Differences and similarities in the evolution of morphologic brain abnormalities between paediatric and adult-onset multiple sclerosis

Mult Scler. 2013 Feb;19(2):167-72. doi: 10.1177/1352458512448107. Epub 2012 Jun 19.

Abstract

Background: Paediatric-onset multiple sclerosis (pMS) is multiple sclerosis (MS) occurring before the age of 18 years and may present and develop differently from adult-onset MS (aMS). Whether there are also differences regarding the accrual of brain changes is largely unknown.

Methods: We compared the evolution of the T2- and T1-lesion load (LL), the black hole ratio (BHR), and annualised brain volume change (aBVC) between 21 pMS patients (age at onset: 14.4±2.3 years) and 21 aMS patients (age at onset: 29.4±6.5 years) matched for disease duration (pMS: 1.0±1.8 years; aMS: 1.6±1.7 years, p=0.27). Follow-up was for 4.2±3.7 years in pMS and 3.1±0.6 years in aMS. Clinical comparisons included the course of disability assessed with the Expanded Disability Status Scale (EDSS) score and annualised relapse rate (ARR).

Results: At baseline, pMS and aMS had similar EDSS, T1-LL, BHR, whereas T2-LL was higher in aMS (aMS: 9.2±11.6 ccm; pMS: 4.1±6.2 ccm, p=0.02). The change of T2-LL and T1-LL during the observation period was similar in both groups. At follow-up, disability was lower in pMS (EDSS score in pMS: 0.9±0.9; aMS: 1.7±1.3, p=0.04), despite a significantly higher accrual of destructive brain lesions (BHR in pMS: 23.7±23.7%; aMS: 5.9±4.0%, p=0.02) and a similar rate of brain volume loss.

Conclusion: Our observation of a morphologically more aggressive disease evolution paralleled by less disability in pMS than in aMS (defined using EDSS) suggests a higher compensatory capacity in pMS. This fact may obscure the need for treatment of pMS patients with disease modifying treatments (DMTs) based solely on clinical observation.

MeSH terms

  • Adolescent
  • Adult
  • Age of Onset
  • Biomarkers
  • Brain / pathology*
  • Cohort Studies
  • Data Interpretation, Statistical
  • Disability Evaluation
  • Disease Progression
  • Female
  • Forecasting
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Male
  • Multiple Sclerosis / pathology*
  • Recurrence
  • Regression Analysis
  • Young Adult

Substances

  • Biomarkers