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Use of a Smartphone to Gather Parkinson's Disease Neurological Vital Signs during the COVID-19 Pandemic.
Alberts, Jay L; Koop, Mandy Miller; McGinley, Marisa P; Penko, Amanda L; Fernandez, Hubert H; Shook, Steven; Bermel, Robert A; Machado, André; Rosenfeldt, Anson B.
  • Alberts JL; Cleveland Clinic, Lerner Research Institute, Department of Biomedical Engineering, Cleveland, OH, USA.
  • Koop MM; Cleveland Clinic, Neurological Institute, Center for Neurological Restoration, Cleveland, OH, USA.
  • McGinley MP; Cleveland Clinic, Lerner Research Institute, Department of Biomedical Engineering, Cleveland, OH, USA.
  • Penko AL; Cleveland Clinic, Neurological Institute, Mellen Center for Multiple Sclerosis, Cleveland, OH, USA.
  • Fernandez HH; Cleveland Clinic, Lerner Research Institute, Department of Biomedical Engineering, Cleveland, OH, USA.
  • Shook S; Cleveland Clinic, Neurological Institute, Center for Neurological Restoration, Cleveland, OH, USA.
  • Bermel RA; Cleveland Clinic, Lerner College of Medicine, Cleveland, OH, USA.
  • Machado A; Cleveland Clinic, Neurological Institute, Center for Neurological Restoration, Cleveland, OH, USA.
  • Rosenfeldt AB; Cleveland Clinic, Neurological Institute, Mellen Center for Multiple Sclerosis, Cleveland, OH, USA.
Parkinsons Dis ; 2021: 5534282, 2021.
Article in English | MEDLINE | ID: covidwho-1183402
ABSTRACT

INTRODUCTION:

To overcome travel restrictions during the COVID-19 pandemic, consumer-based technology was rapidly deployed to the smartphones of individuals with Parkinson's disease (PD) participating in a 12-month exercise trial. The aim of the project was to determine the feasibility of utilizing a combined synchronous and asynchronous self-administered smartphone application to characterize PD symptoms.

METHODS:

A synchronous video virtual visit was completed for the administration of virtual Movement Disorder Society-Unified Parkinson's Disease Rating Scale III (vMDS-UPDRS III). Participants asynchronously completed a mobile application consisting of a measure of upper extremity bradykinesia (Finger Tapping Test) and information processing.

RESULTS:

Twenty-three individuals completed the assessments. The mean vMDS-UPDRS III was 23.65 ± 8.56 points. On average, the number of taps was significantly greater for the less affected limb, 97.96 ± 17.77 taps, compared to the more affected, 89.33 ± 18.66 taps (p = 0.025) with a significantly greater number of freezing episodes for the more affected limb (p < 0.05). Correlation analyses indicated the number of errors and the number of freezing episodes were significantly related to clinical ratings of vMDS-UPDRS III bradykinesia (Rho = 0.44, p < 0.01; R = 0.43, p < 0.01, resp.) and finger tapping performance (Rho = 0.31, p = 0.03; Rho = 0.32, p = 0.03, resp.). Discussion. The objective characterization of bradykinesia, akinesia, and nonmotor function and their relationship with clinical disease metrics indicate smartphone technology provides a remote method of characterizing important aspects of PD performance. While theoretical and position papers have been published on the potential of telemedicine to aid in the management of PD, this report translates the theory into a viable reality.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Parkinsons Dis Year: 2021 Document Type: Article Affiliation country: 2021

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Parkinsons Dis Year: 2021 Document Type: Article Affiliation country: 2021