Literature DB >> 30948242

Effect of using a wearable device on clinical decision-making and motor symptoms in patients with Parkinson's disease starting transdermal rotigotine patch: A pilot study.

Stuart H Isaacson1, Babak Boroojerdi2, Olga Waln3, Martha McGraw4, David L Kreitzman5, Kevin Klos6, Fredy J Revilla7, Dustin Heldman8, Maureen Phillips9, Dolors Terricabras10, Michael Markowitz11, Franz Woltering12, Stan Carson13, Daniel Truong14.   

Abstract

BACKGROUND: Feedback from wearable biosensors may help assess motor function in Parkinson's disease (PD) patients and titrate medication. Kinesia 360 continuously monitors motor symptoms via wrist and ankle sensors.
METHODS: PD0049 was a 12-week pilot study to investigate whether using Kinesia 360 at home could improve motor symptom management in PD patients starting transdermal dopamine agonist rotigotine. Adults with PD and insufficiently controlled motor symptoms (prescribed rotigotine) were randomized 1:1 to Control Group (CG) or Experimental Group (EG) before starting rotigotine. Motor symptoms were assessed in all patients at baseline and Week 12 (W12) using Unified PD Rating Scale (UPDRS) III and Kinesia ONE, which measures standardized motor tasks via a sensor on the index finger. Between baseline and W12, EG used Kinesia 360 at home; clinicians used the data to supplement standard care in adjusting rotigotine dosage.
RESULTS: At W12, least squares mean improvements in UPDRS II (-2.1 vs 0.5, p = 0.004) and UPDRS III (-5.3 vs -1.0, p = 0.134) were clinically meaningfully greater, and mean rotigotine dosage higher (4.8 vs 3.9 mg/24 h) in EG (n = 19) vs CG (n = 20). Mean rotigotine dosage increase (+2.8 vs + 1.9 mg/24 h) and mean number of dosage changes (2.8 vs 1.8) during the study were higher in EG vs CG. Tolerability and retention rates were similar.
CONCLUSION: Continuous, objective, motor symptom monitoring using a wearable biosensor as an adjunct to standard care may enhance clinical decision-making, and may improve outcomes in PD patients starting rotigotine.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biosensing techniques/instrumentation; Outcomes; Parkinson's disease; Quantitative motor assessment; Wearable devices

Mesh:

Substances:

Year:  2019        PMID: 30948242     DOI: 10.1016/j.parkreldis.2019.01.025

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  14 in total

1.  Rotigotine Transdermal Patch: A Review in Parkinson's Disease.

Authors:  James E Frampton
Journal:  CNS Drugs       Date:  2019-07       Impact factor: 5.749

2.  Real-World Evidence for a Smartwatch-Based Parkinson's Motor Assessment App for Patients Undergoing Therapy Changes.

Authors:  Aaron J Hadley; David E Riley; Dustin A Heldman
Journal:  Digit Biomark       Date:  2021-09-08

3.  A Remote Digital Monitoring Platform to Assess Cognitive and Motor Symptoms in Huntington Disease: Cross-sectional Validation Study.

Authors:  Florian Lipsmeier; Cedric Simillion; Atieh Bamdadian; Rosanna Tortelli; Lauren M Byrne; Yan-Ping Zhang; Detlef Wolf; Anne V Smith; Christian Czech; Christian Gossens; Patrick Weydt; Scott A Schobel; Filipe B Rodrigues; Edward J Wild; Michael Lindemann
Journal:  J Med Internet Res       Date:  2022-06-28       Impact factor: 7.076

4.  Prodromal Markers of Upper Limb Deficits in FMR1 Premutation Carriers and Quantitative Outcome Measures for Future Clinical Trials in Fragile X-associated Tremor/Ataxia Syndrome.

Authors:  Joan A O'Keefe; Deborah Bang; Erin E Robertson; Alexandras Biskis; Bichun Ouyang; Yuanqing Liu; Gian Pal; Elizabeth Berry-Kravis; Deborah A Hall
Journal:  Mov Disord Clin Pract       Date:  2020-08-29

Review 5.  Point of view: Wearable systems for at-home monitoring of motor complications in Parkinson's disease should deliver clinically actionable information.

Authors:  Behnaz Ghoraani; James E Galvin; Joohi Jimenez-Shahed
Journal:  Parkinsonism Relat Disord       Date:  2021-01-30       Impact factor: 4.891

Review 6.  The state of telemedicine for persons with Parkinson's disease.

Authors:  Robin van den Bergh; Bastiaan R Bloem; Marjan J Meinders; Luc J W Evers
Journal:  Curr Opin Neurol       Date:  2021-08-01       Impact factor: 6.283

7.  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.

Authors:  Catherine Morgan; Michal Rolinski; Roisin McNaney; Bennet Jones; Lynn Rochester; Walter Maetzler; Ian Craddock; Alan L Whone
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

Review 8.  Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Authors:  Jamie L Adams; Karlo J Lizarraga; Emma M Waddell; Taylor L Myers; Stella Jensen-Roberts; Joseph S Modica; Ruth B Schneider
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-03       Impact factor: 6.030

9.  Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device.

Authors:  Nikhil Mahadevan; Charmaine Demanuele; Hao Zhang; Dmitri Volfson; Bryan Ho; Michael Kelley Erb; Shyamal Patel
Journal:  NPJ Digit Med       Date:  2020-01-15

10.  The relationships between three-axis accelerometer measures of physical activity and motor symptoms in patients with Parkinson's disease: a single-center pilot study.

Authors:  Hiroto Ito; Daichi Yokoi; Rei Kobayashi; Hisashi Okada; Yasukazu Kajita; Satoshi Okuda
Journal:  BMC Neurol       Date:  2020-09-10       Impact factor: 2.474

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