AI-PROGNOSIS - Digital Biomarkers Development Study (dBM-DEV)
dBM-DEV
AI-based Parkinson's Disease Risk Assessment and Prognosis - Digital Biomarkers Development, Validation and Verification Study (AI-PROGNOSIS dBM-DEV Study)
1 other identifier
observational
90
4 countries
4
Brief Summary
dBM-dev study is a multicentre low-intervention research study which concerns REM sleep behaviour disorder (RBD) who is the best predictor for neurodegenerative diseases including Parkinson's disease (PD). RBD can only be confirmed by polysomnography, which is a cumbersome procedure. The main objective of this study is to identify a novel, robust dBM for the detection of RBD using smartwatch-based recordings of passive data.The study is conducted step-wise on two subsequent cohorts referred to as the development cohort and the confirmation cohort.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2024
Shorter than P25 for all trials
4 active sites
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
May 14, 2024
CompletedFirst Posted
Study publicly available on registry
June 6, 2024
CompletedStudy Start
First participant enrolled
September 20, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 15, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
July 15, 2025
CompletedAugust 27, 2024
August 1, 2024
10 months
May 14, 2024
August 26, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Incidence of nights in a confirmation cohort in which RBD episodes are indicated by a score (digital biomarker) derived from passive actigraphy and photoplethysmography data captured by a smartwatch
the digital biomarker will be identified from passive actigraphy and photoplethysmography data of a separate development cohort
4 weeks
Secondary Outcomes (3)
correlation between a) and b)
4 weeks for a) 3 months for b)
Number of camera-based movement assessments acquired by each participant relative to the number of scheduled camera-based movement assessments.
4 weeks (for development cohort) and 3 months (for confirmation cohort)
Number of cognitive tasks completed by each participant relative to the number of scheduled cognitive tasks.
4 weeks (for development cohort) and 3 months (for confirmation cohort)
Study Arms (3)
Development cohort of patients with known RBD
Detection of RBD signs by using the connected smartwach during 4 weeks
Development cohort of matched controls = people who don't have RBD age and sex matched
Detection of RBD signs by using the connected smartwach during 4 weeks
Confirmation cohort of parkinson disease patients = people who are supposed to have RBD
Detection of RBD signs by using the connected smartwach during 3 months
Interventions
The smartwatch is worn by the patient and data are sent automatically to a server that detects if there are signs of RBD.
Eligibility Criteria
1 group of persons with RBD 1 group of persons without RBD 1 group of persons with Parkinson disease
You may qualify if:
- Group of RBD patients
- Diagnosis of RBD (confirmed by polysomnography)
- Able to use a compatible smartphone with the study app
- Having a care partner with whom they share their bedroom at night
- Group of Healthy matched controls:
- Healthy volunteers age and sex matched to the enrolled RBD patients.
- Able to use a compatible smartphone with the study app
- No history of RBD.
- Clinical confirmed diagnosis of PD
- RBD Screening Questionnaire score : 3 - 12 points
- Absence of dementia
- Able to use a compatible smartphone with the study app
- Having a care partner with whom they share their bedroom at night
You may not qualify if:
- Inability to consent for study procedures as judged by the investigator. Lacking motivation to participate in study procedures as judged by the investigator.
- Lack of social security.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Toulouselead
- European Unioncollaborator
- University Hospital Carl Gustav Caruscollaborator
- Aristotle University Of Thessalonikicollaborator
Study Sites (4)
Neurology Toulouse Hospital
Toulouse, France
Klinik und Poliklinik für Neurologie of University Hospital (Regulatory autorization pending)
Dresden, Germany
Hospital Ruber Internacional
Madrid, Spain
King's college of London (Regulatory authorization pending)
London, United Kingdom
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Margherita FABBRI
Toulouse Hospital
- STUDY CHAIR
Björn FALKENBURGER
University Hospital Carl Gustav Carus of Dresden
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 14, 2024
First Posted
June 6, 2024
Study Start
September 20, 2024
Primary Completion
July 15, 2025
Study Completion
July 15, 2025
Last Updated
August 27, 2024
Record last verified: 2024-08