Personalizing ocrelizumab treatment in Multiple Sclerosis: What can we learn from Sars-Cov2 pandemic?


Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
15 08 2021
Historique:
received: 18 03 2021
revised: 25 04 2021
accepted: 17 05 2021
pubmed: 28 5 2021
medline: 5 8 2021
entrez: 27 5 2021
Statut: ppublish

Résumé

During SARS-CoV-2 pandemic, we adopted a personalized delayed protocol for ocrelizumab infusions in Relapsing Remitting Multiple Sclerosis (RRMS) patients according to the national recommendations. Out of the 83 RRMS patients whose infusion was scheduled between March and December 2020, 56 patients experienced a delay in treatment based on MS severity and SARS-CoV2 infection risk profile. In most cases, the immunophenotype was performed monthly to guide re-infusions. Specifically, B CD19 + cells repopulation rate was monitored. Mean infusion delay was 103,1 [SD 40,6] days, and none of the patients presented relapses or active disease at MRI at the end of the observation period. Treatment naïve status and the interval between immunophenotyping and the last ocrelizumab infusion were predictors of earlier B CD19 + cells repopulation. Two patients contracted SARS-CoV2 with complete recovery. Definitive data about Sars-Cov2 vaccine efficacy in patients treated with ocrelizumab are still lacking. Our findings suggest that a personalized treatment with a delayed infusion schedule does not compromise ocrelizumab short-term efficacy and may help to lengthen the therapeutic window for an effective response to SARS-CoV2 vaccine.

Identifiants

pubmed: 34044238
pii: S0022-510X(21)00195-7
doi: 10.1016/j.jns.2021.117501
pmc: PMC8133824
pii:
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
RNA, Viral 0
ocrelizumab A10SJL62JY

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117501

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Références

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Auteurs

F Tazza (F)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.

C Lapucci (C)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Laboratory of Experimental Neurosciences, Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

M Cellerino (M)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.

G Boffa (G)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.

G Novi (G)

Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

I Poire (I)

Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

E Mancuso (E)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.

N Bruschi (N)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.

E Sbragia (E)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.

A Laroni (A)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

E Capello (E)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

M Inglese (M)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; Ospedale Policlinico San Martino IRCCS, Genoa, Italy. Electronic address: m.inglese@unige.it.

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Classifications MeSH