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Consensus on early detection of disease progression in patients with multiple sclerosis

Authors :
José E. Meca-Lallana
Bonaventura Casanova
Alfredo Rodríguez-Antigüedad
Sara Eichau
Guillermo Izquierdo
Carmen Durán
Jordi Río
Miguel Ángel Hernández
Carmen Calles
José M. Prieto-González
José Ramón Ara
Dionisio F. Uría
Lucienne Costa-Frossard
Antonio García-Merino
Celia Oreja-Guevara
Source :
Frontiers in Neurology, Vol 13 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundEarly identification of the transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive MS (SPMS) can be challenging for clinicians, as diagnostic criteria for SPMS are primarily based on physical disability and a holistic interpretation.ObjectiveTo establish a consensus on patient monitoring to identify promptly disease progression and the most useful clinical and paraclinical variables for early identification of disease progression in MS.MethodsA RAND/UCLA Appropriateness Method was used to establish the level of agreement among a panel of 15 medical experts in MS. Eighty-three items were circulated to the experts for confidential rating of the grade of agreement and recommendation. Consensus was defined when ≥66% agreement or disagreement was achieved.ResultsConsensus was reached in 72 out of 83 items (86.7%). The items addressed frequency of follow-up visits, definition of progression, identification of clinical, cognitive, and radiological assessments as variables of suspected or confirmed SPMS diagnosis, the need for more accurate assessment tools, and the use of promising molecular and imaging biomarkers to predict disease progression and/or diagnose SPMS.ConclusionConsensus achieved on these topics could guide neurologists to identify earlier disease progression and to plan targeted clinical and therapeutic interventions during the earliest stages of SPMS.

Details

Language :
English
ISSN :
16642295
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.9c9b31ac3d4967b3581b1660d1bab5
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2022.931014