| Literature DB >> 35273036 |
Doriana Landi1, Alfonso Grimaldi1, Francesca Bovis1, Marta Ponzano1, Roberta Fantozzi1, Fabio Buttari1, Elisabetta Signoriello1, Giacomo Lus1, Matteo Lucchini1, Massimiliano Mirabella1, Maria Cellerino1, Matilde Inglese1, Gaia Cola1, Carolina Gabri Nicoletti1, Giorgia Mataluni1, Diego Centonze1, Girolama Alessandra Marfia1.
Abstract
BACKGROUND AND OBJECTIVES: To investigate the longitudinal dynamic of lymphocyte subsets during treatment with ocrelizumab (OCR) in patients with multiple sclerosis (PwMS).Entities:
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Year: 2022 PMID: 35273036 PMCID: PMC9005049 DOI: 10.1212/NXI.0000000000001157
Source DB: PubMed Journal: Neurol Neuroimmunol Neuroinflamm ISSN: 2332-7812
Baseline Demographic and Clinical Characteristics of the Patients
Figure 1Mean Baseline Lymphocyte Count in the Whole Cohort
Mean count of total (A), CD3+ (B), CD4+ (C), CD8+ (D), lymphocyte subsets in the whole cohort at baseline (0), 6 months, and 12 months after OCR beginning. OCR = ocrelizumab.
Mean Lymphocyte Count for Each Group and Time Point
Figure 2Mean Lymphocyte Subset Count During Follow-up in the 3 Groups
Mean count of total (A), CD3+ (B), CD4+ (C), CD8+ (D), lymphocyte subset divided by group (blue naive, red FTY, and green other) at the each time point; after adjustment for baseline values, p for time*group interaction is not significant for all the subsets. The number of patients for which the lymphocyte count was available at each time point is indicated below each panel. OCR = ocrelizumab.
Figure 3Mean CD20+ Count at Baseline and During Follow-up in the 3 Groups
Mean count of CD20+ (A) lymphocyte subset in the whole cohort at baseline (0), 6 months, and 12 months after OCR beginning and divided by group (blue naive, red FTY, and green other) at each time point (B). The number of patients for which the lymphocyte count was available at each time point is indicated below panel B. OCR = ocrelizumab.
Rate of Lymphopenia, Absolute Numbers, and Percentages; p values for χ2 Test (or Fisher Exact) (Group Comparison at Single Time Point)
Multivariate Age-Adjusted Logistic Regression Models for Groups