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Identifying subsets of patients with undifferentiated connective tissue disease: Results from a prospective, real-world experience using particle-based multi-analyte technology.

作者信息

Radin Massimo, Cecchi Irene, Barinotti Alice, Wilson Jones Georgia, Arbrile Marta, Miraglia Paolo, Mahler Michael, Bentow Chelsea, Rossi Daniela, Menegatti Elisa, Roccatello Dario, Sciascia Savino

机构信息

University Center of Excellence on Nephrologic, Rheumatologic and Rare Diseases (ERK-Net, ERN-Reconnect and RITA-ERN Member) with Nephrology and Dialysis Unit and Center of Immuno-Rheumatology and Rare Diseases (CMID), Coordinating Center of the Interregional Network for Rare Diseases of Piedmont and Aosta Valley, San Giovanni Bosco Hub Hospital, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy; School of Specialization of Clinical Pathology, Department of Clinical and Biological Sciences, University of Turin, Italy.

Werfen Autoimmunity, San Diego, CA 92131, USA.

出版信息

Autoimmun Rev. 2023 May;22(5):103298. doi: 10.1016/j.autrev.2023.103298. Epub 2023 Feb 14.

DOI:10.1016/j.autrev.2023.103298
PMID:36796708
Abstract
摘要

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引用本文的文献

1
Autoantibody status according to multiparametric assay accurately estimates connective tissue disease classification and identifies clinically relevant disease clusters.根据多参数测定的自身抗体状态准确估计结缔组织病分类，并确定具有临床相关性的疾病聚类。
RMD Open. 2023 Sep;9(3). doi: 10.1136/rmdopen-2023-003365.