← Back
NeuroTrials.ai
Neurology Clinical Trial Database

Comparative Efficacy of DMT in NMOSD

Comparative Efficacy of DMT in NMOSD

Year of Publication: 2026

Journal: Neurology Neuroimmunology & Neuroinflammation


Clinical Question

How do complement inhibitors, anti-CD20, and other DMTs compare in preventing NMOSD relapses in the real world?

Bottom Line

C5 inhibitors were most effective (HR 0.12–0.19 vs rituximab), while azathioprine (HR 2.33) and MMF (HR 1.75) performed significantly worse. First head-to-head real-world comparison of all major NMOSD therapies.

Major Points

  • First real-world head-to-head comparison of all major NMOSD therapies: C5 inhibitors, inebilizumab, satralizumab, tocilizumab, rituximab, azathioprine, MMF.
  • Clear efficacy hierarchy: C5 inhibitors (HR 0.12–0.19) > inebilizumab (HR 0.22) ≈ satralizumab (HR 0.19) > rituximab (reference) ≈ tocilizumab >> azathioprine (HR 2.33) > MMF (HR 1.75).
  • Traditional immunosuppressants (azathioprine, MMF) performed significantly WORSE than rituximab — should be considered suboptimal.
  • 176 AQP4-seropositive patients with median 9-year follow-up provides substantial real-world evidence.
  • Results consistent with Phase 3 RCT data for individual agents, strengthening confidence in the findings.
  • Supports early use of targeted biologics over traditional immunosuppressants in AQP4+ NMOSD.

Design

Study Type: Retrospective multicenter cohort study

Sample Size: 176


Criticisms

  • Retrospective observational design — channeling bias and indication bias are inherent limitations
  • Patients on C5 inhibitors likely had more severe/refractory disease (yet still had best outcomes), which may actually underestimate efficacy
  • Treatment durations varied — some drugs had shorter exposure periods
  • AQP4+ only — results may not apply to seronegative NMOSD
  • Exact patient numbers per DMT not specified in abstract — some treatment groups may be small

Based on: Comparative Efficacy of DMT in NMOSD (Neurology Neuroimmunology & Neuroinflammation, 2026)

Content summarized and formatted by NeuroTrials.ai.