Improving Walking Ability in Parkinson Disease
PASTA
Parkinson App SmarTphone Aimed to Improve Walking Ability and Reduce Fall (P.A.S.T.A.)
1 other identifier
observational
300
1 country
1
Brief Summary
Gait impairments of patients with Parkinson's disease (PD) limit the independence in the daily activities and sensibly increase the risk of falls. New gait analysis methods, based on wearable inertial sensors, have been proposed to track the gait features during treatment and in real-life conditions. Gait training based on auditory cues as Rhythmical Auditory Stimulation (RAS) have preliminarily shown positive effects improving gait velocity, stride length, step cadence of walking in PD. In the current project, the research group will aim to develop a smartphone application (Parkinson App Smartphone Aimed: P.A.St.A.) integrated with sensors and RAS. In a second time, investigators will analyze the spatio-temporal gait parameters obtained by the wearable sensors and the sociodemographic and clinical data, thus generating a big data set, to improve the knowledge about current pharmacological therapies and rehabilitation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2019
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 18, 2019
CompletedFirst Posted
Study publicly available on registry
April 19, 2019
CompletedStudy Start
First participant enrolled
April 23, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2021
CompletedJanuary 31, 2020
January 1, 2020
1.1 years
March 18, 2019
January 30, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Correlations between inertial sensor-derived measures of motor function and clinician ratings during performance of the UPDRS part 3 and total exam at baseline
Features extracted from continuous accelerometer signals recorded during real life for fourteen days, will be correlated with each relevant component of the UPDRS part 3 and corresponding clinician ratings to quantify the relationship between these measures.
Fourteen days
Secondary Outcomes (1)
Time Up&Go
Baseline
Study Arms (1)
Parkinson Disease Patients
Patients with PD will be recruited at Fondazione Policlinico Universitario Gemelli and Fondazione Don Gnocchi ONLUS in Rome. All included patients will be affected by idiopathic PD. Clinical data will be acquired by a trained neurologist. We will remotely monitor 300 patients through wearable sensors. Subjects will be instructed to wear the sensor for 14 consecutive days.
Interventions
Parkinson Disease Patients monitored by werable sensors
Eligibility Criteria
PD patients will be enrolled among outpatients of the Movement Disorders Unit of the Gemelli University Hospital and outpatients of the Fondazione Don Carlo Gnocchi Onlus.
You may qualify if:
- Idiopathic Parkinson's disease diagnosed by a neurologist
- Ability to sign informed consent
You may not qualify if:
- Inability to sign informed consent
- Inability to fill out questionnaires (i.e. due to poor vision, inability to read, etc)
- Presence of psychiatric diseases (episode or any form of psychosis, diagnosed by a psychiatrist in the last year).
- Age under 18 yrs old
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fondazione Don Carlo Gnocchi Onlus
Roma, 00166, Italy
Related Publications (25)
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PMID: 26404288BACKGROUNDRochester L, Hetherington V, Jones D, Nieuwboer A, Willems AM, Kwakkel G, Van Wegen E. The effect of external rhythmic cues (auditory and visual) on walking during a functional task in homes of people with Parkinson's disease. Arch Phys Med Rehabil. 2005 May;86(5):999-1006. doi: 10.1016/j.apmr.2004.10.040.
PMID: 15895348BACKGROUNDdel Olmo MF, Arias P, Furio MC, Pozo MA, Cudeiro J. Evaluation of the effect of training using auditory stimulation on rhythmic movement in Parkinsonian patients--a combined motor and [18F]-FDG PET study. Parkinsonism Relat Disord. 2006 Apr;12(3):155-64. doi: 10.1016/j.parkreldis.2005.11.002. Epub 2006 Feb 3.
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PMID: 20684907BACKGROUNDBaker K, Rochester L, Nieuwboer A. The effect of cues on gait variability--reducing the attentional cost of walking in people with Parkinson's disease. Parkinsonism Relat Disord. 2008;14(4):314-20. doi: 10.1016/j.parkreldis.2007.09.008. Epub 2007 Nov 7.
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PMID: 27447434BACKGROUNDIosa M, Fusco A, Morone G, Pratesi L, Coiro P, Venturiero V, De Angelis D, Bragoni M, Paolucci S. Assessment of upper-body dynamic stability during walking in patients with subacute stroke. J Rehabil Res Dev. 2012;49(3):439-50. doi: 10.1682/jrrd.2011.03.0057.
PMID: 22773202BACKGROUNDIosa M, Fusco A, Morone G, Paolucci S. Development and decline of upright gait stability. Front Aging Neurosci. 2014 Feb 5;6:14. doi: 10.3389/fnagi.2014.00014. eCollection 2014.
PMID: 24550829BACKGROUNDIosa M, Morelli D, Marro T, Paolucci S, Fusco A. Ability and stability of running and walking in children with cerebral palsy. Neuropediatrics. 2013 Jun;44(3):147-54. doi: 10.1055/s-0033-1336016. Epub 2013 Mar 13.
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PMID: 26679417BACKGROUNDIosa M, Morelli D, Nisi E, Sorbara C, Negrini S, Gentili P, Paolucci S, Fusco A. Assessment of upper body accelerations in young adults with intellectual disabilities while walking, running, and dual-task running. Hum Mov Sci. 2014 Apr;34:187-95. doi: 10.1016/j.humov.2014.02.005. Epub 2014 Mar 11.
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PMID: 19319758BACKGROUNDPadua L, Pazzaglia C, Pareyson D, Schenone A, Aiello A, Fabrizi GM, Cavallaro T, Santoro L, Manganelli F, Gemignani F, Vitetta F, Quattrone A, Mazzeo A, Russo M, Vita G; CMT-TRIAAL Group. Novel outcome measures for Charcot-Marie-Tooth disease: validation and reliability of the 6-min walk test and StepWatch() Activity Monitor and identification of the walking features related to higher quality of life. Eur J Neurol. 2016 Aug;23(8):1343-50. doi: 10.1111/ene.13033. Epub 2016 May 10.
PMID: 27160471BACKGROUNDMileti I, Germanotta M, Di Sipio E, Imbimbo I, Pacilli A, Erra C, Petracca M, Rossi S, Del Prete Z, Bentivoglio AR, Padua L, Palermo E. Measuring Gait Quality in Parkinson's Disease through Real-Time Gait Phase Recognition. Sensors (Basel). 2018 Mar 20;18(3):919. doi: 10.3390/s18030919.
PMID: 29558410BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Augusto Fusco, M.D.; Ph.D.
IRCCS Fondazione Don Carlo Gnocchi
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator; M.D.; Ph.D.
Study Record Dates
First Submitted
March 18, 2019
First Posted
April 19, 2019
Study Start
April 23, 2019
Primary Completion
May 31, 2020
Study Completion
December 31, 2021
Last Updated
January 31, 2020
Record last verified: 2020-01
Data Sharing
- IPD Sharing
- Will not share