Predictive markers of disease evolution after a CIS in everyday practice

Area of Science:

• Neurology
• Neuroimmunology
• Clinical Research

Background:

• Clinically isolated syndromes (CIS) are early indicators of potential multiple sclerosis (MS) development in 20-85% of cases.
• Accurate prognostication of conversion to clinically definite MS (CDMS) and future disability is vital for personalized treatment strategies.
• Numerous prognostic markers are under investigation to predict MS disease course in CIS patients.

Purpose of the Study:

• To review markers with proven predictive power for CIS patients in clinical practice.
• To identify the most effective tools for predicting conversion to CDMS and long-term disability.
• To highlight the unmet need for improved prognostic markers.

Main Methods:

• Review of existing literature on prognostic markers for CIS.
• Focus on markers with established predictive value in routine clinical settings.
• Comparative analysis of marker robustness for predicting CDMS versus disability progression.

Main Results:

• Markers for conversion to CDMS are generally more robust than those for disability progression.
• Magnetic resonance imaging (MRI) is the most powerful tool for predicting both CDMS conversion and mid-term disability.
• Age of onset and oligoclonal bands in cerebrospinal fluid (CSF) are other useful predictive markers.

Conclusions:

• MRI is currently the leading tool for predicting MS progression in CIS patients.
• Established markers like age and CSF oligoclonal bands offer valuable prognostic information.
• A need persists for novel, practical markers to enhance the accuracy of MS prognostication.