Multiple Sclerosis Severity Score (MSSS) improves the accuracy of individualized prediction in MS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F22%3A10446926" target="_blank" >RIV/00216208:11110/22:10446926 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=0FlF95k3~Q" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=0FlF95k3~Q</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/13524585221084577" target="_blank" >10.1177/13524585221084577</a>
Alternative languages
Result language
angličtina
Original language name
Multiple Sclerosis Severity Score (MSSS) improves the accuracy of individualized prediction in MS
Original language description
Background: The MSBase prediction model of treatment response leverages multiple demographic and clinical characteristics to estimate hazards of relapses, confirmed disability accumulation (CDA), and confirmed disability improvement (CDI). The model did not include Multiple Sclerosis Severity Score (MSSS), a disease duration-adjusted ranked score of disability. Objective: To incorporate MSSS into the MSBase prediction model and compare model accuracy with and without MSSS. Methods: The associations between MSSS and relapse, CDA, and CDI were evaluated with marginal proportional hazards models adjusted for three principal components representative of patients' demographic and clinical characteristics. The model fit with and without MSSS was assessed with penalized r2 and Harrell C. Results: A total of 5866 MS patients were started on disease-modifying therapy during prospective follow-up (age 38.4 +/- 10.6 years; 72% female; disease duration 8.5 +/- 7.7 years). Including MSSS into the model improved the accuracy of individual prediction of relapses by 31%, of CDA by 23%, and of CDI by 24% (Harrell C) and increased the amount of variance explained for relapses by 49%, for CDI by 11%, and for CDA by 10% as compared with the original model. Conclusion: Addition of a single, readily available metric, MSSS, to the comprehensive MSBase prediction model considerably improved the individual accuracy of prognostics in MS.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Multiple Sclerosis Journal
ISSN
1352-4585
e-ISSN
1477-0970
Volume of the periodical
28
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
1752-1761
UT code for WoS article
000777910400001
EID of the result in the Scopus database
2-s2.0-85129165607