• Medicina clinica · Sep 2024

    Multicenter Study Comparative Study

    IgG4-related disease: Effectiveness evaluation through Umehara-Okazaki 2011 and ACR/EULAR 2019 diagnostic criteria.

    • Pablo Martínez Calabuig, Jorge Juan Fragío Gil, Roxana González Mazarío, Fernando López Gutiérrez, Javier Loricera García, Ricardo Blanco Alonso, and Cristina Campos Fernández.
    • Servicio de Reumatología y Metabolismo Óseo, Consorcio Hospital General Universitario, Valencia, Spain; Escuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir (UCV), Valencia, Spain. Electronic address: pablomc96@hotmail.es.
    • Med Clin (Barc). 2024 Sep 13; 163 (5): 217223217-223.

    BackgroundIgG4-related disease (IgG4-RD) is a rare, systemic immune-mediated fibro-inflammatory condition with an unclear etiology and pathophysiology, potentially affecting multiple organs. It presents with common clinical, radiological, and serological characteristics. This study aims to compare the latest two IgG4-RD classification and diagnostic criteria: Umehara-Okazaki 2011 and ACR/EULAR 2019.Material And MethodsIn a retrospective cross-sectional study conducted across two centers from January 2010 to July 2023, we included patients suspected of having IgG4-RD from various hospital departments. Patients finally diagnosed with other pathologies were excluded. The remaining suspected IgG4-RD cases were evaluated using both Umehara-Okazaki 2011 and ACR/EULAR 2019 criteria.ResultsOut of 34 patients with a clinical diagnosis of IgG4-RD, the Umehara-Okazaki 2011 classified 20 patients: 5 as definitive, 7 as probable, and 8 as possible cases. Applying the ACR/EULAR 2019 criteria to the same cohort resulted in the diagnosis of 9 patients. Notably, retroperitoneal fibrosis and aortitis were the most prevalent form of presentation, accounting for 25% and 22.2% of cases classified under the 2011 and 2019 criteria, respectively.DiscussionThe more recent and stringent ACR/EULAR 2019 criteria focus on histopathology, various forms of presentation, and analytical data, allow for a more accurate classification of patients.Copyright © 2024 Elsevier España, S.L.U. All rights reserved.

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