Retrospective cohort analysis confirms improved risk identification for multiple sclerosis using 2023-RIS criteria, suggesting CSF indices enhance specificity.
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 centers were stratified by the 2009- and 2023-RIS criteria. We conducted comparative analyses, including survival, hazard ratio, and performance evaluations. Among n=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, P<0.05; HR 4.71, P<0.05) compared to 2009-RIS criteria (HR 1.32, P=0.4; HR 1.43; P=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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Held et al. (2025) studied this question.
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