Predictive factors for multiple sclerosis in patients with clinically isolated spinal cord syndrome

Aurélie Ruet1, Mathilde S A Deloire, Jean-Christophe Ouallet

  • 1Services de Neurologie et de Neuro-imagerie, Hôpital Pellegrin, CHU de Bordeaux, 33076, Bordeaux cedex, France.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|November 13, 2010
PubMed
Abstract

Insights

Predictors of multiple sclerosis (MS) conversion in clinically isolated syndrome patients include age, inflammatory cerebrospinal fluid (CSF), and periventricular lesions on MRI. These factors offer better accuracy than current diagnostic criteria.

Area of Science:

  • Neurology
  • Neuroimmunology
  • Clinical Neuroscience

Background:

  • Clinically isolated syndrome (CIS) is an initial neurological episode that may herald multiple sclerosis (MS).
  • Accurate prediction of MS conversion is crucial for timely treatment and management.

Purpose of the Study:

  • To identify predictors of conversion to definite multiple sclerosis (MS) in patients presenting with a clinically isolated syndrome affecting the spinal cord.
  • To compare the predictive accuracy of identified factors with the revised McDonald criteria.

Main Methods:

  • A cohort of 114 patients with acute partial myelitis and a spinal cord lesion on MRI were evaluated.
  • Clinical, magnetic resonance imaging (MRI), and cerebrospinal fluid (CSF) variables were assessed for predictive value.
  • Patients were followed for conversion to clinically definite MS, excluding other causes of cord syndromes.

Main Results:

  • 86% of patients converted to MS within 4.0 ± 1.9 years; 67 had a second clinical episode.
  • Predictive factors included age, bladder involvement, multiple MRI lesions (cord and brain), and intrathecal IgG synthesis.
  • Multivariate analysis identified age ≤ 40 years, inflammatory CSF, and ≥ 3 periventricular brain lesions as key predictors.

Conclusions:

  • Age, periventricular lesions, and inflammatory CSF at baseline are strong predictors of MS conversion.
  • These three factors demonstrated superior accuracy in predicting MS conversion compared to the revised McDonald criteria.