New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab
Overview: We assessed the role of age and disease activity as new factors contributing to establish the risk of progressive multifocal leucoencephalopathy in multiple sclerosis patients treated with natalizumab in 36 University Hospitals in Europe. We performed the study in 1,307 multiple sclerosis...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-12-01
|
Series: | Frontiers in Neurology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2020.579438/full |
id |
doaj-c82f6fa684d240fe86a6b469a1788aa1 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Inmaculada Toboso Amalia Tejeda-Velarde Roberto Alvarez-Lafuente Rafael Arroyo Harald Hegen Florian Deisenhammer Susana Sainz de la Maza José C. Alvarez-Cermeño Guillermo Izquierdo Dolores Paramo Pedro Oliva Bonaventura Casanova Eduardo Agüera-Morales Diego Franciotta Matteo Gastaldi Oscar Fernández Patricia Urbaneja José M. Garcia-Dominguez Fernando Romero Alicia Laroni Antonio Uccelli Angel Perez-Sempere Albert Saiz Yolanda Blanco Daniela Galimberti Elio Scarpini Carmen Espejo Xavier Montalban Ludwig Rasche Friedemann Paul Friedemann Paul Inés González Elena Álvarez Cristina Ramo Ana B. Caminero Yolanda Aladro Carmen Calles Pablo Eguía Antonio Belenguer-Benavides Lluis Ramió-Torrentà Ester Quintana José E. Martínez-Rodríguez Agustín Oterino Carlos López de Silanes Luis I. Casanova Lamberto Landete Jette Frederiksen Gabriel Bsteh Patricia Mulero Manuel Comabella Miguel A. Hernández Mercedes Espiño José M. Prieto Domingo Pérez María Otano Francisco Padilla Juan A. García-Merino Laura Navarro Alfonso Muriel Lucienne Costa Frossard Luisa M. Villar |
spellingShingle |
Inmaculada Toboso Amalia Tejeda-Velarde Roberto Alvarez-Lafuente Rafael Arroyo Harald Hegen Florian Deisenhammer Susana Sainz de la Maza José C. Alvarez-Cermeño Guillermo Izquierdo Dolores Paramo Pedro Oliva Bonaventura Casanova Eduardo Agüera-Morales Diego Franciotta Matteo Gastaldi Oscar Fernández Patricia Urbaneja José M. Garcia-Dominguez Fernando Romero Alicia Laroni Antonio Uccelli Angel Perez-Sempere Albert Saiz Yolanda Blanco Daniela Galimberti Elio Scarpini Carmen Espejo Xavier Montalban Ludwig Rasche Friedemann Paul Friedemann Paul Inés González Elena Álvarez Cristina Ramo Ana B. Caminero Yolanda Aladro Carmen Calles Pablo Eguía Antonio Belenguer-Benavides Lluis Ramió-Torrentà Ester Quintana José E. Martínez-Rodríguez Agustín Oterino Carlos López de Silanes Luis I. Casanova Lamberto Landete Jette Frederiksen Gabriel Bsteh Patricia Mulero Manuel Comabella Miguel A. Hernández Mercedes Espiño José M. Prieto Domingo Pérez María Otano Francisco Padilla Juan A. García-Merino Laura Navarro Alfonso Muriel Lucienne Costa Frossard Luisa M. Villar New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab Frontiers in Neurology multiple sclerosis demyelinating diseases biomarkers natalizumab progressive multifocal leucoencephalopathy disease modifying treatments |
author_facet |
Inmaculada Toboso Amalia Tejeda-Velarde Roberto Alvarez-Lafuente Rafael Arroyo Harald Hegen Florian Deisenhammer Susana Sainz de la Maza José C. Alvarez-Cermeño Guillermo Izquierdo Dolores Paramo Pedro Oliva Bonaventura Casanova Eduardo Agüera-Morales Diego Franciotta Matteo Gastaldi Oscar Fernández Patricia Urbaneja José M. Garcia-Dominguez Fernando Romero Alicia Laroni Antonio Uccelli Angel Perez-Sempere Albert Saiz Yolanda Blanco Daniela Galimberti Elio Scarpini Carmen Espejo Xavier Montalban Ludwig Rasche Friedemann Paul Friedemann Paul Inés González Elena Álvarez Cristina Ramo Ana B. Caminero Yolanda Aladro Carmen Calles Pablo Eguía Antonio Belenguer-Benavides Lluis Ramió-Torrentà Ester Quintana José E. Martínez-Rodríguez Agustín Oterino Carlos López de Silanes Luis I. Casanova Lamberto Landete Jette Frederiksen Gabriel Bsteh Patricia Mulero Manuel Comabella Miguel A. Hernández Mercedes Espiño José M. Prieto Domingo Pérez María Otano Francisco Padilla Juan A. García-Merino Laura Navarro Alfonso Muriel Lucienne Costa Frossard Luisa M. Villar |
author_sort |
Inmaculada Toboso |
title |
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab |
title_short |
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab |
title_full |
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab |
title_fullStr |
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab |
title_full_unstemmed |
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab |
title_sort |
new algorithms improving pml risk stratification in ms patients treated with natalizumab |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2020-12-01 |
description |
Overview: We assessed the role of age and disease activity as new factors contributing to establish the risk of progressive multifocal leucoencephalopathy in multiple sclerosis patients treated with natalizumab in 36 University Hospitals in Europe. We performed the study in 1,307 multiple sclerosis patients (70.8% anti-John Cunninghan virus positive antibodies) treated with natalizumab for a median time of 3.28 years. Epidemiological, clinical, and laboratory variables were collected. Lipid-specific IgM oligoclonal band status was available in 277 patients. Factors associated with progressive multifocal leucoencephalopathy onset were explored by uni- and multivariate logistic regression.Results: Thirty-five patients developed progressive multifocal leucoencephalopathy. The multivariate analysis identified anti-John Cunninghan virus antibody indices and relapse rate as the best predictors for the onset of this serious opportunistic infection in the whole cohort. They allowed to stratify progressive multifocal leucoencephalopathy risk before natalizumab initiation in individual patients [area under the curve (AUC) = 0.85]. The risk ranged from <1/3,300 in patients with anti-John Cunninghan virus antibody indices <0.9 and relapse rate >0.5, to 1/50 in the opposite case. In patients with lipid-specific IgM oligoclonal bands assessment, age at natalizumab onset, anti-John Cunninghan virus antibody indices, and lipid-specific IgM oligoclonal band status predicted progressive multifocal leucoencephalopathy risk (AUC = 0.92). The absence of lipid-specific IgM oligoclonal bands was the best individual predictor (OR = 40.94). The individual risk ranged from <1/10,000 in patients younger than 45 years at natalizumab initiation, who showed anti John Cunningham virus antibody indices <0.9 and lipid-specific IgM oligoclonal bands to 1/33 in the opposite case.Conclusions: In a perspective of personalized medicine, disease activity, anti-lipid specific IgM oligoclonal bands, anti Jonh Cunninghan virus antibody levels, and age can help tailor natalizumab therapy in multiple sclerosis patients, as predictors of progressive multifocal leucoencephalopathy. |
topic |
multiple sclerosis demyelinating diseases biomarkers natalizumab progressive multifocal leucoencephalopathy disease modifying treatments |
url |
https://www.frontiersin.org/articles/10.3389/fneur.2020.579438/full |
work_keys_str_mv |
AT inmaculadatoboso newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT amaliatejedavelarde newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT robertoalvarezlafuente newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT rafaelarroyo newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT haraldhegen newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT floriandeisenhammer newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT susanasainzdelamaza newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT josecalvarezcermeno newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT guillermoizquierdo newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT doloresparamo newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT pedrooliva newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT bonaventuracasanova newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT eduardoagueramorales newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT diegofranciotta newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT matteogastaldi newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT oscarfernandez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT patriciaurbaneja newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT josemgarciadominguez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT fernandoromero newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT alicialaroni newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT antoniouccelli newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT angelperezsempere newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT albertsaiz newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT yolandablanco newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT danielagalimberti newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT elioscarpini newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT carmenespejo newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT xaviermontalban newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT ludwigrasche newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT friedemannpaul newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT friedemannpaul newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT inesgonzalez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT elenaalvarez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT cristinaramo newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT anabcaminero newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT yolandaaladro newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT carmencalles newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT pabloeguia newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT antoniobelenguerbenavides newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT lluisramiotorrenta newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT esterquintana newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT joseemartinezrodriguez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT agustinoterino newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT carloslopezdesilanes newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT luisicasanova newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT lambertolandete newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT jettefrederiksen newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT gabrielbsteh newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT patriciamulero newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT manuelcomabella newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT miguelahernandez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT mercedesespino newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT josemprieto newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT domingoperez newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT mariaotano newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT franciscopadilla newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT juanagarciamerino newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT lauranavarro newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT alfonsomuriel newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT luciennecostafrossard newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab AT luisamvillar newalgorithmsimprovingpmlriskstratificationinmspatientstreatedwithnatalizumab |
_version_ |
1724374734680883200 |
spelling |
doaj-c82f6fa684d240fe86a6b469a1788aa12020-12-21T14:55:55ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-12-011110.3389/fneur.2020.579438579438New Algorithms Improving PML Risk Stratification in MS Patients Treated With NatalizumabInmaculada Toboso0Amalia Tejeda-Velarde1Roberto Alvarez-Lafuente2Rafael Arroyo3Harald Hegen4Florian Deisenhammer5Susana Sainz de la Maza6José C. Alvarez-Cermeño7Guillermo Izquierdo8Dolores Paramo9Pedro Oliva10Bonaventura Casanova11Eduardo Agüera-Morales12Diego Franciotta13Matteo Gastaldi14Oscar Fernández15Patricia Urbaneja16José M. Garcia-Dominguez17Fernando Romero18Alicia Laroni19Antonio Uccelli20Angel Perez-Sempere21Albert Saiz22Yolanda Blanco23Daniela Galimberti24Elio Scarpini25Carmen Espejo26Xavier Montalban27Ludwig Rasche28Friedemann Paul29Friedemann Paul30Inés González31Elena Álvarez32Cristina Ramo33Ana B. Caminero34Yolanda Aladro35Carmen Calles36Pablo Eguía37Antonio Belenguer-Benavides38Lluis Ramió-Torrentà39Ester Quintana40José E. Martínez-Rodríguez41Agustín Oterino42Carlos López de Silanes43Luis I. Casanova44Lamberto Landete45Jette Frederiksen46Gabriel Bsteh47Patricia Mulero48Manuel Comabella49Miguel A. Hernández50Mercedes Espiño51José M. Prieto52Domingo Pérez53María Otano54Francisco Padilla55Juan A. García-Merino56Laura Navarro57Alfonso Muriel58Lucienne Costa Frossard59Luisa M. Villar60Immunology Department, Hospital Universitario Ramon y Cajal, Madrid, SpainImmunology Department, Hospital Universitario Ramon y Cajal, Madrid, SpainInstituto de Investigación Sanitaria San Carlos (IDISSC), Hospital Clinico San Carlos, Madrid, SpainDepartment of Neurology, Hospital Universitario Quiron Salud, Madrid, SpainDepartment of Neurology, Medical University of Innsbruck, Innsbruck, AustriaDepartment of Neurology, Medical University of Innsbruck, Innsbruck, AustriaNeurology Department, Hospital Universitario Ramon y Cajal, Madrid, SpainNeurology Department, Hospital Universitario Ramon y Cajal, Madrid, SpainNeurology Department, Hospital Universitario Virgen Macarena, Sevilla, SpainNeurology Department, Hospital Universitario Virgen Macarena, Sevilla, SpainNeurology Department, Hospital Universitario Central de Asturias, Oviedo, SpainNeurology Department, Hospital Universitario la Fe, Valencia, SpainNeurology Department, Hospital Universitario Reina Sofia, Cordoba, Spain0Istituti di Recovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, Italy0Istituti di Recovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, Italy1Neurology Department, Hospital Regional Universitario, Malaga, Spain1Neurology Department, Hospital Regional Universitario, Malaga, Spain2Neurology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain2Neurology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain3University of Genoa, Ospedale Policlinico San Martino, Genoa, Italy3University of Genoa, Ospedale Policlinico San Martino, Genoa, Italy4Neurology Department, Hospital General Universitario de Alicante, Alicante, Spain5Neurology Service, Hospital Clinic and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain5Neurology Service, Hospital Clinic and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain6Centro Dino Ferrari, Fondazione Ca' Granda, Istituti di Recovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico, University of Milan, Milan, Italy6Centro Dino Ferrari, Fondazione Ca' Granda, Istituti di Recovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico, University of Milan, Milan, Italy7Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain7Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain8Department of Neurology, NeuroCure Clinical Research Center, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany8Department of Neurology, NeuroCure Clinical Research Center, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany9Experimental and Clinical Research Center, Charité—Universitätsmedizin Berlin, Max Delbrück Center for Molecular Medicine, Berlin, Germany0Neurology Department, Hospital Alvaro Cunqueiro, Vigo, Spain0Neurology Department, Hospital Alvaro Cunqueiro, Vigo, Spain1Neurology Department, Hospital Germans Trias i Pujol, Badalona, Spain2Neurology Department, Hospital Nuestra Señora de Sonsoles, Avila, Spain3Neurology Department, Hospital Universitario Getafe, Getafe, Spain4Neurology Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain5Neurology Department, Hospital Doctor Jose Molina Orosa, Arrecife, Spain6Neurology Department, Hospital General Universitario de Castellón, Castellón, Spain7Neurology Department, Hospital Universitario Doctor Josep Trueta, Girona, Spain7Neurology Department, Hospital Universitario Doctor Josep Trueta, Girona, Spain8Neurology Department, Hospital del Mar, Barcelona, Spain9Neurology Department, Hospital Universitario Marqués de Valdecilla, Santander, Spain0Neurology Department, Hospital Universitario de Torrejón, Torrejón de Ardoz, Spain0Neurology Department, Hospital Universitario de Torrejón, Torrejón de Ardoz, Spain1Neurology Department, Hospital Universitario Dr. Peset, Valencia, Spain2Glostrup Hospital, University of Copenhagen, Copenhagen, DenmarkDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria7Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain7Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain3Neurology Department, Hospital Universitario Nuestra Señora de Candelaria, Tenerife, SpainImmunology Department, Hospital Universitario Ramon y Cajal, Madrid, Spain4Neurology Department, Hospital Clínico de Santiago, Santiago de Compostela, Spain5Neurology Department, Hospital del Bierzo, Ponferrada, Spain6Neurology Department, Complejo Hospitalario de Navarra, Pamplona, Spain7Neurology Department, Hospital Clinico de Malaga, Malaga, Spain8Neurology Department, Hospital Puerta de Hierro, Majadahonda, Madrid, Spain9Neurology Department, Hospital General de Elche, Elche, Spain0Biostatistics Unit, Hospital Univesitario Ramon y Cajal, Instituto Ramon y Cajal para la Investigación Sanitaria (IRYCIS), Madrid, SpainNeurology Department, Hospital Universitario Ramon y Cajal, Madrid, SpainImmunology Department, Hospital Universitario Ramon y Cajal, Madrid, SpainOverview: We assessed the role of age and disease activity as new factors contributing to establish the risk of progressive multifocal leucoencephalopathy in multiple sclerosis patients treated with natalizumab in 36 University Hospitals in Europe. We performed the study in 1,307 multiple sclerosis patients (70.8% anti-John Cunninghan virus positive antibodies) treated with natalizumab for a median time of 3.28 years. Epidemiological, clinical, and laboratory variables were collected. Lipid-specific IgM oligoclonal band status was available in 277 patients. Factors associated with progressive multifocal leucoencephalopathy onset were explored by uni- and multivariate logistic regression.Results: Thirty-five patients developed progressive multifocal leucoencephalopathy. The multivariate analysis identified anti-John Cunninghan virus antibody indices and relapse rate as the best predictors for the onset of this serious opportunistic infection in the whole cohort. They allowed to stratify progressive multifocal leucoencephalopathy risk before natalizumab initiation in individual patients [area under the curve (AUC) = 0.85]. The risk ranged from <1/3,300 in patients with anti-John Cunninghan virus antibody indices <0.9 and relapse rate >0.5, to 1/50 in the opposite case. In patients with lipid-specific IgM oligoclonal bands assessment, age at natalizumab onset, anti-John Cunninghan virus antibody indices, and lipid-specific IgM oligoclonal band status predicted progressive multifocal leucoencephalopathy risk (AUC = 0.92). The absence of lipid-specific IgM oligoclonal bands was the best individual predictor (OR = 40.94). The individual risk ranged from <1/10,000 in patients younger than 45 years at natalizumab initiation, who showed anti John Cunningham virus antibody indices <0.9 and lipid-specific IgM oligoclonal bands to 1/33 in the opposite case.Conclusions: In a perspective of personalized medicine, disease activity, anti-lipid specific IgM oligoclonal bands, anti Jonh Cunninghan virus antibody levels, and age can help tailor natalizumab therapy in multiple sclerosis patients, as predictors of progressive multifocal leucoencephalopathy.https://www.frontiersin.org/articles/10.3389/fneur.2020.579438/fullmultiple sclerosisdemyelinating diseasesbiomarkersnatalizumabprogressive multifocal leucoencephalopathydisease modifying treatments |