Predictors of progression in primary progressive multiple sclerosis in a large Turkish cohort

Mult Scler Relat Disord. 2020 Feb:38:101520. doi: 10.1016/j.msard.2019.101520. Epub 2019 Nov 12.

Abstract

Background: Studies on the predictors of progression for primary progressive multiple sclerosis (PPMS) are limited and there is no information in the literature for populations outside Europe and North America. In this study, we aimed to identify predictors of progression in a large Turkish PPMS cohort.

Methods: We analyzed a cohort of 157 PPMS patients to investigate the effect of age of onset, gender, onset symptoms, presence or absence of relapses, and baseline gadolinium-enhancing lesions on the rate of progression to EDSS6 by using Kaplan-Meier analysis and multivariate Cox regression.

Results: Older age of onset and presence of spinal motor symptoms at onset were associated with a shorter time to EDSS6 and presence of supratentorial signs at onset was associated with a longer time to EDSS6 according to Kaplan-Meier analysis. These factors remained significant after multivariate Cox-regression analysis. Clinical relapses were present in 22.3% and gadolinium-enhancing lesions on baseline MRI were present in 28% of patients, but these factors were not predictive of time to EDSS6.

Conclusion: We identified age of onset and symptom at onset as predictors of progression in Turkish PPMS patients. Presence of clinical relapses or baseline gadolinium-enhancing lesions did not affect PPMS progression rate.

Keywords: Disease activity; Magnetic resonance imaging; Natural history; Primary progressive multiple sclerosis; Prognostic factors.

MeSH terms

  • Adult
  • Age of Onset
  • Disease Progression*
  • Female
  • Follow-Up Studies
  • Humans
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Multiple Sclerosis, Chronic Progressive* / diagnostic imaging
  • Multiple Sclerosis, Chronic Progressive* / epidemiology
  • Multiple Sclerosis, Chronic Progressive* / pathology
  • Multiple Sclerosis, Chronic Progressive* / physiopathology
  • Prognosis
  • Proportional Hazards Models
  • Severity of Illness Index*
  • Turkey / epidemiology
  • Young Adult