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Area of Science:

  • Neurology
  • Immunology
  • Clinical Medicine

Background:

  • Multiple sclerosis (MS) is a complex neurological disorder with variable clinical progression.
  • Predicting disability worsening in MS is challenging due to disease heterogeneity.
  • Effective management and treatment decisions require understanding prognostic factors.

Purpose of the Study:

  • To review established and emerging predictors of disability worsening in multiple sclerosis.
  • To discuss clinical, imaging, and biomarker factors influencing MS progression.
  • To explore the impact of early treatment strategies on MS disability accumulation.

Main Methods:

  • Literature review of established and emerging predictors of disability worsening in MS.
  • Analysis of clinical, imaging, and biomarker data associated with MS progression.
  • Evaluation of recent observational studies on early-intensive therapy in MS.

Main Results:

  • Clinical factors (age, sex, smoking, obesity, comorbidities) predict MS disability.
  • Imaging features (brain/spinal cord atrophy, lesion load, OCT) indicate worsening.
  • Neurofilament light chain (NfL) shows promise as a blood biomarker for MS progression.
  • Early-intensive therapy may decrease disability accumulation compared to escalated treatment.

Conclusions:

  • Identifying predictors of MS disability progression aids patient counseling and treatment.
  • A combination of clinical, imaging, and biomarker data offers a comprehensive view of MS prognosis.
  • Early intervention with intensive therapies warrants further investigation in randomized controlled trials.