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Morgan C, Rolinski M, McNaney R, Jones B, Rochester L, Maetzler W, Craddock I, Whone AL. Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment. JOURNAL OF PARKINSON'S DISEASE 2020; 10:429-454. [PMID: 32250314 PMCID: PMC7242826 DOI: 10.3233/jpd-191781] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/31/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The emergence of new technologies measuring outcomes in Parkinson's disease (PD) to complement the existing clinical rating scales has introduced the possibility of measurement occurring in patients' own homes whilst they freely live and carry out normal day-to-day activities. OBJECTIVE This systematic review seeks to provide an overview of what technology is being used to test which outcomes in PD from free-living participant activity in the setting of the home environment. Additionally, this review seeks to form an impression of the nature of validation and clinimetric testing carried out on the technological device(s) being used. METHODS Five databases (Medline, Embase, PsycInfo, Cochrane and Web of Science) were systematically searched for papers dating from 2000. Study eligibility criteria included: adults with a PD diagnosis; the use of technology; the setting of a home or home-like environment; outcomes measuring any motor and non-motor aspect relevant to PD, as well as activities of daily living; unrestricted/unscripted activities undertaken by participants. RESULTS 65 studies were selected for data extraction. There were wide varieties of participant sample sizes (<10 up to hundreds) and study durations (<2 weeks up to a year). The metrics evaluated by technology, largely using inertial measurement units in wearable devices, included gait, tremor, physical activity, bradykinesia, dyskinesia and motor fluctuations, posture, falls, typing, sleep and activities of daily living. CONCLUSIONS Home-based free-living testing in PD is being conducted by multiple groups with diverse approaches, focussing mainly on motor symptoms and sleep.
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Affiliation(s)
- Catherine Morgan
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK
- Movement Disorders Group, Bristol Brain Centre, Southmead Hospital, North Bristol National Health Service Trust, Bristol, UK
| | - Michal Rolinski
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Movement Disorders Group, Bristol Brain Centre, Southmead Hospital, North Bristol National Health Service Trust, Bristol, UK
| | - Roisin McNaney
- School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK
| | - Bennet Jones
- Library and Knowledge Service, Learning and Research, Southmead Hospital, North Bristol National Health Service Trust, Bristol, UK
| | - Lynn Rochester
- Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
- Newcastle Upon Tyne Hospitals National Health Service Foundation Trust, Newcastle Upon Tyne, UK
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts University, Kiel, Germany
| | - Ian Craddock
- School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK
| | - Alan L. Whone
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Movement Disorders Group, Bristol Brain Centre, Southmead Hospital, North Bristol National Health Service Trust, Bristol, UK
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Szász JA, Constantin VA, Orbán-Kis K, Rácz A, Bancu LA, Georgescu D, Szederjesi J, Mihály I, Fárr AM, Kelemen K, Vajda T, Szatmári S. Profile Of Patients With Advanced Parkinson's disease Suitable For Device-Aided Therapies: Restrospective Data Of A Large Cohort Of Romanian Patients. Neuropsychiatr Dis Treat 2019; 15:3187-3195. [PMID: 32009788 PMCID: PMC6859121 DOI: 10.2147/ndt.s230052] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 10/29/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND There is insufficient data in the literature regarding the real-life, daily clinical practice evaluation of patients with advanced Parkinson's disease (APD). We are not sure what is the upper limit of dopaminergic medication, especially the levodopa (LD) dosage, and how it is influenced by access and suitability to the various add-on and device-aided therapies (DAT). OBJECTIVE This retrospective study explored the profile of APD patients that were considered and systematically evaluated regarding the suitability for DAT. METHODS We analyzed the data from 311 consecutive patients with APD hospitalized between 2011 and 2017 that 1) described at least 2 hrs/day off periods divided into at least two instances/day (except early morning akinesia), 2) were in stage 3 or above on the Hoehn and Yahr scale, 3) were with or without dyskinesia, and 4) received at least four levodopa doses/day combined with adjuvant therapy. RESULTS Of the 311 patients enrolled initially, 286 patients showed up for the second visit, of which in 125 cases we assessed that DAT would be necessary. Finally, 107 patients were tested in our clinic to confirm the efficacy of LCIG. Patients selected for DAT had significantly longer off periods, more frequent dyskinesia, early morning akinesia, and freezing despite having significantly higher LD doses than those with an improved conservative therapy. CONCLUSION Patients with APD can have a variety of symptoms, and because symptoms and therapeutical efficacy can be manifested in many different combinations, it is not possible to decide using a single, rigid set of criteria which APD patient is eligible for DAT. Nevertheless, treating physicians should refer APD patients to a specialized movement disorder center when patients with an average daily dose of LD of at least 750-1000 mg and maximal complementary therapies present daily motor complications that significantly reduce the quality of life.
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Affiliation(s)
- József Attila Szász
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,2nd Clinic of Neurology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - Viorelia Adelina Constantin
- 2nd Clinic of Neurology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania.,Doctoral School, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | - Károly Orbán-Kis
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,2nd Clinic of Neurology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - Attila Rácz
- 2nd Clinic of Psychiatry, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - Ligia Ariana Bancu
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,1st Clinic of Internal Medicine, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - Dan Georgescu
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,Department of Gastroenterology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - János Szederjesi
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,Department of Anesthesiology and Intensive Care, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - István Mihály
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,2nd Clinic of Neurology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - Ana-Mária Fárr
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania
| | - Krisztina Kelemen
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,2nd Clinic of Neurology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
| | - Tamás Vajda
- Department of Computer Science, Faculty of Technical and Human Sciences, Sapientia Hungarian University of Transylvania, Târgu Mureș, Romania
| | - Szabolcs Szatmári
- University of Medicine and Pharmacy of Târgu Mures, Târgu Mureş, Romania.,2nd Clinic of Neurology, Târgu Mures County Emergency Clinical Hospital, Târgu Mures, Romania
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