Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study

Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study

IntroductionAchieving remission is a critical therapeutic goal in the management of rheumatoid arthritis (RA). Despite methotrexate being the cornerstone of early RA treatment, a significant proportion of patients fail to achieve remission. This study aims to predict 6-month non-remission in 222 dis...

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Bibliographic Details
Main Authors: Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Bjørn Steen Skålhegg
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Medicine
Subjects:
rheumatoid arthritis
methotrexate
remission
prediction
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1526708/full
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