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| http://dx.doi.org/10.5606/ArchRheumatol.2016.5819 | DOI Listing |
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Association between resolution of MRI-detected inflammation and improved clinical outcomes in axial spondyloarthritis under long-term anti-TNF therapy.
RMD Open
January 2025
Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Gastroenterology, Infectious Diseases and Rheumatology (including Nutrition Medicine), Charite Universitatsmedizin Berlin, Berlin, Germany.
Objectives: In this post-hoc analysis of ESTHER trial, we aimed to investigate the longitudinal relationship between inflammation on MRI and the achievement of inactive disease/low disease activity in patients with axial spondyloarthritis (axSpA) treated with long-term tumor necrosis factor (TNF) inhibitor etanercept.
Methods: Of the 76 patients with active axSpA in the ESTHER trial, we included all patients treated with etanercept for at least 6 months for main analysis. All clinical and MRI data from 4.
High sacral slope, lumbar lordosis, and sacral slope-to-pelvic incidence ratio are associated with new bone formation in ankylosing spondylitis.
Turk J Med Sci
December 2024
Department of Rheumatology, Faculty of Medicine, Marmara University, İstanbul, Turkiye.
Background/aim: Syndesmophyte formation appears to be site-specific in ankylosing spondylitis (AS) and new bone formation seems to occur in regions of microtrauma that are prone to tensile forces. Pelvic and spinal parameters are unique for each individual. Pelvic tilt and sacral slope are important anatomical features that compensate in harmony in keeping the sagittal balance.
View Article and Find Full Text PDFApproaches and outcomes of adalimumab discontinuation in patients with well-controlled inflammatory arthritis: a systematic search and review.
Pediatr Rheumatol Online J
December 2024
Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Objective: This systematic search and review aimed to evaluate the available literature on discontinuation of adalimumab and other tumor necrosis factor inhibitors (TNFi) for patients with well-controlled chronic inflammatory arthritides.
Methods: We conducted a publication search on adalimumab discontinuation from 2000-2023 using PubMed, CINAHL, EMBASE, and Cochrane Library. Included studies evaluated adalimumab discontinuation approaches, tapering schemes, and outcomes including successful discontinuation and recapture after flare, in patients with well-controlled disease.
The necessity of validity diagnostics when drawing causal inferences from observational data: lessons from a multi-database evaluation of the risk of non-infectious uveitis among patients exposed to Remicade.
BMC Med Res Methodol
December 2024
Janssen Research & Development LLC, Global Epidemiology Organization, Raritan, NJ, USA.
Background: Autoimmune disorders have primary manifestations such as joint pain and bowel inflammation but can also have secondary manifestations such as non-infectious uveitis (NIU). A regulatory health authority raised concerns after receiving spontaneous reports for NIU following exposure to Remicade, a biologic therapy with multiple indications for which alternative therapies are available. In assessment of this clinical question, we applied validity diagnostics to support observational data causal inferences.
View Article and Find Full Text PDFAnatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.
RMD Open
December 2024
Department of Gastroenterology, Infectious Diseases and Rheumatology (incl. Nutrition Medicine), Charite - Universitatsmedizin Berlin, Berlin, Germany.
Purpose: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Methods: This retrospective multicentre study included conventional pelvic radiographs of four different patient cohorts focusing on axial spondyloarthritis collected at university and community hospitals. The first cohort, which consisted of 1483 radiographs, was split into training (n=1261) and validation (n=222) sets.
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