Real-life evaluation of the 2017 McDonald criteria for relapsing-remitting multiple sclerosis after a clinically isolated syndrome confirms a gain in time-to-diagnosis.

Clinically isolated syndrome Diagnosis McDonald criteria Multiple sclerosis Oligoclonal bands

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
31 Aug 2023
Historique:
received: 25 05 2023
accepted: 25 07 2023
revised: 25 07 2023
medline: 31 8 2023
pubmed: 31 8 2023
entrez: 31 8 2023
Statut: aheadofprint

Résumé

Previous cohort studies evaluating the performances of the McDonald criteria suffered from bias regarding real-life conditions. We aimed to evaluate the probability of diagnosing relapsing-remitting multiple sclerosis (MS) at several timepoints from the first medical evaluation and the gain in time-to-diagnosis with the 2017 McDonald criteria compared with the 2001, 2005 and 2010 versions in real life. Patients with a first demyelinating event suggestive of MS between 2002 and 2020 were included in the ReLSEP, an exhaustive and prospectively incremented registry of MS patients in North-Eastern France. We estimated the probability of being positive at the first medical evaluation and at five timepoints according to the four versions of criteria using Kaplan-Meier estimators and Cox models. A total of 2220 patients were followed up for a median of 7.1 years. At baseline, 31.7%, 32.1%, 36.6% and 54.0% of patients, respectively, fulfilled the 2001, 2005, 2010 and 2017 McDonald criteria. Using the 2017 criteria, the gain in time-to-diagnosis was 3.7 months compared with the 2010 criteria. The presence of intrathecal synthesis of immunoglobulin G in the McDonald 2017 criteria led to a 1.8-month reduction in median time-to-diagnosis compared to a version of McDonald 2017 without this criteria. In real-life, the 2017 McDonald criteria revision undoubtedly shortened time-to-diagnosis.

Sections du résumé

BACKGROUND BACKGROUND
Previous cohort studies evaluating the performances of the McDonald criteria suffered from bias regarding real-life conditions. We aimed to evaluate the probability of diagnosing relapsing-remitting multiple sclerosis (MS) at several timepoints from the first medical evaluation and the gain in time-to-diagnosis with the 2017 McDonald criteria compared with the 2001, 2005 and 2010 versions in real life.
METHODS METHODS
Patients with a first demyelinating event suggestive of MS between 2002 and 2020 were included in the ReLSEP, an exhaustive and prospectively incremented registry of MS patients in North-Eastern France. We estimated the probability of being positive at the first medical evaluation and at five timepoints according to the four versions of criteria using Kaplan-Meier estimators and Cox models.
RESULTS RESULTS
A total of 2220 patients were followed up for a median of 7.1 years. At baseline, 31.7%, 32.1%, 36.6% and 54.0% of patients, respectively, fulfilled the 2001, 2005, 2010 and 2017 McDonald criteria. Using the 2017 criteria, the gain in time-to-diagnosis was 3.7 months compared with the 2010 criteria. The presence of intrathecal synthesis of immunoglobulin G in the McDonald 2017 criteria led to a 1.8-month reduction in median time-to-diagnosis compared to a version of McDonald 2017 without this criteria.
CONCLUSIONS CONCLUSIONS
In real-life, the 2017 McDonald criteria revision undoubtedly shortened time-to-diagnosis.

Identifiants

pubmed: 37650895
doi: 10.1007/s00415-023-11905-w
pii: 10.1007/s00415-023-11905-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

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Auteurs

Mickaël Ferrand (M)

Department of Neurology, Nancy University Hospital, 54035, Nancy, France.

Jonathan Epstein (J)

Université de Lorraine, APEMAC, 54000, Nancy, France.
CHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, 54000, Nancy, France.

Marc Soudant (M)

CHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, 54000, Nancy, France.

Francis Guillemin (F)

Université de Lorraine, APEMAC, 54000, Nancy, France.
CHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, 54000, Nancy, France.

Sophie Pittion-Vouyovitch (S)

Department of Neurology, Nancy University Hospital, 54035, Nancy, France.

Marc Debouverie (M)

Department of Neurology, Nancy University Hospital, 54035, Nancy, France.
Université de Lorraine, APEMAC, 54000, Nancy, France.

Guillaume Mathey (G)

Department of Neurology, Nancy University Hospital, 54035, Nancy, France. g.mathey@chru-nancy.fr.
Université de Lorraine, APEMAC, 54000, Nancy, France. g.mathey@chru-nancy.fr.

Classifications MeSH