4.7 Article

Anti-CD20 immunotherapy in progressive multiple sclerosis: 2-year real-world follow-up of 108 patients

期刊

JOURNAL OF NEUROLOGY
卷 269, 期 9, 页码 4846-4852

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00415-022-11124-9

关键词

Antigens; CD20; Rituximab; Multiple sclerosis; Multiple sclerosis; chronic progressive; Immunotherapy

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This study describes a cohort of progressive MS patients treated with ocrelizumab or rituximab in a real-world setting. The results confirm the tolerability of these treatments in a real-world setting and suggest that standardized clinical assessments could improve early detection of worsening patients.
Background Anti-CD20 monoclonal antibodies are recently introduced treatments in progressive MS and real-world data are lacking. Objective The aim of this study is to describe a cohort of progressive MS patients treated with ocrelizumab or rituximab in a real-world setting. Methods This monocentric prospective cohort study at the University Hospital of Strasbourg included patients with primary progressive or secondary progressive MS that started treatment with anti-CD20 antibodies before June 2019. Every six months, patients were assessed using the following standardized clinical evaluations: Expanded Disability Status Scale (EDSS), Timed 25-Foot Walk (T25FW), 9-Hole Peg Test (9-HPT) and Symbol Digit Modalities Test (SDMT). The primary analysis considered EDSS progression (of at least 1.0 if EDSS <= 5.5 and at least 0.5 if EDSS >= 6.0). Results We included 108 patients, with a median age upon inclusion of 53 years [48.0-58.0]. 72% were classified as primary progressive forms. Median baseline EDSS was 6.0 [4.0-6.5]. EDSS was significantly correlated with T25FW, SDMT and 9-HPT. Following 2 years of treatment, 38.9% of patients presented EDSS progression compared to baseline. Conclusion Our large cohort confirms tolerance of these treatments in a real-world setting. Standardized clinical assessments could improve detection of deteriorating patients. Further studies are needed to establish predictive factors.

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