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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11261664PMC
http://dx.doi.org/10.1136/rmdopen-2024-004258DOI Listing

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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.

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Article Synopsis
  • Rheumatoid arthritis (RA) is the most prevalent inflammatory polyarthritis in Bangladesh, prompting the Bangladesh Rheumatology Society (BRS) to develop management recommendations that consider local resources and societal factors.
  • A task force of rheumatologists reviewed existing literature and guidelines, formulating a set of 12 recommendations that focus on early diagnosis, disease activity monitoring, and a structured approach to treating RA using various disease-modifying anti-rheumatic drugs (DMARDs).
  • The recommendations encompass strategies for starting treatment with methotrexate, adjusting therapy based on patient needs, and emphasizing the importance of screening for infections and vaccinations, aiming to effectively address the high prevalence of RA in the country.
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Article Synopsis
  • Glucocorticoids are vital for treating rheumatoid arthritis, but stopping them is challenging for doctors, prompting a study on alternative treatments.
  • The trial involved 231 participants, with 150 completing the first phase, divided into three groups receiving a combination of conventional drugs and traditional Chinese medicine.
  • The efficacy of the treatments was assessed over 12 weeks and continued until 24 weeks, ensuring rigorous data analysis and ethical oversight throughout the study.
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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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