Clinical Prognostic Factors Associated With Relapsing Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease
Résumé fourni par la source
BACKGROUND AND OBJECTIVES: It is currently difficult to accurately predict who, after the index event of myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), will develop relapsing disease (R-MOGAD). Several clinical features have been reported as possibly predictive, but none have been validated in clinical practice. We used a prospectively designed analysis to assess a combined model of reported clinical prognosticators for developing R-MOGAD in 101 patients with MOGAD (86% with onset in adulthood) from 3 UK specialist centers. METHODS: A multivariable binary logistic regression model using variables identified from a scoping literature review was fitted in a retrospective clinical data set of patients with MOGAD (Nottingham MS & Neuroinflammation Centre [NUH]), with validation analysis in 2 independent data sets (Walton NMOSD Specialist Centre [WSC]; Imperial College London [ICL]). Secondary analysis investigated time to first relapse using Cox proportional hazards on the combined cohort. Results from the significant variables from the initial analysis were further examined in a meta-analysis of relevant literature studies. RESULTS: = 0.024). Median follow-up for monophasic patients was 42 months (IQR: 17.5-64.5). DISCUSSION: Prednisolone ≥10 mg for ≥ 3 months after the index event was associated with a lower likelihood of relapsing MOGAD. This association was supported in first external cohort and directionally consistent but inconclusive in a second, smaller cohort. Further prospective multicenter studies are required to assess the reproducibility and clinical utility of this association.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Clinical Prognostic Factors Associated With Relapsing Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease
- Date Crossref
- 01/11/2026
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
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