Infection Risks Among Patients With Multiple Sclerosis Treated With Fingolimod, Natalizumab, Rituximab, and Injectable Therapies.


Journal

JAMA neurology
ISSN: 2168-6157
Titre abrégé: JAMA Neurol
Pays: United States
ID NLM: 101589536

Informations de publication

Date de publication:
01 02 2020
Historique:
pubmed: 8 10 2019
medline: 18 11 2020
entrez: 8 10 2019
Statut: ppublish

Résumé

Although highly effective disease-modifying therapies for multiple sclerosis (MS) have been associated with an increased risk of infections vs injectable therapies interferon beta and glatiramer acetate (GA), the magnitude of potential risk increase is not well established in real-world populations. Even less is known about infection risk associated with rituximab, which is extensively used off-label to treat MS in Sweden. To examine the risk of serious infections associated with disease-modifying treatments for MS. This nationwide register-based cohort study was conducted in Sweden from January 1, 2011, to December 31, 2017. National registers with prospective data collection from the public health care system were used. All Swedish patients with relapsing-remitting MS whose data were recorded in the Swedish MS register as initiating treatment with rituximab, natalizumab, fingolimod, or interferon beta and GA and an age-matched and sex-matched general population comparator cohort were included. Treatment with rituximab, natalizumab, fingolimod, and interferon beta and GA. Serious infections were defined as all infections resulting in hospitalization. Additional outcomes included outpatient treatment with antibiotic or herpes antiviral medications. Adjusted hazard ratios (HRs) were estimated in Cox regressions. A total of 6421 patients (3260 taking rituximab, 1588 taking natalizumab, 1535 taking fingolimod, and 2217 taking interferon beta/GA) were included, plus a comparator cohort of 42 645 individuals. Among 6421 patients with 8600 treatment episodes, the mean (SD) age at treatment start ranged from 35.0 (10.1) years to 40.4 (10.6) years; 6186 patients were female. The crude rate of infections was higher in patients with MS taking interferon beta and GA than the general population (incidence rate, 8.9 [95% CI, 6.4-12.1] vs 5.2 [95% CI, 4.8-5.5] per 1000 person-years), and higher still in patients taking fingolimod (incidence rate, 14.3 [95% CI, 10.8-18.5] per 1000 person-years), natalizumab (incidence rate, 11.4 [95% CI, 8.3-15.3] per 1000 person-years), and rituximab (incidence rate, 19.7 [95% CI, 16.4-23.5] per 1000 person-years). After confounder adjustment, the rate remained significantly higher for rituximab (HR, 1.70 [95% CI, 1.11-2.61]) but not fingolimod (HR, 1.30 [95% CI, 0.84-2.03]) or natalizumab (HR, 1.12 [95% CI, 0.71-1.77]) compared with interferon beta and GA. In contrast, use of herpes antiviral drugs during rituximab treatment was similar to that of interferon beta and GA and lower than that of natalizumab (HR, 1.82 [1.34-2.46]) and fingolimod (HR, 1.71 [95% CI, 1.27-2.32]). Patients with MS are at a generally increased risk of infections, and this differs by treatment. The rate of infections was lowest with interferon beta and GA; among newer treatments, off-label use of rituximab was associated with the highest rate of serious infections. The different risk profiles should inform the risk-benefit assessments of these treatments.

Identifiants

pubmed: 31589278
pii: 2752284
doi: 10.1001/jamaneurol.2019.3365
pmc: PMC6784753
doi:

Substances chimiques

Immunosuppressive Agents 0
Natalizumab 0
Rituximab 4F4X42SYQ6
Fingolimod Hydrochloride G926EC510T

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

184-191

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : ErratumIn

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Auteurs

Gustavo Luna (G)

Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

Peter Alping (P)

Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Joachim Burman (J)

Department of Neuroscience, Uppsala University, Uppsala, Sweden.

Katharina Fink (K)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Anna Fogdell-Hahn (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Martin Gunnarsson (M)

Center for Health and Medical Psychology, Örebro University, Örebro, Sweden.

Jan Hillert (J)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Annette Langer-Gould (A)

Clinical and Translational Neuroscience, Southern California Permanente Medical Group, Kaiser Permanente, Pasadena.

Jan Lycke (J)

Department of Clinical Neuroscience and Rehabilitation, University of Gothenburg, Gothenburg, Sweden.

Petra Nilsson (P)

Department of Clinical Sciences, Division of Neurology, Lund University, Lund, Sweden.

Jonatan Salzer (J)

Department of Pharmacology and Clinical Neuroscience, Umea University, Umea, Sweden.

Anders Svenningsson (A)

Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.

Magnus Vrethem (M)

Department of Clinical and Experimental Medicine, Linkoping University, Linkoping, Sweden.

Tomas Olsson (T)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Fredrik Piehl (F)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden.

Thomas Frisell (T)

Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

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Classifications MeSH