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NCT Number: NCT06444789

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

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Neurology Toulouse Hospital, Toulouse, France

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About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

connected smartwatch

Device

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

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

    Time frame: 4 weeks

    the digital biomarker will be identified from passive actigraphy and photoplethysmography data of a separate development cohort

Secondary outcomes

  1. correlation between a) and b)

    Time frame: 4 weeks for a) 3 months for b)

    • 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
    • the score of the Epworth Sleepiness Scale at baseline, measured by the Spearman correlation coefficient, in a confirmation cohort
  2. Number of camera-based movement assessments acquired by each participant relative to the number of scheduled camera-based movement assessments.

    Time frame: 4 weeks (for development cohort) and 3 months (for confirmation cohort)

  3. Number of cognitive tasks completed by each participant relative to the number of scheduled cognitive tasks.

    Time frame: 4 weeks (for development cohort) and 3 months (for confirmation cohort)

Study contacts

Contact information is provided by the study sponsor or research team.

Anna RIBYCKA

CONTACT

[email protected]

33-561778252

Nadege ALGANS

CONTACT

[email protected]

33-561777204

Sponsors and collaborators

Lead sponsor

University Hospital, Toulouse

Other

Collaborators

  • Aristotle University Of Thessaloniki
  • European Union
  • University Hospital Carl Gustav Carus

Registry information

Official study title

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

Acronym: dBM-DEV

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Jun 6, 2024
Registry last updated
Aug 27, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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