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10.1038/s41746-025-01997-1

http://scihub22266oqcxt.onion/10.1038/s41746-025-01997-1
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suck abstract from ncbi


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pmid41131344
      NPJ+Digit+Med 2025 ; 8 (1 ): 623
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  • Location and amount of joint involvement differentiates rheumatoid arthritis into different clinical subsets #MMPMID41131344
  • Maarseveen TD ; Maurits MP ; Coletto LA ; Perniola S ; Böhringer S ; Steinz N ; Bergstra SA ; Bruno D ; Gigante MR ; Pacucci VA ; Petricca L ; Boxma-de Klerk B ; Glas HK ; Di Mario C ; Campobasso D ; Tolusso B ; Veris-van Dieren J ; van der Helm-van Mil AHM ; Gremese E ; D'Agostino MA ; Reinders MJT ; Gessi M ; Huizinga TWJ ; Alivernini S ; van den Akker EB ; Knevel R
  • NPJ Digit Med 2025[Oct]; 8 (1 ): 623 PMID41131344 show ga
  • Rheumatoid arthritis (RA) is a heterogeneous disease with variable symptoms, prognosis, and treatment response, necessitating refined patient classification. We applied multimodal deep learning and clustering to identify distinct RA phenotypes using baseline clinical data from 1,387 patients in the Leiden Rheumatology clinic. Four Joint Involvement Patterns (JIP) emerged: foot-predominant arthritis, seropositive oligoarticular disease, seronegative hand arthritis, and polyarthritis. Findings were validated in clinical trial data (n?=?307) and an independent secondary care cohort (n?=?515). Clusters showed high stability and significant differences in remission rates (P?=?0.007) and methotrexate failure (P?
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