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Search: L773:1353 8020 OR L773:1873 5126 > Research review > Antonini Angelo

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1.
  • Chaudhuri, K. Ray, et al. (author)
  • Parkinson's disease: The non-motor issues
  • 2011
  • In: Parkinsonism & Related Disorders. - : Elsevier BV. - 1873-5126 .- 1353-8020. ; 17:10, s. 717-723
  • Research review (peer-reviewed)abstract
    • Non-motor symptoms (NMS) of Parkinson's disease remain the most under-appreciated and under-researched when taken as a whole. Data is emerging that it is the "totaL" burden of NMS that is the major determinant of quality of life not a single NMS such as depression for instance. Only recently validated tools such as the NMSQuest which empowers patients to declare NMS and the NMS scale, the SCOPA scales, and the modified version of the MDS-UPDRS have become available and validated for bedside clinical assessment of NMS. For the first time clinical trials have been incorporating non-motor measures as outcome measures and clinical recommendations for treatment of non-motor symptoms of PD are being published. This review aims to address some of these topical and "real life" aspects of modern day management of Parkinson's. (C) 2011 Published by Elsevier Ltd.
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2.
  • van Wamelen, Daniel J., et al. (author)
  • Digital health technology for non-motor symptoms in people with Parkinson's disease : Futile or future?
  • 2021
  • In: Parkinsonism and Related Disorders. - : Elsevier BV. - 1353-8020. ; 89, s. 186-194
  • Research review (peer-reviewed)abstract
    • Introduction: There is an ongoing digital revolution in the field of Parkinson's disease (PD) for the objective measurement of motor aspects, to be used in clinical trials and possibly support therapeutic choices. The focus of remote technologies is now also slowly shifting towards the broad but more “hidden” spectrum of non-motor symptoms (NMS). Methods: A narrative review of digital health technologies for measuring NMS in people with PD was conducted. These digital technologies were defined as assessment tools for NMS offered remotely in the form of a wearable, downloadable as a mobile app, or any other objective measurement of NMS in PD that did not require a hospital visit and could be performed remotely. Searches were performed using peer-reviewed literature indexed databases (MEDLINE, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane CENTRAL Register of Controlled Trials), as well as Google and Google Scholar. Results: Eighteen studies deploying digital health technology in PD were identified, for example for the measurement of sleep disorders, cognitive dysfunction and orthostatic hypotension. In addition, we describe promising developments in other conditions that could be translated for use in PD. Conclusion: Unlike motor symptoms, non-motor features of PD are difficult to measure directly using remote digital technologies. Nonetheless, it is currently possible to reliably measure several NMS and further digital technology developments are underway to offer further capture of often under-reported and under-recognised NMS.
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