advice from the European Medicines Agency. The scope is to provide detailed guidance for the preparation of similar qualification submissions to broaden the use of real-world mobility assessment in regulatory drug trials.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: not found

          Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

          J. Kurtzke (1983)
          One method of evaluating the degree of neurologic impairment in MS has been the combination of grades (0 = normal to 5 or 6 = maximal impairment) within 8 Functional Systems (FS) and an overall Disability Status Scale (DSS) that had steps from 0 (normal) to 10 (death due to MS). A new Expanded Disability Status Scale (EDSS) is presented, with each of the former steps (1,2,3 . . . 9) now divided into two (1.0, 1.5, 2.0 . . . 9.5). The lower portion is obligatorily defined by Functional System grades. The FS are Pyramidal, Cerebellar, Brain Stem, Sensory, Bowel & Bladder, Visual, Cerebral, and Other; the Sensory and Bowel & Bladder Systems have been revised. Patterns of FS and relations of FS by type and grade to the DSS are demonstrated.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results.

            We present a clinimetric assessment of the Movement Disorder Society (MDS)-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). The MDS-UDPRS Task Force revised and expanded the UPDRS using recommendations from a published critique. The MDS-UPDRS has four parts, namely, I: Non-motor Experiences of Daily Living; II: Motor Experiences of Daily Living; III: Motor Examination; IV: Motor Complications. Twenty questions are completed by the patient/caregiver. Item-specific instructions and an appendix of complementary additional scales are provided. Movement disorder specialists and study coordinators administered the UPDRS (55 items) and MDS-UPDRS (65 items) to 877 English speaking (78% non-Latino Caucasian) patients with Parkinson's disease from 39 sites. We compared the two scales using correlative techniques and factor analysis. The MDS-UPDRS showed high internal consistency (Cronbach's alpha = 0.79-0.93 across parts) and correlated with the original UPDRS (rho = 0.96). MDS-UPDRS across-part correlations ranged from 0.22 to 0.66. Reliable factor structures for each part were obtained (comparative fit index > 0.90 for each part), which support the use of sum scores for each part in preference to a total score of all parts. The combined clinimetric results of this study support the validity of the MDS-UPDRS for rating PD.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Parkinsonism: onset, progression, and mortality

              M Hoehn, M Yahr (1967)
              Neurology, 17(5), 427-427
                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                20 October 2020
                October 2020
                : 20
                : 20
                : 5920
                Affiliations
                [1 ]Department of Industrial Engineering, Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy; giorgio.davico@ 123456unibo.it
                [2 ]Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
                [3 ]Regulatory Affairs, Novartis Pharma AG, 4001 Basel, Switzerland; sabina.hernandez_penna@ 123456novartis.com (S.H.P.); wim.dartee@ 123456novartis.com (W.D.)
                [4 ]Department of Mechanical Engineering and Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield S10 2TN, UK; c.mazza@ 123456sheffield.ac.uk
                [5 ]SFI Insight Centre for Data Analytics, University College Dublin, 716 7777 Dublin, Ireland; b.caulfield@ 123456ucd.ie
                [6 ]Department of Geriatric Medicine, Robert Bosch Gesellschaft für Medizinische Forschung mbH, 70376 Stuttgart, Germany; clemens.becker@ 123456rbk.de
                [7 ]Department of Neurology, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany; w.maetzler@ 123456neurologie.uni-kiel.de
                [8 ]Barcelona Institute for Global Health, 08003 Barcelona, Spain; judith.garcia@ 123456isglobal.org
                [9 ]Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
                [10 ]CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
                [11 ]Institute of Translational and Clinical Research, Newcastle University, Newcastle NE1 7RU, UK; lynn.rochester@ 123456newcastle.ac.uk
                Author notes
                [* ]Correspondence: marco.viceconti@ 123456unibo.it ; Tel.: +39-051-6366-578
                Author information
                https://orcid.org/0000-0002-2293-1530
                https://orcid.org/0000-0002-5215-1746
                https://orcid.org/0000-0002-2046-529X
                Article
                sensors-20-05920
                10.3390/s20205920
                7589106
                33092143
                83a16dd9-684c-4ff6-8601-0b865ed2c5af
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 September 2020
                : 17 October 2020
                Categories
                Perspective

                Biomedical engineering
                inertial measurement unit,mobility performance,regulatory science
                Biomedical engineering
                inertial measurement unit, mobility performance, regulatory science

                Comments

                Comment on this article