跳至主要内容
临床试验/NCT06444789
NCT06444789尚未招募不适用

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

University Hospital, Toulouse4 个研究点 分布在 4 个国家目标入组 90 人开始时间: 2024年9月20日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
90
试验地点
4
主要终点
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

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

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

时间窗: 4 weeks

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

次要结局

  • 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))
  • correlation between a) and b)(4 weeks for a) 3 months for b))
  • 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))

研究者

申办方类型
Other
责任方
Sponsor

研究点 (4)

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