A Two‐Stage Questionnaire and Actigraphy Screening for <scp>iRBD</scp> in a Multicenter Retrospective Cohort
OBJECTIVE: Isolated rapid-eye-movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video-polysomnography. We assessed a two-stage screening strategy combining a brief questionnaire on rapid-eye-movement sleep behavior disorder symptoms and other prodromes with wrist actigraphy across multiple case-control cohorts. METHODS: Participants aged 40-80 without neurodegenerative disease were recruited from five cohorts; all cases were confirmed by video-polysomnography. The questionnaire was administered to 289 participants, and 236 underwent ≥ 14 nights of home wrist actigraphy. The wearable-based algorithm was built on four movement features (mean motor activity, activity index, short or long immobile bouts, twitch activity). Models were trained with nested cross-validation using XGBoost. RESULTS: The full retrospective cohort included 396 participants (99 cases, 297 controls; mean age 64 ± 11; 55% male). The dream enactment question alone achieved an area under the curve of 0.85, which improved to 0.86 using the four-item questionnaire. Actigraphy alone achieved 82% sensitivity and 84% specificity. In the subgroup completing both assessments (75 cases, 54 controls), the two-stage protocol-questionnaire followed by actigraphy-yielded 68% sensitivity and 100% specificity using the dream enactment question alone, and 73% sensitivity and 100% specificity using the four-item questionnaire. INTERPRETATION: A two-stage protocol combining questionnaire and actigraphy demonstrated high specificity and good sensitivity for detecting isolated rapid-eye-movement sleep behavior disorder in this multicenter cohort. This low-cost, scalable strategy is compatible with widely used wearable devices and warrants validation in community-based populations.
Authors
- Liqhwa Ncube
- Eliana Jacobs
- Emmanuel During (ORCID: https://orcid.org/0000-0002-0539-5115)
- Fanny M. Elahi (ORCID: https://orcid.org/0000-0003-4663-4992)
- Boris Gilyadov
- Caleb A. Massimi (ORCID: https://orcid.org/0009-0003-8058-7138)
- Giorgio Ricciardiello Mejia
- Salonee Marwaha
- Kathleen Poston
- Kang Hyun Ryu
- Eva Grzegorczyk (ORCID: https://orcid.org/0009-0004-2752-8048)
- Claudia Kunney
- Li Zhou
- Andre Metzger
- Joseph Winer
- Ankit Parekh
- Emmanuel Mignot
- Andreas Brink‐Kjaer
Institutions
- Palo Alto University (US)
- Stanford Medicine (US)
- Artificial Intelligence in Medicine (Canada) (CA)
- Technical University of Denmark (DK)
- Stanford University (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Annals of Clinical and Translational Neurology
- Published
- 2026-05-22
- DOI
- https://doi.org/10.1002/acn3.70439
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00