Introduction: The effects of biologic and targeted synthetic disease-modifying anti-rheumatic drugs (b/tsDMARDs) and conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) on body composition and muscle function in rheumatoid arthritis (RA) patients requiring treatment enhancement were compared.
Methods: This multicenter, prospective, observational study (PRESENT Study) divided RA patients non-randomly into a csDMARD group (n = 100) and a b/tsDMARD group (n = 100). Changes in body composition and muscle function were examined in 80 patients in each group followed for 52 weeks. The percentages of new-onset and improved sarcopenia over 1 year were investigated. Patients in the b/tsDMARD group were divided into three groups by drug type: TNF inhibitors (n = 30), non-TNF inhibitors (n = 23), and JAK inhibitors (n = 27).
Results: Baseline median age and disease duration were 70.0 and 4.0 years, respectively. Changes in weight (24 and 52 weeks) and muscle mass (52 weeks) were significantly higher in the b/tsDMARD group (p = .035, p < .001, and p = .002, respectively). On multivariate logistic regression analysis, b/tsDMARD treatment (OR 3.21, p = .002), DAS28-ESR (OR 0.65 p = .011), and muscle mass (OR 0.90, p = .023) were independently associated with increased muscle mass at 52 weeks. The percentages of new-onset and improved sarcopenia were almost equal. There were no significant differences in the time-dependent changes (52 weeks) of clinical status, body composition, muscle function, and status of sarcopenia among TNF inhibitors, non-TNF inhibitors, and JAK inhibitors.
Conclusions: Weight and muscle mass increased significantly more with b/tsDMARD than with csDMARD treatment. There were no differences in body composition changes by mode of action with b/tsDMARDs.
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http://dx.doi.org/10.1111/1756-185X.15371 | DOI Listing |
EBioMedicine
December 2024
CeMM Research Centre for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Centre for Physiology and Pharmacology, Medical University of Vienna; Vienna, Austria. Electronic address:
Background: High content imaging-based functional precision medicine approaches have been developed and successfully applied in the field of haemato-oncology. For rheumatoid arthritis (RA), treatment selection is still based on a trial-and-error principle, and biomarkers for patient stratification and drug response prediction are needed.
Methods: A high content, high throughput microscopy-based phenotyping pipeline for peripheral blood mononuclear cells (PBMCs) was developed, allowing for the quantification of cell type frequencies, cell type specific morphology and intercellular interactions from patients with RA (n = 65) and healthy controls (HC, n = 33).
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.
Rheumatology (Oxford)
December 2024
Centre for Rheumatic Diseases, Department of Inflammation Biology, King's College London, London, UK.
Objectives: To update the first-line conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) prescribing pattern, describe change and variation across demographical and geographical factors in the Rheumatoid arthritis (RA) population, and identify individual and hospital factors associated with it.
Methods: This retrospective cohort study included newly diagnosed RA adult patients from 1 May 2018-1 April 2023 in the UK. We used adjusted multinomial logistic regression with random effect to explore associations with different first-line csDMRAD prescription and to account for hospital-level clustering.
Rheumatol Ther
December 2024
University of Milan, Fondazione IRCCS Istituto Nazionale del Tumori, Milan, Italy.
Current literature regarding cancer risk in rheumatic and musculoskeletal diseases (RMDs) is particularly poor and controversial, even though the incidence of malignancy in some patients with RMDs is considered to be increased compared with the general population. Malignancy may be a major comorbidity in subjects with spondyloarthritis (SpA) as the result of multifactorial mechanisms, from disease pathogenesis to the iatrogenic effect of immunomodulating drugs. Several recommendations for screening and management of cancer risk have been developed in recent years with the aim of improving the different outcomes in these patients.
View Article and Find Full Text PDFJ Rheum Dis
January 2025
St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Objective: An association between increased erythrocyte mean corpuscular volume (MCV) and treatment response in patients with inflammatory arthritis receiving methotrexate (MTX) has been reported. We investigated the frequency of red blood cell (RBC) macrocytosis and its clinical implications regarding the initiation of biological or targeted synthetic disease-modifying anti-rheumatic drugs (b/tsDMARDs) in patients starting MTX for rheumatoid arthritis (RA).
Methods: RBC macrocytosis (MCV >100 fL) and clinical characteristics were retrospectively examined in 1,156 patients starting MTX for RA.
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