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The MOG-AR score did not accurately predict relapses in MOGAD patients. However, immunosuppressive treatment after the initial attack was linked to a reduced risk of future relapses in MOGAD.

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Area of Science:

  • Neurology
  • Immunology
  • Clinical Research

Background:

  • Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD) is an autoimmune condition.
  • Identifying patients at high risk of relapse is crucial for timely intervention.
  • The MOG-AR score was developed to predict relapse risk in MOGAD.

Purpose of the Study:

  • To validate the MOG-AR score in a multicenter cohort of MOGAD patients.
  • To identify other factors associated with relapse risk in MOGAD.

Main Methods:

  • Retrospective enrollment of 190 MOGAD patients from 24 centers.
  • Application of the MOG-AR score to categorize patients into 4 risk levels.
  • Statistical analysis to explore the association of MOG-AR score and other variables with relapse.

Main Results:

  • The MOG-AR score showed limited accuracy in predicting relapses (AUC=0.64).
  • 41% of patients experienced at least one relapse during follow-up.
  • Immunosuppressive treatment post-initial MOGAD attack was associated with a lower relapse risk.

Conclusions:

  • The MOG-AR score is not a reliable predictor of disease course in MOGAD.
  • Early immunosuppressive treatment may reduce relapse rates in MOGAD patients.