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Article

Identifying distinct clinical phenotypes and outcomes in adult-onset IgA vasculitis using unsupervised clustering analysis.

European journal of internal medicine - 1 May 2026

Maisons Valentin, Hankard Antoine, Hočevar Alojzija, Pillebout Evangeline, Halimi Jean-Michel, Sautenet Bénédicte, Barbet Christelle, Jourde-Chiche Noémie, Karras Alexandre, Augusto Jean-François, Puéchal Xavier, Faguer Stanislas, Lavigne Christian, Baud Kim, Archambeaud Alexis, de Boysson Hubert, Aouba Achille, Maillot François, Terrier Benjamin, Nguyen Yann, Audemard-Verger Alexandra

Abstract excerpt

OBJECTIVE: IgA vasculitis (IgAV) is a small-vessel vasculitis. The diversity of clinical presentations and outcomes requires the identification of groups with a distinct phenotype for management and follow-up. METHODS: The French retrospective IGAVAS database (n = 260) includes adult-onset IgAV. Agglomerative hierarchical clustering was performed, using k-means and Ward's method, based on 7 parameters (sex, age,...

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Age of Onset
Cluster Analysis
Clustering Algorithms
France

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Immunoglobulin A

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PMID: 41644397
DOI: 10.1016/j.ejim.2026.106742

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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