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

Authors :
Toboso I
Tejeda-Velarde A
Alvarez-Lafuente R
Arroyo R
Hegen H
Deisenhammer F
Sainz de la Maza S
Alvarez-Cermeño JC
Izquierdo G
Paramo D
Oliva P
Casanova B
Agüera-Morales E
Franciotta D
Gastaldi M
Fernández O
Urbaneja P
Garcia-Dominguez JM
Romero F
Laroni A
Uccelli A
Perez-Sempere A
Saiz A
Blanco Y
Galimberti D
Scarpini E
Espejo C
Montalban X
Rasche L
Paul F
González I
Álvarez E
Ramo C
Caminero AB
Aladro Y
Calles C
Eguía P
Belenguer-Benavides A
Ramió-Torrentà L
Quintana E
Martínez-Rodríguez JE
Oterino A
López de Silanes C
Casanova LI
Landete L
Frederiksen J
Bsteh G
Mulero P
Comabella M
Hernández MA
Espiño M
Prieto JM
Pérez D
Otano M
Padilla F
García-Merino JA
Navarro L
Muriel A
Frossard LC
Villar LM
Source :
Frontiers in neurology [Front Neurol] 2020 Dec 17; Vol. 11, pp. 579438. Date of Electronic Publication: 2020 Dec 17 (Print Publication: 2020).
Publication Year :
2020

Abstract

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.<br />Competing Interests: LV received a research grant from Biogen. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2020 Toboso, Tejeda-Velarde, Alvarez-Lafuente, Arroyo, Hegen, Deisenhammer, Sainz de la Maza, Alvarez-Cermeño, Izquierdo, Paramo, Oliva, Casanova, Agüera-Morales, Franciotta, Gastaldi, Fernández, Urbaneja, Garcia-Dominguez, Romero, Laroni, Uccelli, Perez-Sempere, Saiz, Blanco, Galimberti, Scarpini, Espejo, Montalban, Rasche, Paul, González, Álvarez, Ramo, Caminero, Aladro, Calles, Eguía, Belenguer-Benavides, Ramió-Torrentà, Quintana, Martínez-Rodríguez, Oterino, López de Silanes, Casanova, Landete, Frederiksen, Bsteh, Mulero, Comabella, Hernández, Espiño, Prieto, Pérez, Otano, Padilla, García-Merino, Navarro, Muriel, Frossard and Villar.)

Details

Language :
English
ISSN :
1664-2295
Volume :
11
Database :
MEDLINE
Journal :
Frontiers in neurology
Publication Type :
Academic Journal
Accession number :
33408681
Full Text :
https://doi.org/10.3389/fneur.2020.579438