Drug-induced progressive multifocal leukoencephalopathy: Lessons learned from contrasting natalizumab and rituximab

N S Vermeer1,2, S M J M Straus2,3, A K Mantel-Teeuwisse1

  • 1Utrecht Institute for Pharmaceutical Sciences (UIPS), Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands.

Insights

Reporting patterns for progressive multifocal leukoencephalopathy (PML) differ between natalizumab and rituximab. Natalizumab reports were more complete and timely, highlighting caution needed when comparing drug safety profiles from spontaneous reports.

Area of Science:

  • Pharmacovigilance
  • Neuroimmunology
  • Drug Safety

Background:

  • Progressive multifocal leukoencephalopathy (PML) is a serious adverse drug reaction (ADR) associated with immunomodulatory biological therapies.
  • The identification of PML risk has occurred at different stages in the lifecycle of various biologicals, impacting reporting dynamics.

Purpose of the Study:

  • To contrast the reporting patterns of PML for natalizumab and rituximab, two biologicals with distinct timelines for risk identification.
  • To evaluate the completeness and timeliness of PML adverse event reports for these two agents.

Main Methods:

  • Comparative analysis of spontaneous adverse event reports for PML associated with natalizumab and rituximab.
  • Examination of report completeness, timeliness, and clinical characteristics (age, gender, indication, time to event, fatality).

Main Results:

  • PML reports for natalizumab were found to be more complete and received sooner after occurrence compared to rituximab.
  • Significant differences in clinical characteristics of PML cases were observed, reflecting diverse contexts of use for both drugs.
  • Variability in reporting patterns and heterogeneity of PML cases pose challenges for direct safety comparisons.

Conclusions:

  • Spontaneous adverse event reports require cautious interpretation for quantifying and comparing drug safety profiles over time.
  • Lumping uncharacterized PML reports without considering reporting patterns and case heterogeneity can lead to biased comparisons and flawed safety conclusions.

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