Real-PD Trial: Development of Clinical Prognostic Models for Parkinson's Disease
Real-PD: Development of Clinical Prognostic Models for Parkinson's Disease From Large-scale Wearable Sensor Deployment and Clinical Data - a Population Based Trial
1 other identifier
observational
304
1 country
1
Brief Summary
Background: Long-term management of Parkinson's disease (PD) does not reach its full potential due to lack of knowledge about disease progression. The Real-PD study aim to evaluate the feasibility and compliance of usage of wearable sensors in PD patients in real life. Moreover, an explorative analysis concerning activity level, medication intake and mood will be done. Methods: Overall, 1000 PD patients and 250 physiotherapist will be enrolled in this observational study. Dutch PD patients will be recruited across the country and an assessment will be performed using a short version of the Parkinson's Progression Markers Initiative (PPMI) protocol. Moreover, participants will wear a set of medical devices (Pebble Smartwatch, fall detector) and they will use a smartphone with The Fox Insight App (Android app), 24/7, during 13 weeks. Primary measures of interest are: 1) physical activity, falls and tremor, measured by the axial accelerometers embedded in the Pebble watch and fall detector; and 2) medication intake and mood reports measured by patients' self-report in the Android app. To measure motor impact, an assessment will be performed by physiotherapists who are all certified to perform the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Discussion: Management of PD patients is complex and appears to be a challenging task for health care professionals. The main reason is the lack of knowledge in the disease pattern. This issue could be solved by a long term follow-up of patients' during their everyday life, and wearable medical devices can act as a way to collect data about every day life activities. Therefore, the Real-PD study will be a first contribution in increasing the lack of knowledge in disease progression, developing a new medical decision system and improving PD patients' care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2015
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
June 2, 2015
CompletedFirst Posted
Study publicly available on registry
June 17, 2015
CompletedStudy Start
First participant enrolled
July 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
November 1, 2016
CompletedResults Posted
Study results publicly available
December 6, 2021
CompletedDecember 6, 2021
October 1, 2017
1.3 years
June 2, 2015
January 7, 2021
October 28, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Parkinson's Disease Symptoms
The MDS-UPDRS is a revision of the Unified Parkinson's Disease Rating Scale (UPDRS). It was developed to evaluate various aspects of Parkinson's disease including non-motor and motor experiences of daily living, as well as motor complications. The MDS-UPDRS characterizes the extent and burden of disease across various populations. Here, we used data from one-point assessment (baseline). The total score used here was calculated by a sum of all scores from the 4 sub-scales (i.e. part I, up to part IV) composing the MDS-UPDRS. Total score ranges from 0 to 272. A higher score indicates higher disease severity and burden, being thus a worse outcome.
Baseline
Depression Scores as a Measure of Depression Rates
The scores obtained with the Geriatric Depression Scale were analysed in order to create a percentage of probably depressed participants. The total score goes from 0 to 15. A score higher than 6 indicates higher probability of suffer from a depression.
Baseline
Cognitive Impairment.
Total sum score obtained with the Montreal Cognitive Assessment. We analyzed the full score to investigate percentage of participants with a possible cognitive impairment. The Montreal Cognitive sum scores ranges from 0 to 30, in which a score lower or equal to 26 is considered as possible cognitive decline.
Baseline
Independency Level
The total sum score obtained with the Schwab and England activities of daily living scale were analyzed to describe the functional level of the sample. The total sum scores varies from 0 to 100, in which lower scores are associated with more dependency of others to perform daily life activities.
Baseline
Secondary Outcomes (7)
Number of Falls Per Patient Registered by the Falls Detector.
Patients will be automatically assessed during the follow-up time (up to 13 weeks after the enrollment date), 24 hours a day, 7 days a week.
Number of Mood Reports for Each Patient Measured With a Four Point Scale
Patients will be assessed during the follow-up time (up to 13 weeks after the enrollment date). It is expected that the assessment (self-report) will be performed as many times as the patient wants to report how they feel or at least once a day.
Number of Medication Intake Annotations Made by Each Participant Via the Self-report App.
Baseline
Time That Each Patient Was Active During the Day
Patients will be automatically assessed continuously during the follow-up time (up to 13 weeks after the enrollment date), 24 hours a day, 7 days a week. The analyses was limited to walking activities.
Level of Activity for Each Patient During the Day
Patients will be automatically assessed during the follow-up time (up to 13 weeks after the enrollment date), 24 hours a day, 7 days a week.
- +2 more secondary outcomes
Study Arms (5)
Cohort 1
Dutch Parkinson's patients resident in the region of Noord-Holland whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.
Cohort 2
Dutch Parkinson's patients resident in the region of Zuid-Holland whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.
Cohort 3
Dutch Parkinson's patients resident in the region of Gelderland and Utrecht whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.
Cohort 4
Dutch Parkinson's patients resident in the region of Groningen, Friesland, Drenthe and Overijssel whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.
Cohort 5
Dutch Parkinson's patients resident in the region of Zeeland, Noord-Brabant and Limburg whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.
Interventions
During the 13 week follow-up, trained physiotherapists will perform a standardized clinical assessment, based on the PPMI protocol (www.ppmi-info.org) for every included patient. This assessment will last for 60 minutes, and it will be done once.
Patients will be asked to wear a smartwatch and a pendant movement sensor, both with triaxial accelerometers, during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.
Eligibility Criteria
Dutch Parkinson patients.
You may qualify if:
- Currently own and use a smartphone device with access to the Internet
- years of age or older;
- Diagnosed with Parkinson's disease by a physician;
- Able to walk without any assistance.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cohort 1
Multiple Locations, North Holland, Netherlands
Related Publications (13)
Parkka J, Ermes M, Korpipaa P, Mantyjarvi J, Peltola J, Korhonen I. Activity classification using realistic data from wearable sensors. IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):119-28. doi: 10.1109/titb.2005.856863.
PMID: 16445257BACKGROUNDHobert MA, Maetzler W, Aminian K, Chiari L. Technical and clinical view on ambulatory assessment in Parkinson's disease. Acta Neurol Scand. 2014 Sep;130(3):139-47. doi: 10.1111/ane.12248. Epub 2014 Apr 1.
PMID: 24689772BACKGROUNDMaetzler W, Domingos J, Srulijes K, Ferreira JJ, Bloem BR. Quantitative wearable sensors for objective assessment of Parkinson's disease. Mov Disord. 2013 Oct;28(12):1628-37. doi: 10.1002/mds.25628. Epub 2013 Sep 12.
PMID: 24030855BACKGROUNDPatel S, Lorincz K, Hughes R, Huggins N, Growdon J, Standaert D, Akay M, Dy J, Welsh M, Bonato P. Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors. IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):864-73. doi: 10.1109/TITB.2009.2033471. Epub 2009 Oct 20.
PMID: 19846382BACKGROUNDPatel S, Chen BR, Mancinelli C, Paganoni S, Shih L, Welsh M, Dy J, Bonato P. Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1552-5. doi: 10.1109/IEMBS.2011.6090452.
PMID: 22254617BACKGROUNDTsanas A, Little MA, McSharry PE, Ramig L. Using the cellular mobile telephone network to remotely monitor parkinsons disease symptom severity. IEEE Transactions on Biomedical Engineering. 2012.
BACKGROUNDArora S, Venkataraman V, Donohue S, Biglan KM, Dorsey ER, Little MA, editors. High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on; 2014: IEEE.
BACKGROUNDPastorino M, Arredondo M, Cancela J, Guillen S, editors. Wearable sensor network for health monitoring: the case of Parkinson disease. Journal of Physics: Conference Series; 2013: IOP Publishing.
BACKGROUNDSharma V, Mankodiya K, De La Torre F, Zhang A, Ryan N, Ton TG, et al. SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch. Design, User Experience, and Usability User Experience Design for Everyday Life Applications and Services: Springer; 2014. p. 103-14.
BACKGROUNDTzallas AT, Tsipouras MG, Rigas G, Tsalikakis DG, Karvounis EC, Chondrogiorgi M, Psomadellis F, Cancela J, Pastorino M, Waldmeyer MT, Konitsiotis S, Fotiadis DI. PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease. Sensors (Basel). 2014 Nov 11;14(11):21329-57. doi: 10.3390/s141121329.
PMID: 25393786BACKGROUNDLakshminarayana R, Wang D, Burn D, Chaudhuri KR, Cummins G, Galtrey C, Hellman B, Pal S, Stamford J, Steiger M, Williams A; SMART-PD Investigators. Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson's disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014). Trials. 2014 Sep 25;15:374. doi: 10.1186/1745-6215-15-374.
PMID: 25257518BACKGROUNDGschwind YJ, Eichberg S, Marston HR, Ejupi A, Rosario Hd, Kroll M, Drobics M, Annegarn J, Wieching R, Lord SR, Aal K, Delbaere K. ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial. BMC Geriatr. 2014 Aug 20;14:91. doi: 10.1186/1471-2318-14-91.
PMID: 25141850BACKGROUNDSilva de Lima AL, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ. Large-Scale Wearable Sensor Deployment in Parkinson's Patients: The Parkinson@Home Study Protocol. JMIR Res Protoc. 2016 Aug 26;5(3):e172. doi: 10.2196/resprot.5990.
PMID: 27565186DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Marjan Meinders
- Organization
- Radboudumc
Study Officials
- PRINCIPAL INVESTIGATOR
Bastiaan R Bloem, Prof. Dr.
Radboud University Medical Center
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 13 Weeks
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 2, 2015
First Posted
June 17, 2015
Study Start
July 1, 2015
Primary Completion
November 1, 2016
Study Completion
November 1, 2016
Last Updated
December 6, 2021
Results First Posted
December 6, 2021
Record last verified: 2017-10