Modelling the natural history of primary progressive multiple sclerosis

Katharine E. Harding, Mark Wardle, Perry Moore, Valentina Tomassini, Trevor Pickersgill, Yoav Ben-Shlomo, Neil P. Robertson

Research output: Contribution to journalArticlepeer-review


Background: A minority of patients with multiple sclerosis (MS) have primary progressive disease (PPMS). Treatment options are currently limited, but as prospects for interventional studies become more realistic, understanding contemporary outcome data will be key to successful trial design. Methods: 234 PPMS patients were identified from a population-based cohort of 2131 (11.0%) and mean follow-up of 13.1 years. Time to established disability endpoints was compared with patients with relapsing-onset MS (ROMS) using survival analysis, and Cox regression employed to explore factors contributing to disability accumulation. Results: were used to create predictive power models for clinical trials in PPMS. Results Time to fixed disability milestones was shorter than in ROMS (Expanded Disability Status Scale (EDSS) 4.0:8.1 vs 17.1 years, p

Original languageEnglish
Article numberA6
Pages (from-to)13-19
Number of pages7
JournalJournal of Neurology, Neurosurgery and Psychiatry
Issue number1
Publication statusPublished - Jan 1 2015

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health
  • Surgery
  • Arts and Humanities (miscellaneous)
  • Medicine(all)


Dive into the research topics of 'Modelling the natural history of primary progressive multiple sclerosis'. Together they form a unique fingerprint.

Cite this