Clinical and experimental rheumatology · 2020
Subphenotypes of ANCA-associated vasculitis identified by latent class analysis.
СтатьяНазвание и аннотация: Перевод в очереди
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Wójcik Krzysztof, Biedroń Grzegorz, Wawrzycka-Adamczyk Katarzyna, Bazan-Socha Stanisława, Ćmiel Adam, Zdrojewski Zbigniew, Masiak Anna, Czuszyńska Zenobia, Majdan Maria, Jeleniewicz Radosław, Klinger Marian, Krajewska Magdalena, Kusztal Mariusz, Brzosko Marek, Iwona Brzosko, Dębska-Ślizień Alicja, Storoniak Hanna, Bułło-Piontecka Barbara, Tłustochowicz Witold, Kur-Zalewska Joanna, Wisłowska Małgorzata, Madej Marta, Hawrot-Kawecka Anna, Głuszko Piotr, Stasiek Małgorzata, Kucharz Eugeniusz, Musiał Jacek
Аннотация
OBJECTIVES: ANCA-associated vasculitides (AAV) are a heterogeneous group of rare diseases with unknown aetiology and the clinical spectrum ranging from life-threatening systemic disease, through single organ involvement to minor isolated skin changes. Thus, there is an unmet need for phenotype identification, especially among patients with granulomatosis with polyangiitis (GPA). Patients with microscopic polyangiitis (MPA) seem to be clinically much more uniform. Recently, three subcategories of AAV have been proposed and described as non-severe AAV, severe PR3-AAV, and severe MPO-AAV.
METHODS: In line with these attempts, we decided to use an unbiased approach offered by latent class analysis (LCA) to subcategorise GPA and MPA in a large cohort of Polish AAV patients included in a multicentre POLVAS registry.
RESULTS: LCA of our AAV group identified a four-class model of AAV, including previously proposed three subphenotypes and revealing a fourth (previously not described) clinically relevant subphenotype. This new subphenotype includes only GPA patients, usually diagnosed at a younger age as compared to other groups, and characterised by multiorgan involvement, high relapse rate, relatively high risk of death, but no end-stage kidney disease.
CONCLUSIONS: Based on multiple clinical and serological variables, LCA methodology identified 4-class model of AAV. This newly described fourth class of AAV may be of clinical relevance and may require prompt diagnosis and aggressive treatment due to the multiorgan involvement, high risk of relapse and marked mortality among these relatively young GPA subjects.
METHODS: In line with these attempts, we decided to use an unbiased approach offered by latent class analysis (LCA) to subcategorise GPA and MPA in a large cohort of Polish AAV patients included in a multicentre POLVAS registry.
RESULTS: LCA of our AAV group identified a four-class model of AAV, including previously proposed three subphenotypes and revealing a fourth (previously not described) clinically relevant subphenotype. This new subphenotype includes only GPA patients, usually diagnosed at a younger age as compared to other groups, and characterised by multiorgan involvement, high relapse rate, relatively high risk of death, but no end-stage kidney disease.
CONCLUSIONS: Based on multiple clinical and serological variables, LCA methodology identified 4-class model of AAV. This newly described fourth class of AAV may be of clinical relevance and may require prompt diagnosis and aggressive treatment due to the multiorgan involvement, high risk of relapse and marked mortality among these relatively young GPA subjects.