Publication:
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab.

dc.contributor.authorToboso, Inmaculada
dc.contributor.authorTejeda-Velarde, Amalia
dc.contributor.authorAlvarez-Lafuente, Roberto
dc.contributor.authorArroyo, Rafael
dc.contributor.authorHegen, Harald
dc.contributor.authorDeisenhammer, Florian
dc.contributor.authorSainz de la Maza, Susana
dc.contributor.authorAlvarez-Cermeño, José C
dc.contributor.authorIzquierdo, Guillermo
dc.contributor.authorParamo, Dolores
dc.contributor.authorOliva, Pedro
dc.contributor.authorCasanova, Bonaventura
dc.contributor.authorAgüera-Morales, Eduardo
dc.contributor.authorFranciotta, Diego
dc.contributor.authorGastaldi, Matteo
dc.contributor.authorFernández, Oscar
dc.contributor.authorUrbaneja, Patricia
dc.contributor.authorGarcia-Dominguez, José M
dc.contributor.authorRomero, Fernando
dc.contributor.authorLaroni, Alicia
dc.contributor.authorUccelli, Antonio
dc.contributor.authorPerez-Sempere, Angel
dc.contributor.authorSaiz, Albert
dc.contributor.authorBlanco, Yolanda
dc.contributor.authorGalimberti, Daniela
dc.contributor.authorScarpini, Elio
dc.contributor.authorEspejo, Carmen
dc.contributor.authorMontalban, Xavier
dc.contributor.authorRasche, Ludwig
dc.contributor.authorPaul, Friedemann
dc.contributor.authorGonzález, Inés
dc.contributor.authorÁlvarez, Elena
dc.contributor.authorRamo, Cristina
dc.contributor.authorCaminero, Ana B
dc.contributor.authorAladro, Yolanda
dc.contributor.authorCalles, Carmen
dc.contributor.authorEguía, Pablo
dc.contributor.authorBelenguer-Benavides, Antonio
dc.contributor.authorRamió-Torrentà, Lluis
dc.contributor.authorQuintana, Ester
dc.contributor.authorMartínez-Rodríguez, José E
dc.contributor.authorOterino, Agustín
dc.contributor.authorLópez de Silanes, Carlos
dc.contributor.authorCasanova, Luis I
dc.contributor.authorLandete, Lamberto
dc.contributor.authorFrederiksen, Jette
dc.contributor.authorBsteh, Gabriel
dc.contributor.authorMulero, Patricia
dc.contributor.authorComabella, Manuel
dc.contributor.authorHernández, Miguel A
dc.contributor.authorEspiño, Mercedes
dc.contributor.authorPrieto, José M
dc.contributor.authorPérez, Domingo
dc.contributor.authorOtano, María
dc.contributor.authorPadilla, Francisco
dc.contributor.authorGarcía-Merino, Juan A
dc.contributor.authorNavarro, Laura
dc.contributor.authorMuriel, Alfonso
dc.contributor.authorFrossard, Lucienne Costa
dc.contributor.authorVillar, Luisa M
dc.date.accessioned2023-02-09T10:39:20Z
dc.date.available2023-02-09T10:39:20Z
dc.date.issued2020-12-17
dc.description.abstractOverview: 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 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
dc.identifier.doi10.3389/fneur.2020.579438
dc.identifier.issn1664-2295
dc.identifier.pmcPMC7780851
dc.identifier.pmid33408681
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780851/pdf
dc.identifier.unpaywallURLhttps://www.frontiersin.org/articles/10.3389/fneur.2020.579438/pdf
dc.identifier.urihttp://hdl.handle.net/10668/16933
dc.journal.titleFrontiers in neurology
dc.journal.titleabbreviationFront Neurol
dc.language.isoen
dc.organizationHospital Universitario Virgen de la Victoria
dc.organizationHospital Universitario Regional de Málaga
dc.organizationHospital Universitario Virgen Macarena
dc.organizationHospital Universitario Reina Sofía
dc.page.number579438
dc.pubmedtypeJournal Article
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbiomarkers
dc.subjectdemyelinating diseases
dc.subjectdisease modifying treatments
dc.subjectmultiple sclerosis
dc.subjectnatalizumab
dc.subjectprogressive multifocal leucoencephalopathy
dc.titleNew Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number11
dspace.entity.typePublication

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