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Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
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Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy.

Lars Masanneck1,2, Jan Voth1, Noëmi Gmahl3

  • 1Department of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.

Annals of Clinical and Translational Neurology
|July 10, 2025
PubMed
Summary

Smartwatches can track daily steps to effectively measure disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). This technology offers valuable, objective data for clinical assessment.

Keywords:
CIDPneuromuscular diseasewearables

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Area of Science:

  • Neurology
  • Digital Health
  • Wearable Technology

Background:

  • Chronic inflammatory demyelinating polyneuropathy (CIDP) is a rare autoimmune disorder affecting peripheral nerves.
  • Assessing disease severity and quality of life in CIDP patients typically relies on clinical evaluations and patient-reported outcomes.
  • There is a need for objective, continuous monitoring tools to complement traditional assessments in CIDP management.

Purpose of the Study:

  • To evaluate the utility of smartwatch and smartphone-based activity metrics for assessing disease severity and quality of life in CIDP patients.
  • To determine if wearable technology can provide objective data for monitoring CIDP progression and impact on daily living.

Main Methods:

  • A prospective observational study (EMDA-CIDP trial) involving adult CIDP patients on stable IVIG therapy.
  • Clinical assessments included I-RODS and INCAT disability scales and quality of life questionnaires.
  • Activity metrics were collected using consumer-grade smartwatches, with adherence criteria applied; a smartphone cohort served as a comparator.

Main Results:

  • Smartwatch-derived maximum daily step count strongly correlated with clinical disease severity scores (I-RODS: ρ=0.74; INCAT: ρ=-0.54).
  • Additional smartwatch metrics showed correlations with quality of life domains.
  • Smartphone-derived metrics from a validation cohort exhibited weaker correlations compared to smartwatch data.

Conclusions:

  • Smartwatches can provide valuable, objective data for assessing disease status and quality of life in CIDP patients.
  • Integrating smartwatch metrics into clinical practice may enhance traditional evaluations and improve understanding of CIDP.
  • Further large-scale studies are warranted to validate these promising findings.