Wearable Monitoring Captures Sleep Disturbances in Patients With Chronic Inflammatory Demyelinating Polyneuropathy

Area of Science:

• Neurology
• Digital Health
• Sleep Medicine

Background:

• Patients with chronic inflammatory demyelinating polyneuropathy (CIDP) often experience sleep disturbances, impacting fatigue and overall disease burden.
• Traditional sleep assessment methods are resource-intensive and may not reflect natural sleep patterns.
• Consumer-grade smartwatches present a potential alternative for monitoring sleep in CIDP patients.

Purpose of the Study:

• To evaluate the feasibility of using smartwatches for assessing sleep quality in individuals with CIDP.
• To explore the correlation between smartwatch-derived sleep measures and clinical outcomes in CIDP.

Main Methods:

• Prospective observational study (EMDA-CIDP) involving 46 CIDP patients over 6 months.
• Nighttime sleep data collected via smartwatch, alongside clinical scores and questionnaires (e.g., Pittsburgh Sleep Quality Index).
• Analysis of adherence criteria and correlation of objective sleep measures with subjective and clinical data.

Main Results:

• 40 participants met adherence criteria for smartwatch use.
• Smartwatch-derived sleep efficiency and wake after sleep onset (WASO) showed significant correlations with Pittsburgh Sleep Quality Index scores, clinical scores, and quality of life measures.
• Objective sleep parameters derived from smartwatches align with subjective sleep quality and disease impact in CIDP.

Conclusions:

• Smartwatches provide a feasible method for longitudinal sleep monitoring in CIDP patients.
• Digital health data integration offers promising avenues for long-term sleep assessment in this population.
• Further validation with polysomnography in larger studies is recommended.