Literature DB >> 27392872

Wearable Sensors for Advanced Therapy Referral in Parkinson's Disease.

Dustin A Heldman1, Joseph P Giuffrida1, Esther Cubo2.   

Abstract

BACKGROUND: Advanced therapies, such as deep brain stimulation and levodopa-carbidopa intestinal gel, can significantly improve quality of life in advanced Parkinson's disease (PD). However, determining who should be referred for advanced therapy is a challenging problem.
OBJECTIVE: The objective was to determine the impact of remote monitoring using objective, wearable sensors on the advanced therapy referral rate in patients with advanced PD and if sensor data differed in patients who were referred and those who were not.
METHODS: A retrospective, exploratory, secondary analysis was performed on data collected in a study that followed forty individuals with advanced PD for one year with half receiving standard care and half using motion sensor-based remote monitoring once per month in conjunction with standard care. Advanced therapy referral rates were compared between groups. For the group who underwent remote monitoring, objective motor features representing symptoms, dyskinesias, and fluctuations were examined to determine if objective kinematic features differed between patients who were and were not recommended for advanced therapy.
RESULTS: The advanced therapy referral rate was significantly higher for patients when a clinician had access to remote monitoring reports compared to standard care alone (63.6% versus 11.8%, p < 0.01). Bradykinesia severity, bradykinesia fluctuations, and dyskinesia severity differed significantly (p < 10e-8, p < 10e-5, and p < 0.01, respectively) between patients recommended and not recommended for advanced therapy.
CONCLUSIONS: Remote monitoring technologies can capture motor features that may be clinically useful in identifying patients who may be candidates for advanced therapy. This could lead to development of automated screening algorithms, improve referral efficiency, and expand access to advanced therapies for patients with advanced PD.

Entities:  

Keywords:  Parkinson’s disease; deep brain stimulation; levodopa-carbidopa intestinal gel; telemedicine

Mesh:

Substances:

Year:  2016        PMID: 27392872     DOI: 10.3233/JPD-160830

Source DB:  PubMed          Journal:  J Parkinsons Dis        ISSN: 1877-7171            Impact factor:   5.568


  10 in total

Review 1.  The Promise of Telemedicine for Movement Disorders: an Interdisciplinary Approach.

Authors:  H Ben-Pazi; P Browne; P Chan; E Cubo; M Guttman; A Hassan; J Hatcher-Martin; Z Mari; E Moukheiber; N U Okubadejo; A Shalash
Journal:  Curr Neurol Neurosci Rep       Date:  2018-04-13       Impact factor: 5.081

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

Review 3.  [Remote assessment of idiopathic Parkinson's disease : Developments in diagnostics, monitoring and treatment].

Authors:  U Kleinholdermann; J Melsbach; D J Pedrosa
Journal:  Nervenarzt       Date:  2019-12       Impact factor: 1.214

4.  The BRadykinesia Akinesia INcoordination (BRAIN) Tap Test: Capturing the Sequence Effect.

Authors:  Hasan Hasan; Maggie Burrows; Dilan S Athauda; Bruce Hellman; Ben James; Thomas Warner; Thomas Foltynie; Gavin Giovannoni; Andrew J Lees; Alastair J Noyce
Journal:  Mov Disord Clin Pract       Date:  2019-06-25

Review 5.  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

6.  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

Review 7.  Technologies Assessing Limb Bradykinesia in Parkinson's Disease.

Authors:  Hasan Hasan; Dilan S Athauda; Thomas Foltynie; Alastair J Noyce
Journal:  J Parkinsons Dis       Date:  2017       Impact factor: 5.568

Review 8.  Quantifying Motor Impairment in Movement Disorders.

Authors:  James J FitzGerald; Zhongjiao Lu; Prem Jareonsettasin; Chrystalina A Antoniades
Journal:  Front Neurosci       Date:  2018-04-11       Impact factor: 4.677

9.  Wearable Solutions for Patients with Parkinson's Disease and Neurocognitive Disorder: A Systematic Review.

Authors:  Asma Channa; Nirvana Popescu; Vlad Ciobanu
Journal:  Sensors (Basel)       Date:  2020-05-09       Impact factor: 3.576

10.  Predictive Value of Ambulatory Objective Movement Measurement for Outcomes of Levodopa/Carbidopa Intestinal Gel Infusion.

Authors:  Gökçe Kilinçalp; Anne-Christine Sjöström; Barbro Eriksson; Björn Holmberg; Radu Constantinescu; Filip Bergquist
Journal:  J Pers Med       Date:  2022-01-02
  10 in total

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