Published in

Lippincott, Williams & Wilkins, Neurology, Neuroimmunology and Neuroinflammation, 3(9), p. e1157, 2022

DOI: 10.1212/nxi.0000000000001157

Links

Tools

Export citation

Search in Google Scholar

Influence of Previous Disease-Modifying Drug Exposure on T-Lymphocyte Dynamic in Patients With Multiple Sclerosis Treated With Ocrelizumab

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Background and ObjectivesTo investigate the longitudinal dynamic of lymphocyte subsets during treatment with ocrelizumab (OCR) in patients with multiple sclerosis (PwMS).MethodsA multicenter retrospective study was conducted in 161 PwMS starting treatment with OCR grouped in naive (naive, n = 40), switching from fingolimod (FTY, n = 52), and switching from other immunomodulating drugs (other, n = 69). Mean lymphocyte subset (total, CD3+, CD4+, CD8+, CD20+, and natural killer) counts were analyzed at baseline, 6 months, and 12 months. Rate of lymphocytopenia for each subset was calculated at all time points in all groups.ResultsMean total, CD3+, and CD4+ counts were significantly different among groups (p < 0.001) at all time points, whereas CD8+ and CD20+ counts only at baseline (p = 0.0157; p < 0.001), consistently lower in FTY. After adjustment for baseline values, interaction time*group was not statistically significant (p > 0.05 for each subset). The odds of lymphopenia were significantly higher among FTY patients compared with naive for total, CD3+, CD4+, and CD20+ cells at baseline, for total and CD4+ cells at the sixth month, and for total cells at the 12th month.DiscussionOCR per se exerts a modest depleting effect on T cells that seems rather due to a carryover phenomenon of previous therapies, particularly FTY. These data may help in the overall evaluation of the risk/benefit profile of treatment sequencing.