Replication of the 2023 radiologically isolated syndrome criteria in a multi-centre cohort

Radiologically isolated syndrome (RIS) represents a pivotal stage for identifying individuals at high risk of transitioning into multiple sclerosis (MS). Early therapy initiation reduces the risk of conversion. The 2023-RIS criteria were proposed to identify presymptomatic individuals earlier. We aimed to replicate the diagnostic value of the 2023-RIS criteria in an independent cohort. In this retrospective cohort study, individuals diagnosed with RIS and longitudinally followed in three centres were stratified by the 2009- and 2023-RIS criteria. We conducted comparative analyses, including survival, hazard ratio and performance evaluations. Among <i>n</i> = 136 individuals, 27.2% converted to MS between 2009 and 2024 (observation time 55.4 months). We confirmed improved identification of individuals at risk using the 2023-RIS criteria (HR 4.30, <i>P</i> < 0.05; HR 4.71, <i>P</i> < 0.05) compared to 2009-RIS criteria (HR 1.32, <i>P</i> = 0.4; HR 1.43; <i>P</i> = 0.3) in 5- and 10-year intervals, respectively. 2023-RIS criteria demonstrated high sensitivity (94%) and negative predictive value (94%) but low specificity (29%). Adding CSF immunoglobulin G and M indices as an additional parameter following RIS diagnosis enhanced risk prediction specificity. We confirm the high sensitivity and predictive value of the 2023-RIS criteria for identifying individuals at risk of conversion to MS and suggest adding immunoglobulin indices to further improve specificity.

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Journal
Brain Communications
Published
2025-01-01
DOI
https://doi.org/10.1093/braincomms/fcaf323
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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article
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article

Replication of the 2023 radiologically isolated syndrome criteria in a multi-centre cohort

Friederike Held, Jan S. Kirschke, Achim Berthele, Hayrettin Tumani et al.
1 links
Brain Communications
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
article

Replication of the 2023 radiologically isolated syndrome criteria in a multi-centre cohort

Friederike Held, Jan S. Kirschke, Achim Berthele, Hayrettin Tumani, Bernhard Hemmer, Mark Mühlau, Joachim Havla, Cornelius Berberich, Christiane Gasperi, Paula Uibel, Jonas Schaller-Nagengast, Vasil Mitrevski, Leo Hutter
article en

Abstract

Radiologically isolated syndrome (RIS) represents a pivotal stage for identifying individuals at high risk of transitioning into multiple sclerosis (MS). Early therapy initiation reduces the risk of conversion. The 2023-RIS criteria were proposed to identify presymptomatic individuals earlier. We aimed to replicate the diagnostic value of the 2023-RIS criteria in an independent cohort. In this retrospective cohort study, individuals diagnosed with RIS and longitudinally followed in three centres were stratified by the 2009- and 2023-RIS criteria. We conducted comparative analyses, including survival, hazard ratio and performance evaluations. Among <i>n</i> = 136 individuals, 27.2% converted to MS between 2009 and 2024 (observation time 55.4 months). We confirmed improved identification of individuals at risk using the 2023-RIS criteria (HR 4.30, <i>P</i> < 0.05; HR 4.71, <i>P</i> < 0.05) compared to 2009-RIS criteria (HR 1.32, <i>P</i> = 0.4; HR 1.43; <i>P</i> = 0.3) in 5- and 10-year intervals, respectively. 2023-RIS criteria demonstrated high sensitivity (94%) and negative predictive value (94%) but low specificity (29%). Adding CSF immunoglobulin G and M indices as an additional parameter following RIS diagnosis enhanced risk prediction specificity. We confirm the high sensitivity and predictive value of the 2023-RIS criteria for identifying individuals at risk of conversion to MS and suggest adding immunoglobulin indices to further improve specificity.

Brain CommunicationsVol. 7(5)
Munich Cluster for Systems Neurology (DE), Institute of Neuroimmunology of the Slovak Academy of Sciences (SK), University Hospital Ulm (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Amgen, Bristol-Myers Squibb, GlaxoSmithKline, Sanofi, Biogen, Teva Pharmaceutical Industries, Alexion Pharmaceuticals, Celgene, Guthy-Jackson Charitable Foundation, European Commission, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Friedrich-Baur-Stiftung, Horizon 2020, Cilag
Openalex Percentile: Top 67%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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