Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

BACKGROUND: Predicting relapses in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) when disability is relapse-dependent is crucial to guide treatment decisions including whether to treat from onset. MOG-AR, a relapse risk score, was recently developed in a Chinese cohort from disease onset. This study aimed to externally validate the MOG-AR score. METHODS: MOGAD patients seen through the Oxford National NMO Service with ≥ 1-year disease duration and available data for MOG-AR score calculation (variables of age, sex, onset attack phenotype, treatment) were included. MOG-AR score and grade were calculated. Relapse occurrence at 3 years from onset was used as the primary outcome. MOG-AR performance was assessed by measures of discrimination and calibration. RESULTS: We included 284 MOGAD patients with a 4.7-year median disease duration. Relapse occurred in 38% within 3 years of onset. Median MOG-AR score and grade were 11 (IQR 10-12) and 3 (3-3) for those who relapsed and 9 (8-11) and 3 (2-3) for those who did not. Observed proportion with relapse was 27%, 26%, 41%, and 53% for grades 1, 2, 3, and 4, respectively. Discrimination assessment by grade showed an area under the receiver operating characteristic curve of 0.58 (95% CI 0.52-0.63). Calibration assessment was consistent with overestimation of relapse probabilities. CONCLUSION: In a UK-MOGAD cohort, MOG-AR score showed suboptimal performance in predicting relapse over a 3-year period from onset. Further work to find clinically accessible predictive biomarkers and tools for a relapsing course would facilitate better treatment strategies near disease onset.

More information Original publication

DOI

10.1007/s00415-026-13754-9

Type

Journal article

Publication Date

2026-03-23T00:00:00+00:00

Volume

273

Keywords

MOGAD, Myelin oligodendrocyte glycoprotein antibody-associated disease, Prediction, Relapse, Risk score, Validation, Humans, Male, Female, Myelin-Oligodendrocyte Glycoprotein, Adult, Recurrence, Middle Aged, Autoantibodies, Young Adult, Neuromyelitis Optica, Severity of Illness Index, Cohort Studies, Aged, Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease