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http://dx.doi.org/10.1136/rmdopen-2024-004258 | DOI Listing |
J Transl Med
December 2024
Department of Rheumatology and Immunology, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Tianhe District, Guangzhou, China.
Background: Corona virus disease 2019 (COVID-19) reinfection, particularly short-term reinfection, poses challenges to the management of rheumatic diseases and may increase adverse clinical outcomes. This study aims to develop machine learning models to predict and identify the risk of short-term COVID-19 reinfection in patients with rheumatic diseases.
Methods: We developed four prediction models using explainable machine learning to assess the risk of short-term COVID-19 reinfection in 543 patients with rheumatic diseases.
RMD Open
July 2024
Department of Rheumatology, Erasmus Medical Center, Rotterdam, Netherlands.
Int J Gen Med
March 2024
Department of Rheumatology, The No. 1 Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, 650021, People's Republic of China.
Rheumatology (Oxford)
October 2023
Division of Rheumatology, Allegheny Health Network, Pittsburgh, PA, USA.
Objectives: This study had two aims: (i) to investigate outcomes of medication tapering in stable RA patients on biologic or targeted synthetic disease-modifying anti-rheumatic drugs (bDMARDs/tsDMARDs) and conventional synthetic DMARDs (csDMARDs) in a real-world prospective cohort; and (ii) to evaluate possible predictors of flare with medication taper.
Methods: A prospective cohort of patients with RA in sustained remission or low disease activity while on stable bDMARD/tsDMARDs +/- csDMARDs for at least 6 months underwent medication tapering/stopping and was tracked for 2 years. Patients were evaluated for flares in four groups: no taper, only bDMARD/tsDMARD taper, only csDMARD taper and both csDMARD and bDMARD/tsDMARD taper.
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