Literature DB >> 33229453

Pharmacovigilance during treatment of multiple sclerosis: early recognition of CNS complications.

Martijn T Wijburg1,2, Clemens Warnke3,4, Christopher McGuigan5, Igor J Koralnik6, Frederik Barkhof2,7, Joep Killestein8, Mike P Wattjes2,9.   

Abstract

An increasing number of highly effective disease-modifying therapies for people with multiple sclerosis (MS) have recently gained marketing approval. While the beneficial effects of these drugs in terms of clinical and imaging outcome measures is welcomed, these therapeutics are associated with substance-specific or group-specific adverse events that include severe and fatal complications. These adverse events comprise both infectious and non-infectious complications that can occur within, or outside of the central nervous system (CNS). Awareness and risk assessment strategies thus require interdisciplinary management, and robust clinical and paraclinical surveillance strategies. In this review, we discuss the current role of MRI in safety monitoring during pharmacovigilance of patients treated with (selective) immune suppressive therapies for MS. MRI, particularly brain MRI, has a pivotal role in the early diagnosis of CNS complications that potentially are severely debilitating and may even be lethal. Early recognition of such CNS complications may improve functional outcome and survival, and thus knowledge on MRI features of treatment-associated complications is of paramount importance to MS clinicians, but also of relevance to general neurologists and radiologists. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  MRI; multiple sclerosis

Year:  2020        PMID: 33229453     DOI: 10.1136/jnnp-2020-324534

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  1 in total

1.  Disseminated nocardiosis after cladribine treatment for relapsing remitting multiple sclerosis: a case report.

Authors:  Cristian Deana; Daniele Bagatto; Alessandra Battezzi; Davide Pecori; Simone Lorenzut; Francesco Tuniz
Journal:  J Neurol       Date:  2022-03-30       Impact factor: 6.682

  1 in total

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