Capturing Key MG-symptoms Using Smartphone Recordings.

Sponsor
Leiden University Medical Center
Study ID
NCT06743490
Status
Recruiting
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Conditions

  • Fatigue
  • Myasthenia Gravis

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Accepted

Study Details

This study will make use of a cross-sectional design of MG patients and non-MG participants to quantitatively assess key MG symptoms, and to explore the applicability of machine learning algorithms to their measurement.

Key Dates

First listed
Dec 20, 2024
Start date
Mar 18, 2025
Status verified
Jul 2026
Primary completion
Aug 28, 2026
Completion
Sep 30, 2026

Study Design

Enrollment
225 participants (estimated)

Arms

  • Arm: MG patients
    MG patients with at least one of the symptoms of interest (i.e. dysarthria, dysphonia, proximal arm fatigue and/or ptosis). We aim to include 150 patients with Myasthenia Gravis.
  • Arm: Non-MG participants
    Non-MG participants that do not have a medical history of any of the symptoms of interest. We aim to include 75 controls.

Primary Outcome Measure

Differentiating between MG-patients and non-MG participants using digital features of dysarhtria, dysphonia, proximal arm fatigue and ptosis. [ Time Frame: Assessed at a single time point during outpatient visit ]

Central Contacts

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