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Not Yet RecruitingNCT06444789

AI-PROGNOSIS - Digital Biomarkers Development Study (dBM-DEV)

AI-based Parkinson's Disease Risk Assessment and Prognosis - Digital Biomarkers Development, Validation and Verification Study (AI-PROGNOSIS dBM-DEV Study)

Status
Not Yet Recruiting
Phase
Study type
Observational
Enrollment
90 (estimated)
Sponsor
University Hospital, Toulouse · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Accepted

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.

Detailed description

The development cohort comprises 30 patients with RBD and 30 matched controls on sex and age with patients RBD. The confirmation cohort comprises 30 patients with PD. Following a baseline visit comprising standard clinical evaluation and Parkinson questionnaires, participants will undergo daily-life dBM tracking over a duration of 4 weeks for development cohort and 3 months for confirmation cohort. Additionally, PD patients enrolled in the confirmation cohort will receive a polysomnography which permits to verificate if they have a RBD. The investigation is conducted in four European sites.

Conditions

Interventions

TypeNameDescription
DEVICEconnected smartwatchThe smartwatch is worn by the patient and data are sent automatically to a server that detects if there are signs of RBD.

Timeline

Start date
2024-09-20
Primary completion
2025-07-15
Completion
2025-07-15
First posted
2024-06-06
Last updated
2024-08-27

Locations

4 sites across 4 countries: France, Germany, Spain, United Kingdom

Source: ClinicalTrials.gov record NCT06444789. Inclusion in this directory is not an endorsement.