Inflammatory diseases causing joint and bone destruction: rheumatoid arthritis and hemophilic arthropathy.

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Abstract

[Indexed for MEDLINE] Conflict of interest statement: The authors declare that they have no conflicts of interest. 19. Orphanet J Rare Dis. 2025 Apr 18;20(1):190. doi: 10.1186/s13023-025-03716-1. The prediction of haemophilic arthropathy progression based on MRI findings and clinical characteristics. Zhang L(1), Guo J(2), Wei S(3), Li J(3), Dou Y(1), Cheng T(1), Ge Y(4), Zhang T(3). Author information: (1)Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China. (2)GE Healthcare MR Research, Beijing, China. (3)Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China. (4)Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China. feisys@126.com. OBJECTIVE: To identify magnetic resonance imaging (MRI) and clinical characteristics that are closely associated with the progression of haemophilic arthropathy (HA) after different therapies and to establish a prediction model for HA progression using Cox proportional hazards regression, thus facilitating the development of personalized clinical replacement therapy plans. MATERIALS AND METHODS: Retrospective clinical and imaging data were collected from HA patients registered at the Henan Provincial Registration Management Center of Haemophilia from December 2010 to May 2023. The inclusion criteria were joints with a history of haemorrhage and initial/posttreatment reevaluation with X-ray and MRI. Joints with severe damage (i.e., a Pettersson score > 6) were excluded. Joint disease progression was defined as a > 1-point increase in the Pettersson score. Progression-free survival (PFS) was the primary outcome. MRI observations revealed joint effusion, synovial hypertrophy, haemosiderin deposition, bone destruction or cystic degeneration at the joint margins, and cartilage destruction. Age, body mass index (BMI), factor VIII (FVIII) activity, activated partial thromboplastin time (APTT), prothrombin time (PT), therapy type, annual joint bleeding rate (AJBR), and the Haemophilia Joint Health Score (HJHS) were also assessed. Subsequently, univariate and multivariate Cox proportional hazards regression models were employed to analyse the clinical and imaging characteristics influencing HA progression. Factors with a P