Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases - Scorecard - MDSpire

Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases

  • By

  • Bing Zhai

  • Luan Chen

  • Xujun Ma

  • Clémence Pinaud

  • Meenakshi Chatterjee

  • Juha M. Kortelainen

  • Rana Zia Ur Rehman

  • Teemu Ahmaniemi

  • Stefan Avey

  • Yu Guan

  • Victoria Macrae

  • Chloe Hinchliffe

  • Silvia Del Din

  • Nikolay V. Manyakov

  • Robert Göder

  • Robbin Romijnders

  • Walter Maetzler

  • Ralf Reilmann

  • Svenja Aufenberg

  • Robin Schubert

  • C. Janneke van der Woude

  • Daqing Zhang

  • Wan-Fai Ng

  • June 17, 2026

  • 0 min

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Clinical Scorecard: Assessing the Viability of Utilizing Digital Sleep Tracker Data to Predict Next-Day Fatigue and Sleepiness in Neurodegenerative and Immune-Mediated Inflammatory Disorders

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationIndividuals with NDDs and IMIDs, including healthy adults, with a clearer distinction.
Care Setting

Key Highlights

  • Findings are exploratory and highlight the need for larger studies.

Guideline-Based Recommendations

Diagnosis

  • Utilize standardized questionnaire-based patient-reported outcomes (PROs) such as the Fatigue Severity Scale for evaluating fatigue and sleep disturbance.

Management

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Predictive performance of sleep trackers for fatigue in chronic disease cohorts remains limited, indicating a need for caution in application.

        Clinical Best Practices

        • Integrate digital sleep tracking into routine clinical assessments for fatigue, considering the exploratory nature of current findings.

        Related Resources & Content

        Original Source(s)

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