Proportion and characteristics of secondary progressive multiple sclerosis in five European registries using objective classifiers

Lars Forsberg*, Tim Spelman, Pernilla Klyve, Ali Manouchehrinia, Ryan Ramanujam, Elena Mouresan, Jiri Drahota, Dana Horakova, Hanna Joensen, Luigi Pontieri, Melinda Magyari, David Ellenberger, Alexander Stahmann, Jeff Rodgers, James Witts, Rod Middleton, Richard Nicholas, Vladimir Bezlyak, Nicholas Adlard, Thomas HachCarol Lines, Sandra Vukusic, Merja Soilu-Hänninen, Anneke van der Walt, Helmut Butzkueven, Pietro Iaffaldano, Maria Trojano, Anna Glaser, Jan Hillert, SPMS Research Collaboration Network

*Corresponding author for this work

Abstract

BACKGROUND: To assign a course of secondary progressive multiple sclerosis (MS) (SPMS) may be difficult and the proportion of persons with SPMS varies between reports. An objective method for disease course classification may give a better estimation of the relative proportions of relapsing-remitting MS (RRMS) and SPMS and may identify situations where SPMS is under reported.

MATERIALS AND METHODS: Data were obtained for 61,900 MS patients from MS registries in the Czech Republic, Denmark, Germany, Sweden, and the United Kingdom (UK), including date of birth, sex, SP conversion year, visits with an Expanded Disability Status Scale (EDSS) score, MS onset and diagnosis date, relapses, and disease-modifying treatment (DMT) use. We included RRMS or SPMS patients with at least one visit between January 2017 and December 2019 if ≥ 18 years of age. We applied three objective methods: A set of SPMS clinical trial inclusion criteria ("EXPAND criteria") modified for a real-world evidence setting, a modified version of the MSBase algorithm, and a decision tree-based algorithm recently published.

RESULTS: The clinically assigned proportion of SPMS varied from 8.7% (Czechia) to 34.3% (UK). Objective classifiers estimated the proportion of SPMS from 15.1% (Germany by the EXPAND criteria) to 58.0% (UK by the decision tree method). Due to different requirements of number of EDSS scores, classifiers varied in the proportion they were able to classify; from 18% (UK by the MSBase algorithm) to 100% (the decision tree algorithm for all registries). Objectively classified SPMS patients were older, converted to SPMS later, had higher EDSS at index date and higher EDSS at conversion. More objectively classified SPMS were on DMTs compared to the clinically assigned.

CONCLUSION: SPMS appears to be systematically underdiagnosed in MS registries. Reclassified patients were more commonly on DMTs.

Original languageEnglish
Article number20552173231153557
JournalMultiple sclerosis journal - experimental, translational and clinical
Volume9
Issue number1
Pages (from-to)1-10
Number of pages10
ISSN2055-2173
DOIs
Publication statusPublished - 16 Feb 2023

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