Cargando…
Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome
OBJECTIVE: To determine the best method to measure intrathecal immunoglobulin (Ig) M synthesis (ITMS), a biomarker of worse prognosis in multiple sclerosis (MS). We compared the ability for predicting a poor evolution of 4 methods assessing ITMS (IgM oligoclonal bands [OCMBs], lipid-specific OCMBs [...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299514/ https://www.ncbi.nlm.nih.gov/pubmed/34301819 http://dx.doi.org/10.1212/NXI.0000000000001047 |
_version_ | 1783726286208761856 |
---|---|
author | Monreal, Enric Sainz de la Maza, Susana Costa-Frossard, Lucienne Walo-Delgado, Paulette Zamora, Javier Fernández-Velasco, José Ignacio Villarrubia, Noelia Espiño, Mercedes Lourido, Daniel Lapuente, Paloma Toboso, Inmaculada Álvarez-Cermeño, José Carlos Masjuan, Jaime Villar, Luisa María |
author_facet | Monreal, Enric Sainz de la Maza, Susana Costa-Frossard, Lucienne Walo-Delgado, Paulette Zamora, Javier Fernández-Velasco, José Ignacio Villarrubia, Noelia Espiño, Mercedes Lourido, Daniel Lapuente, Paloma Toboso, Inmaculada Álvarez-Cermeño, José Carlos Masjuan, Jaime Villar, Luisa María |
author_sort | Monreal, Enric |
collection | PubMed |
description | OBJECTIVE: To determine the best method to measure intrathecal immunoglobulin (Ig) M synthesis (ITMS), a biomarker of worse prognosis in multiple sclerosis (MS). We compared the ability for predicting a poor evolution of 4 methods assessing ITMS (IgM oligoclonal bands [OCMBs], lipid-specific OCMBs [LS-OCMBs], Reibergram, and IgM index) in patients with a clinically isolated syndrome (CIS). METHODS: Prospective study with consecutive patients performed at a referral MS center. We used unadjusted and multivariate Cox regressions for predicting a second relapse, Expanded Disability Status Scale (EDSS) scores of 4 and 6, and development of secondary progressive MS (SPMS). RESULTS: A total of 193 patients were included, with a median (interquartile range) age of 31 (25–38) years and a median follow-up of 12.9 years. Among all methods, only OCMB, LS-OCMB, and Reibergram significantly identified patients at risk of some of the pre-established outcomes, being LS-OCMB the technique with the strongest associations. Adjusted hazard ratio (aHR) of LS-OCMB for predicting a second relapse was 2.50 (95% CI 1.72–3.64, p < 0.001). The risk of reaching EDSS scores of 4 and 6 and SPMS was significantly higher among patients with LS-OCMB (aHR 2.96, 95% CI 1.54–5.71, p = 0.001; aHR 4.96, 95% CI 2.22–11.07, p < 0.001; and aHR 2.31, 95% CI 1.08–4.93, p = 0.03, respectively). CONCLUSIONS: ITMS predicts an aggressive MS at disease onset, especially when detected as LS-OCMB. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that lipid-specific IgM oligoclonal bands can predict progression from CIS to MS and a worse disease course over a follow-up of at least 2 years. |
format | Online Article Text |
id | pubmed-8299514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82995142021-07-23 Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome Monreal, Enric Sainz de la Maza, Susana Costa-Frossard, Lucienne Walo-Delgado, Paulette Zamora, Javier Fernández-Velasco, José Ignacio Villarrubia, Noelia Espiño, Mercedes Lourido, Daniel Lapuente, Paloma Toboso, Inmaculada Álvarez-Cermeño, José Carlos Masjuan, Jaime Villar, Luisa María Neurol Neuroimmunol Neuroinflamm Article OBJECTIVE: To determine the best method to measure intrathecal immunoglobulin (Ig) M synthesis (ITMS), a biomarker of worse prognosis in multiple sclerosis (MS). We compared the ability for predicting a poor evolution of 4 methods assessing ITMS (IgM oligoclonal bands [OCMBs], lipid-specific OCMBs [LS-OCMBs], Reibergram, and IgM index) in patients with a clinically isolated syndrome (CIS). METHODS: Prospective study with consecutive patients performed at a referral MS center. We used unadjusted and multivariate Cox regressions for predicting a second relapse, Expanded Disability Status Scale (EDSS) scores of 4 and 6, and development of secondary progressive MS (SPMS). RESULTS: A total of 193 patients were included, with a median (interquartile range) age of 31 (25–38) years and a median follow-up of 12.9 years. Among all methods, only OCMB, LS-OCMB, and Reibergram significantly identified patients at risk of some of the pre-established outcomes, being LS-OCMB the technique with the strongest associations. Adjusted hazard ratio (aHR) of LS-OCMB for predicting a second relapse was 2.50 (95% CI 1.72–3.64, p < 0.001). The risk of reaching EDSS scores of 4 and 6 and SPMS was significantly higher among patients with LS-OCMB (aHR 2.96, 95% CI 1.54–5.71, p = 0.001; aHR 4.96, 95% CI 2.22–11.07, p < 0.001; and aHR 2.31, 95% CI 1.08–4.93, p = 0.03, respectively). CONCLUSIONS: ITMS predicts an aggressive MS at disease onset, especially when detected as LS-OCMB. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that lipid-specific IgM oligoclonal bands can predict progression from CIS to MS and a worse disease course over a follow-up of at least 2 years. Lippincott Williams & Wilkins 2021-07-22 /pmc/articles/PMC8299514/ /pubmed/34301819 http://dx.doi.org/10.1212/NXI.0000000000001047 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Article Monreal, Enric Sainz de la Maza, Susana Costa-Frossard, Lucienne Walo-Delgado, Paulette Zamora, Javier Fernández-Velasco, José Ignacio Villarrubia, Noelia Espiño, Mercedes Lourido, Daniel Lapuente, Paloma Toboso, Inmaculada Álvarez-Cermeño, José Carlos Masjuan, Jaime Villar, Luisa María Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome |
title | Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome |
title_full | Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome |
title_fullStr | Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome |
title_full_unstemmed | Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome |
title_short | Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome |
title_sort | predicting aggressive multiple sclerosis with intrathecal igm synthesis among patients with a clinically isolated syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299514/ https://www.ncbi.nlm.nih.gov/pubmed/34301819 http://dx.doi.org/10.1212/NXI.0000000000001047 |
work_keys_str_mv | AT monrealenric predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT sainzdelamazasusana predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT costafrossardlucienne predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT walodelgadopaulette predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT zamorajavier predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT fernandezvelascojoseignacio predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT villarrubianoelia predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT espinomercedes predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT louridodaniel predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT lapuentepaloma predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT tobosoinmaculada predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT alvarezcermenojosecarlos predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT masjuanjaime predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome AT villarluisamaria predictingaggressivemultiplesclerosiswithintrathecaligmsynthesisamongpatientswithaclinicallyisolatedsyndrome |