TRUE-MOGAD Score

OBJECTIVES: Myelin oligodendrocyte glycoprotein (MOG) antibodies (MOG-IgG) are a biomarker of MOG antibody-associated disease (MOGAD). However, false positives remain common. We aimed to develop a scoring tool to guide interpretation. METHODS: Observational study of MOG-IgG-positive patients at Mayo Clinic (May 2022-December 2024). The primary outcome was fulfillment of 2023-MOGAD diagnostic criteria. Predictive variables were identified using logistic regression, and scoring systems were derived and evaluated using receiver operating characteristic analysis. Internal (n = 92) and external (Johns Hopkins, n = 117) validation was performed. RESULTS: isappearance ≥1 T2-lesion [+1 point]. The score showed an area under the curve (AUC) of 0.983 (95%CI 0.961-1.000). The score was validated internally (AUC = 0.976) and externally (AUC = 0.977). DISCUSSION: The TRUE-MOGAD score is a practical tool that accurately identifies MOGAD among positive MOG-IgG test results and may guide diagnostic and therapeutic decisions in clinical practice. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that a TRUE-MOGAD score of 2 or more accurately predicts MOGAD in patients with MOG-IgG titers of 1:20 or higher using the assay described.

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Publication Details

Journal
Neurology Neuroimmunology & Neuroinflammation
Published
2026-04-01
DOI
https://doi.org/10.1212/nxi.0000000000200563
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
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article

TRUE-MOGAD Score

Laura Cacciaguerra, Nisa Vorasoot, Smathorn Thakolwiboon, Angeliki Filippatou et al.
Neurology Neuroimmunology & Neuroinflammation
Multiple Sclerosis Research Studies
article

TRUE-MOGAD Score

Laura Cacciaguerra, Nisa Vorasoot, Smathorn Thakolwiboon, Angeliki Filippatou, Yana Said, Elia Sechi, Moritz Niederschweiberer, Stephanie B. Syc-Mazurek, Jessica A. Sagen, John J. Chen, Andreu Vilaseca, Sean J. Pittock, Eoin P. Flanagan, Elias S. Sotirchos, Sebastian A. Lopez-Chiriboga, Jan-Mendelt Tillema
article en

Abstract

OBJECTIVES: Myelin oligodendrocyte glycoprotein (MOG) antibodies (MOG-IgG) are a biomarker of MOG antibody-associated disease (MOGAD). However, false positives remain common. We aimed to develop a scoring tool to guide interpretation. METHODS: Observational study of MOG-IgG-positive patients at Mayo Clinic (May 2022-December 2024). The primary outcome was fulfillment of 2023-MOGAD diagnostic criteria. Predictive variables were identified using logistic regression, and scoring systems were derived and evaluated using receiver operating characteristic analysis. Internal (n = 92) and external (Johns Hopkins, n = 117) validation was performed. RESULTS: isappearance ≥1 T2-lesion [+1 point]. The score showed an area under the curve (AUC) of 0.983 (95%CI 0.961-1.000). The score was validated internally (AUC = 0.976) and externally (AUC = 0.977). DISCUSSION: The TRUE-MOGAD score is a practical tool that accurately identifies MOGAD among positive MOG-IgG test results and may guide diagnostic and therapeutic decisions in clinical practice. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that a TRUE-MOGAD score of 2 or more accurately predicts MOGAD in patients with MOG-IgG titers of 1:20 or higher using the assay described.

Neurology Neuroimmunology & NeuroinflammationVol. 13(3)
Wheaton Franciscan Healthcare (US), Mayo Clinic (US), Johns Hopkins University (US), University of Sassari (IT), Khon Kaen University (TH), Johns Hopkins Medicine (US), WinnMed (US), Mayo Clinic Health System (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 34%
Multiple Sclerosis Research Studies
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