Two-step sleep disorder screen had no false positives in 54 controls
Four questions followed by wrist movement monitoring flagged 73% of confirmed cases and correctly classified 100% of controls among 129 participants.
Our read
Biomarkers- Studied:
- Case-control study of 129 adults with and without isolated RBD (Multicenter)
- What changed:
- The two-stage screen correctly ruled out the sleep disorder in 100% of controls, versus 87.3% with actigraphy alone
- The catch:
- Controls denying dream enactment lacked mandatory sleep testing or bedpartner input, risking missed cases
- In the record:
- The first paper on wrist actigraphy with results in people; 31 on record in all.
Editor of record: Boris Djordjevic · AgingResearch.News
Adults aged 40–80 without neurodegenerative disease were studied in a retrospective case-control analysis across five cohorts. The 396 participants had a mean age of 64, and 55% were male. Overnight video sleep testing confirmed 99 cases of isolated rapid-eye-movement sleep behavior disorder, in which people act out dreams.
The questionnaire asked about acting out dreams, reduced smell or taste, constipation and symptoms on standing. Wrist devices recorded movement at home for at least 14 nights. Researchers evaluated the two-stage screen in 75 cases and 54 controls who completed both assessments, using computer models trained on other participants. Four questions followed by movement monitoring flagged 73% of cases and correctly classified 100% of controls.
Why it matters
This sleep disorder can signal the early stages of certain neurodegenerative diseases. The authors proposed the low-cost screening approach as a scalable way to identify this warning sign when access to confirmatory sleep testing is limited.
Caveats
The two-stage results came from a retrospective case-control sample of 75 cases and 54 controls, not a community screening program. People with neurodegenerative disease were excluded, and the authors called for validation in community populations.
From the paper
- Participants
Data from 396 participants (99 iRBD, 297 controls) across five cohorts were used in this study.
- Limitation
First, recruitment from established research cohorts and complex sleep cases referred to two academic centers may have enhanced the robustness of the wearable‐based algorithm while potentially limiting sensitivity for detecting milder or subclinical RBD cases outside tertiary referral settings.
Quoted word for word from the full text on PubMed Central.
- Machine learning
- Isolated rapid eye movement sleep behavior disorder
- Questionnaires
- Wrist actigraphy
- Humans
The paper
A Two-Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Icahn School of Medicine at Mount Sinai
Annals of Clinical and Translational Neurology, May 22, 2026, Open access
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