Infection incidence and management in multiple sclerosis patients after initiating disease-modifying therapy

Elizabeth C S Swart1, Douglas Mager2, Natasha Parekh3

  • 1UPMC Centers for High-Value Health Care and Value-Based Pharmacy Initiatives, UPMC Health Plan, Pittsburgh, PA, USA.

Insights

Disease-modifying therapies for multiple sclerosis (MS) are costly and can cause infections. This study found similar infection rates across oral, infused, and injectable MS medications, suggesting careful monitoring for all routes.

Area of Science:

  • Neurology
  • Pharmacology
  • Infectious Disease

Background:

  • Disease-modifying therapies (DMTs) for multiple sclerosis (MS) are crucial but expensive and associated with infection risks.
  • This study analyzed infection rates and antimicrobial use in 3,204 MS patients over 24 months based on medication route.

Discussion:

  • Infection rates were comparable across oral (38.7%), infused (37.3%), and injectable (36.8%) MS medications.
  • Antimicrobial prescribing rates for infections were high across all routes: 86.5% (oral), 84.3% (infused), and 85.5% (injectable).
  • Specific bacterial and herpes zoster infection rates, along with antimicrobial use, varied among new users depending on the medication's administration route.

Key Insights:

  • No significant difference in overall infection rates was observed between oral, infused, and injectable multiple sclerosis therapies.
  • Variations in specific infection types (bacterial, herpes zoster) and subsequent antimicrobial use were noted among new medication users based on administration route.
  • Pharmacovigilance data can aid shared decision-making when selecting multiple sclerosis treatments.

Outlook:

  • Further research into route-specific infection profiles and antimicrobial stewardship is warranted.
  • These findings can help clinicians and patients weigh the risks and benefits of different multiple sclerosis medication administration routes.
  • Enhanced pharmacovigilance can improve patient safety and optimize treatment selection in multiple sclerosis management.

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