Literature DB >> 30032695

Role of the Personal KinetiGraph in the routine clinical assessment of Parkinson's disease: recommendations from an expert panel.

Rajesh Pahwa1, Stuart H Isaacson2, Diego Torres-Russotto3, Fatta B Nahab4, Peter M Lynch5, Katya E Kotschet6,7.   

Abstract

INTRODUCTION: Evaluation of people with Parkinson's disease (PD) is often complex due to heterogeneity of symptoms and disease course, including the variability of motor fluctuations and dyskinesia. Routine clinical evaluations may be incomplete, may not accurately capture important symptoms, and may not reflect day-to-day variability. While significant advances have been made in wearable ambulatory continuous objective monitoring (COM) technologies, many clinicians remain uncertain of how to incorporate them in clinical practice, including the value to clinical decision-making. The Personal KinetiGraph™ (PKG) has FDA clearance in the United States, and has recently been used in several clinical studies. Areas covered: An expert group of movement disorders neurologists convened to discuss the clinical utility of the PKG in the routine assessment of people with PD. Based on their experience, the group identified clinical scenarios where objective information gained from review of PKG reports can provide useful information to improve clinical management. Expert commentary: PKG provides clinically meaningful data in patients with PD that can aid the clinician in evaluating patients and optimizing their pharmacologic therapy. Early clinical experience and expert opinion suggest that utilization of COM technologies such as the PKG have the potential to improve medical care in people with PD.

Entities:  

Keywords:  Parkinson’s disease; ambulatory monitoring; assessment; bradykinesia; continuous objective monitoring; dyskinesia; technology; wearable

Mesh:

Year:  2018        PMID: 30032695     DOI: 10.1080/14737175.2018.1503948

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN: 1473-7175            Impact factor:   4.618


  15 in total

Review 1.  Closing the loop for patients with Parkinson disease: where are we?

Authors:  Hazhir Teymourian; Farshad Tehrani; Katherine Longardner; Kuldeep Mahato; Tatiana Podhajny; Jong-Min Moon; Yugender Goud Kotagiri; Juliane R Sempionatto; Irene Litvan; Joseph Wang
Journal:  Nat Rev Neurol       Date:  2022-06-09       Impact factor: 44.711

Review 2.  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

3.  Feasibility and Utility of mHealth for the Remote Monitoring of Parkinson Disease: Ancillary Study of the PD_manager Randomized Controlled Trial.

Authors:  Dimitris Gatsios; Angelo Antonini; Giovanni Gentile; Andrea Marcante; Clelia Pellicano; Lucia Macchiusi; Francesca Assogna; Gianfranco Spalletta; Heather Gage; Morro Touray; Lada Timotijevic; Charo Hodgkins; Maria Chondrogiorgi; George Rigas; Dimitrios I Fotiadis; Spyridon Konitsiotis
Journal:  JMIR Mhealth Uhealth       Date:  2020-06-29       Impact factor: 4.773

4.  Qualitative Evaluation of the Personal KinetiGraphTM Movement Recording System in a Parkinson's Clinic.

Authors:  Anthony Santiago; James W Langston; Rita Gandhy; Rohit Dhall; Salima Brillman; Linda Rees; Carrolee Barlow
Journal:  J Parkinsons Dis       Date:  2019       Impact factor: 5.568

5.  PKG Movement Recording System Use Shows Promise in Routine Clinical Care of Patients With Parkinson's Disease.

Authors:  Rajeshree Joshi; Jeffrey M Bronstein; A Keener; Jaclyn Alcazar; Diane D Yang; Maya Joshi; Neal Hermanowicz
Journal:  Front Neurol       Date:  2019-10-01       Impact factor: 4.003

6.  A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinson's Disease.

Authors:  Han Zhang; Chuantao Li; Wei Liu; Jingying Wang; Junhong Zhou; Shouyan Wang
Journal:  Sensors (Basel)       Date:  2020-10-29       Impact factor: 3.576

7.  A blinded, controlled trial of objective measurement in Parkinson's disease.

Authors:  Holly Woodrow; Malcolm K Horne; Chathurini V Fernando; Katya E Kotschet
Journal:  NPJ Parkinsons Dis       Date:  2020-11-20

8.  A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson's disease using an ambulatory monitor.

Authors:  Hamid Khodakarami; Navid Shokouhi; Malcolm Horne
Journal:  J Neuroeng Rehabil       Date:  2021-07-16       Impact factor: 4.262

9.  Objective measurement in Parkinson's disease: a descriptive analysis of Parkinson's symptom scores from a large population of patients across the world using the Personal KinetiGraph®.

Authors:  Rajesh Pahwa; Filip Bergquist; Malcolm Horne; Michael E Minshall
Journal:  J Clin Mov Disord       Date:  2020-04-30

10.  Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.

Authors:  Jeremy Watts; Anahita Khojandi; Rama Vasudevan; Fatta B Nahab; Ritesh A Ramdhani
Journal:  Sensors (Basel)       Date:  2021-05-20       Impact factor: 3.576

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