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. 2019 Sep 23;10:1008. doi: 10.3389/fneur.2019.01008

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Copyright © 2019 Gil-Perotin, Castillo-Villalba, Cubas-Nuñez, Gasque, Hervas, Gomez-Mateu, Alcala, Perez-Miralles, Gascon, Dominguez and Casanova.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Probability of conversion to SPMS according to biomarker profile. Patients were cathegorized according to NFL and CHI3L1 median values (calculated in the RRMS cohort without disease activity) into four groups: Group 1: both NFL and CHI3L1 below median value; Group 2: high NFL; Group 3: High CHI3L1; Group 4: NFL and CHI3L1 above median values. Patients included in group 4 had more probability to be diagnosed of SPMS during follow-up than patients pertaining to the other groups (log rank p = 0.02). SPMS: secondary progressive multiple sclerosis.