Myasthenia gravis is an autoimmune neuromuscular disorder characterized by fluctuating weakness, which can worsen suddenly without a clear predictor. The hypothesis is that continuous monitoring of key aspects of patient physiology and activity coupled to rigorous telemedicine-performed examination has the potential to detect MG worsening which requires change in treatment with the benefit of avoiding need for hospitalization or emergent therapy. This study is to evaluate the reliability of the technology and patient compliance to the monitoring program
Study Type
OBSERVATIONAL
Enrollment
18
The George Washington University
Washington D.C., District of Columbia, United States
RECRUITINGSubject Study Completion
Proportion of subjects complete the 12-month study
Time frame: 12 months
Datasets retrieved from study assessments
Proportion of assessments provide data sets that can be analyzed
Time frame: 12 months
Subject Satisfaction
Proportion of subjects indicate satisfaction with outcome measure assessment
Time frame: 12 months
MG-ADL and MG-CE
Correlation of MG-CE individual assessments to MG-ADL assessments
Time frame: 12 months
Fitbit correlation
Correlation of Fitbit metrics to MG-ADL and MG-CE
Time frame: 12 months
Hospital Anxiety and Depression Scale
Utilizing HADS questionnaire
Time frame: 12 months
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