The ME&MG Digital Solution for Autonomous Assessment of Myasthenia Gravis

April 8, 2025 updated by: Ad scientiam

The ME&MG Digital Solution for Autonomous Assessment of Myasthenia Gravis: a Validation Study

ME&MG is a standalone software (digital solution) running on patients smartphones, connected to a web portal for physicians. It is intended to be used as an unsupervised digital self-assessment tool for the monitoring of disabilities in patients living with MG.

ME&MG contains digital active tests for the assessment of ptosis, breathing, dysarthria, upper- and lower-limb (arms and legs) weakness, treatment follow-up, and validated e-questionnaires related to daily activities, pain, fatigue, sleep, and depression disorders.

The objectives of this study are to validate the accuracy, reliability and reproducibility of the unsupervised at-home self-assessment of symptoms on the patient's smartphone with ME&MG versus the standard in-clinic testing, as well as to evaluate the safety of the solution, its usability and satisfaction.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Myasthenia gravis (MG) is an autoimmune neuromuscular disease characterised by fatigable muscle weakness due to autoantibodies targeting components of the neuromuscular junction.

Deficits are measured using validated clinical scales such as the Quantitative Myasthenia Gravis score (QMG) QMG, Myasthenia Gravis Composite Score (MCS), Myasthenia Gravis Activities of Daily Living score (MG-ADL), etc., Unfortunately, this type of assessment might require expensive material, time, and personnel training, which make MG assessment difficult for clinicians in routine care.

Research on the matter has highlighted the importance of Patient-Reported Outcomes (PROs), composite measures of disease severity and quality-of-life measurements. This has led to the development of a number of tools for the self-assessment of PROs with validated questionnaires. However, there is no tool that overcomes the constraints of standard tests such as the QMG while allowing for the collection of objective data and PROs between visits.

ME&MG is a standalone software (digital solution) running on patients smartphones, connected to a web portal for physicians. It is intended to be used as an unsupervised digital self-assessment tool for the monitoring of disabilities in patients living with MG.

ME&MG contains digital active tests for the assessment of ptosis, breathing, dysarthria, upper- and lower-limb (arms and legs) weakness, treatment follow-up, and validated e-questionnaires related to daily activities, pain, fatigue, sleep, and depression disorders.

The objectives of this study are to validate the accuracy, reliability and reproducibility of the unsupervised at-home self-assessment of symptoms on the patient's smartphone with ME&MG versus the standard in-clinic testing, as well as to evaluate the safety of the solution, its usability and satisfaction.

Study Type

Interventional

Enrollment (Estimated)

144

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Garches, France, 92380
        • Recruiting
        • Hôpital Raymond Poincaré
        • Contact:
        • Contact:
          • Dr Edouard Berling
        • Contact:
          • Dr Claire LEFEUVRE
        • Contact:
          • Dr Alice ROUYER
        • Contact:
          • Pr Guillaume NICOLAS
      • Grenoble, France
        • Not yet recruiting
        • CHU Grenoble
        • Contact:
        • Contact:
          • Dr Lagrange
      • Lille, France
        • Recruiting
        • Hôpital Salengro
        • Contact:
        • Contact:
          • Dr Tard
      • Nancy, France, 54035
        • Recruiting
        • CHRU Nancy
        • Contact:
        • Contact:
          • Dr Michaud
        • Contact:
          • Pauline DUCATEL
      • Nantes, France
      • Paris, France, 75013
        • Recruiting
        • Pitié-Salpetrière
        • Contact:
        • Contact:
          • Anthony Behin, Dr
        • Contact:
          • Tanya STOJKOVIC, Dr
      • Strasbourg, France, 67200
        • Completed
        • CHU de Strasbourg - Hôpital de Hautepierre
      • Toulouse, France
        • Recruiting
        • CHU Toulouse
        • Contact:
        • Contact:
          • Dr Cintas
    • Colorado
      • Aurora, Colorado, United States, 80204
        • Recruiting
        • University of Colorado Denver
        • Contact:
        • Contact:
          • Dr Ragole
    • Florida
      • Jacksonville, Florida, United States, 32209
        • Recruiting
        • University of Florida Health
        • Contact:
    • Indiana
      • Bloomington, Indiana, United States, 47401
        • Completed
        • HealthParterns Institute
      • Indianapolis, Indiana, United States, 46123
        • Recruiting
        • Indiana University Health
        • Contact:
    • Kentucky
      • Lexington, Kentucky, United States, 40536
        • Recruiting
        • University of Kentucky
        • Contact:
    • New York
      • Lake Success, New York, United States, 11042
        • Recruiting
        • Neurological Associates of Long Island, P.C.
        • Contact:
    • North Carolina
      • Durham, North Carolina, United States, 27708
        • Recruiting
        • Duke University
        • Contact:
        • Contact:
          • Dr Raja
    • Oregon
      • Portland, Oregon, United States, 97239
        • Recruiting
        • OHSU
        • Contact:
        • Contact:
          • Dr Chahin
    • Pennsylvania
      • Philadelphia, Pennsylvania, United States, 19144
        • Recruiting
        • Thomas Jefferson University
        • Contact:
        • Contact:
          • Dr Wong
    • Tennessee
      • Knoxville, Tennessee, United States, 37920
        • Not yet recruiting
        • The University of Tennessee Medical Center
        • Contact:
        • Contact:
          • Dr Scheiner
      • Nashville, Tennessee, United States, 37232
        • Recruiting
        • Vanderbilt Health
        • Contact:
        • Contact:
          • Dr Malatesta

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 60 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Aged over 18 Years
  • Diagnosed with gMG at screening with generalized muscle weakness meeting the clinical criteria for diagnosis of MG, as defined by the MGFA Clinical Classification Class II, III, or IV, and likely not in need of a respirator for the duration of the study, as judged by the investigator
  • With positive serologic testing for anti-AChR autoantibody at screening
  • Have read the information sheet and signed the informed consent form
  • Own a personal smartphone which software version is above 13 for IOS and 8 for Android included
  • Able to use a smartphone
  • Able to read language in which the mobile application is available (French, English, Spanish) and able to understand pictograms

Exclusion Criteria:

  • Subjects having undergone thymectomy Plasma Exchange Therapy or Intravenous Immunoglobulin Therapy within four weeks of screening
  • Subjects having initiated FcRn inhibitor therapy within the four weeks preceding screening
  • Known medical or psychological condition(s) or risk factor(s) that, as judged by the investigator, might interfere with the subject's full participation in the study, pose any additional risk for the subject, or confound the assessment of the subject or outcome of the study.
  • Pregnant and nursing women
  • Person under guardianship or curatorship
  • Current drugs or/and alcohol abuse that could influence performance on the tests, as judged by the investigator
  • Participant included in another ME&MG clinical study
  • Participant has participated in another clinical study within the previous 30 days of screening or is currently participating in another study that, in the opinion of the Investigator, might interfere with the subject's full participation in the study or confound the assessment of the subject or outcome of the study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Non-Randomized
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Healthy volunteers
Healthy volunteers will perform one in-clinic visit and will use the app at-home once
ME&MG is a standalone software (digital solution) running on patients smartphones, connected to a web portal for physicians. It is intended to be used as an unsupervised digital self-assessment tool for the monitoring of disabilities in patients living with MG.
Experimental: MG patients
MG patients will perform 3 in-clinic visits and use the ME&MG app at-home during 12 months
ME&MG is a standalone software (digital solution) running on patients smartphones, connected to a web portal for physicians. It is intended to be used as an unsupervised digital self-assessment tool for the monitoring of disabilities in patients living with MG.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To demonstrate that ME&MG tests results performed at-home, under unsupervised condition, are correlated to standard tests results performed in-clinic, under supervised conditions
Time Frame: baseline
Pearson correlation coefficient will be used to assess the relationship between digital tests versus standard tests
baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To compare results between in-clinic digital tests and in-clinic standard tests, test to test
Time Frame: baseline
pearson correlation coefficient between digital tests and standard tests
baseline
To assess reproducibility between in-clinic digital tests and at-home digital tests
Time Frame: baseline, day 1, day 89, day 90
intraclass correlation coefficient
baseline, day 1, day 89, day 90
To assess test-retest reliability of at-home digital tests
Time Frame: Day1, Day 2, Day 3, Day 87, Day 88, Day 89
intraclass correlation coefficient mean k raters (ICCk; k=day)
Day1, Day 2, Day 3, Day 87, Day 88, Day 89
To compare results obtained with the at-home ME&MG composite score and the in-clinic standard QMG composite score
Time Frame: baseline, day 1
Pearson correlation coefficient between digital composite score and QMG score
baseline, day 1
To assess adverse events related to the use of the mobile application
Time Frame: through study completion, an average of 1 year
Descriptive analysis of adverse events (AEs) related to the use of the application
through study completion, an average of 1 year
To assess satisfaction and user experience with the smartphone application
Time Frame: through study completion, an average of 1 year
descriptive analysis of questionnaires resulsts
through study completion, an average of 1 year
To assess correlation of the at-home ME&MG composite score with the Myasthenia Gravis Activities of Daily Living (MG-ADL) score
Time Frame: baseline, day 90, day 365
Pearson's correlation coefficient between ME&MG composite score and MG-ADL scores
baseline, day 90, day 365
to assess daily activites
Time Frame: 12 months
Myasthenia Gravis Activities of Daily Living (MG-ADL)
12 months
to assess depression
Time Frame: 12 months
Patient Health Questionnaire-8 (PHQ8)
12 months
to assess pain
Time Frame: 12 months
pain likert scale
12 months
to assess insomnia
Time Frame: 12 months
Insomnia Severity Index
12 months
To assess at-home compliance to the ME&MG smartphone application
Time Frame: through study completion, an average of 1 year
descriptive analysis of adherence data
through study completion, an average of 1 year
To assess quality of life
Time Frame: Baseline, day 90, Day 365
36-Item Short Form Survey (SF-36)
Baseline, day 90, Day 365

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 24, 2024

Primary Completion (Estimated)

September 24, 2025

Study Completion (Estimated)

September 24, 2026

Study Registration Dates

First Submitted

September 27, 2022

First Submitted That Met QC Criteria

September 29, 2022

First Posted (Actual)

October 4, 2022

Study Record Updates

Last Update Posted (Actual)

April 11, 2025

Last Update Submitted That Met QC Criteria

April 8, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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