Identification and management of subclinical disease activity in early multiple sclerosis: a review

Daniel Ontaneda1, Tanuja Chitnis2, Kottil Rammohan3

  • 1Mellen Center for Multiple Sclerosis, Department of Neurology, Cleveland Clinic, Cleveland, OH, USA. ontaned@ccf.org.

Journal of Neurology
|October 21, 2023
PubMed
Abstract

Insights

Early treatment for multiple sclerosis (MS) is vital. Recognizing hidden disease indicators beyond relapses and MRI scans can improve management and prevent disability.

Area of Science:

  • Neurology
  • Immunology

Background:

  • Early treatment initiation in multiple sclerosis (MS) is critical for preventing irreversible neurological damage and disability.
  • Current MS disease activity assessment relies on relapse rates and MRI lesion activity, potentially missing early indicators.
  • Hidden indicators like cognitive impairment and fatigue are often overlooked in routine monitoring.

Purpose of the Study:

  • To highlight the limitations of current MS disease activity monitoring.
  • To advocate for the inclusion of 'hidden' indicators in MS assessment.
  • To emphasize the need for revised MS management strategies, including timely therapeutic intervention.

Main Methods:

  • Review of current practices in MS disease activity monitoring.
  • Discussion of early indicators of MS disease activity beyond relapses and MRI.
  • Analysis of silent progression and its implications for patient outcomes.

Main Results:

  • Standard MS monitoring may fail to detect 'silent progression' or worsening disease.
  • Patients may be considered stable despite underlying disease activity.
  • Observational studies suggest early high-efficacy therapy (HET) can reduce disability progression.

Conclusions:

  • There is an urgent need to reassess MS disease activity and worsening measurement.
  • Incorporating 'hidden' indicators and biomarkers can provide a more comprehensive picture of MS.
  • Timely therapeutic intervention with HET or DMT adjustments is crucial for optimal patient outcomes.

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