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A “HOLTER” for Parkinson’s disease: Validation of the ability to detect on-off states using the REMPARK system

Overview of attention for article published in Gait & Posture, September 2017
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Title
A “HOLTER” for Parkinson’s disease: Validation of the ability to detect on-off states using the REMPARK system
Published in
Gait & Posture, September 2017
DOI 10.1016/j.gaitpost.2017.09.031
Pubmed ID
Authors

Àngels Bayés, Albert Samá, Anna Prats, Carlos Pérez-López, Maricruz Crespo-Maraver, Juan Manuel Moreno, Sheila Alcaine, Alejandro Rodriguez-Molinero, Berta Mestre, Paola Quispe, Ana Correia de Barros, Rui Castro, Alberto Costa, Roberta Annicchiarico, Patrick Browne, Tim Counihan, Hadas Lewy, Gabriel Vainstein, Leo R. Quinlan, Dean Sweeney, Gearóid ÓLaighin, Jordi Rovira, Daniel Rodrigue z-Martin, Joan Cabestany

Abstract

The treatment of Parkinson's disease (PD) with levodopa is very effective. However, over time, motor complications (MCs) appear, restricting the patient from leading a normal life. One of the most disabling MCs is ON-OFF fluctuations. Gathering accurate information about the clinical status of the patient is essential for planning treatment and assessing its effect. Systems such as the REMPARK system, capable of accurately and reliably monitoring ON-OFF fluctuations, are of great interest. To analyze the ability of the REMPARK System to detect ON-OFF fluctuations. Forty-one patients with moderate to severe idiopathic PD were recruited according to the UK Parkinson's Disease Society Brain Bank criteria. Patients with motor fluctuations, freezing of gait and/or dyskinesia and who were able to walk unassisted in the OFF phase, were included in the study. Patients wore the REMPARK System for 3days and completed a diary of their motor state once every hour. The record obtained by the REMPARK System, compared with patient-completed diaries, demonstrated 97% sensitivity in detecting OFF states and 88% specificity (i.e., accuracy in detecting ON states). The REMPARK System detects an accurate evaluation of ON-OFF fluctuations in PD; this technology paves the way for an optimisation of the symptomatic control of PD motor symptoms as well as an accurate assessment of medication efficacy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 17%
Student > Ph. D. Student 20 12%
Other 14 9%
Student > Doctoral Student 13 8%
Student > Master 12 7%
Other 27 17%
Unknown 49 30%
Readers by discipline Count As %
Engineering 25 15%
Medicine and Dentistry 21 13%
Neuroscience 18 11%
Nursing and Health Professions 9 6%
Computer Science 7 4%
Other 25 15%
Unknown 58 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Gait & Posture
#3,009
of 3,322 outputs
Outputs of similar age
#288,569
of 328,164 outputs
Outputs of similar age from Gait & Posture
#79
of 94 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,322 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.