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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
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06444789
Acronym
dBM-DEV
Enrollment
90
Registered
2024-06-06
Start date
2024-09-20
Completion date
2025-07-15
Last updated
2024-08-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Parkinson Disease

Keywords

REM sleep behaviour disorder

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.

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.

Interventions

DEVICEconnected smartwatch

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

Sponsors

European Union
CollaboratorOTHER
University Hospital Carl Gustav Carus
CollaboratorOTHER
Aristotle University Of Thessaloniki
CollaboratorOTHER
University Hospital, Toulouse
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

for development cohort: 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. Inclusion Criteria for confirmation cohort * 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

Exclusion criteria

for all cohorts: 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.

Design outcomes

Primary

MeasureTime frameDescription
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 smartwatch4 weeksthe digital biomarker will be identified from passive actigraphy and photoplethysmography data of a separate development cohort

Secondary

MeasureTime frameDescription
correlation between a) and b)4 weeks for a) 3 months for b)1. the incidence of daytime somnolence episodes per week 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 2. the score of the Epworth Sleepiness Scale at baseline, measured by the Spearman correlation coefficient, in a confirmation cohort
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)

Countries

France, Germany, Spain, United Kingdom

Contacts

Primary ContactNadege ALGANS
algans.n@chu-toulouse.fr33-561777204
Backup ContactAnna RIBYCKA
ribycka.a@chu-toulouse.fr33-561778252

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 3, 2026