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Predictors and Prognostic Factors of Myasthenia Gravis Outcome

Assiut University · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
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This study aims to characterize the clinical features, frequency of different subgroups of MG, and identify predictors of treatment responsiveness among different subgroups of MG. The predictors are including primary outcome (percentage of changes in MG scales at baseline at time of enrollment and after 3 months) and secondary outcome (treatment-related adverse events). Also it aims to determine the frequency of patients with refractory MG. This information will be used to understand the trends and mechanisms of disease relapse, and optimal management strategies.
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