Emma Rubenstein, C. Maldini, A. Vaglio, F. Bello, J. Bremer, F. Moosig, P. Bottero, Alberto Pesci, R. Sinico, J. Grosskreutz, Claudia Feder, D. Saadoun, Giorgio Trivioli, F. Maritati, B. Rewerska, W. Szczeklik, P. Fraticelli, Giuseppe Guida, G. Gregorini, G. Moroncini, B. Hellmich, J. Zwerina, Matthieu Resche-Rigon, G. Emmi, T. Neumann, A. Mahr
{"title":"Cluster Analysis To Explore Clinical Subphenotypes Of Eosinophilic Granulomatosis With Polyangiitis (Churg-Strauss).","authors":"Emma Rubenstein, C. Maldini, A. Vaglio, F. Bello, J. Bremer, F. Moosig, P. Bottero, Alberto Pesci, R. Sinico, J. Grosskreutz, Claudia Feder, D. Saadoun, Giorgio Trivioli, F. Maritati, B. Rewerska, W. Szczeklik, P. Fraticelli, Giuseppe Guida, G. Gregorini, G. Moroncini, B. Hellmich, J. Zwerina, Matthieu Resche-Rigon, G. Emmi, T. Neumann, A. Mahr","doi":"10.3899/jrheum.2022-0325","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\nPrevious studies suggested that distinct phenotypes of eosinophilic granulomatosis with polyangiitis (EGPA) could be determined by presence or absence of antineutrophil cytoplasmic antibodies (ANCA), reflecting predominant vasculitic or eosinophilic processes, respectively. This study explored whether ANCA-based clusters or other clusters can be identified in EGPA.\n\n\nMETHODS\nThis study used standardized data of 15 European centers for patients with EGPA fulfilling widely accepted classification criteria. We used multiple correspondence analysis, hierarchical cluster analysis, and a decision tree model. The main model included 10 clinical variables (musculoskeletal, mucocutaneous, ophthalmological, ENT, cardiovascular, pulmonary, gastrointestinal, renal, central or peripheral neurological involvement); a second model also included ANCA results.\n\n\nRESULTS\nThe analyses included 489 patients diagnosed in 1984-2015. ANCA were detected in 37.2% of patients, mostly P-ANCA (85.4%) and/or anti-myeloperoxidase (87.0%). Compared with ANCA-negative patients, those with ANCA had more renal (P<0.001) and peripheral neurological involvement (P=0.04), fewer cardiovascular signs (P<0.001) and fewer biopsies with eosinophilic tissue infiltrates (P=0.001). The cluster analyses generated four (model without ANCA) and five clusters (model with ANCA). Both models identified three identical clusters of 34, 39 and 40 patients according to the presence or absence of ENT, CNS and ophthalmological involvement. Peripheral neurological and cardiovascular involvement were not predictive characteristics.\n\n\nCONCLUSION\nAlthough reinforcing the known association of ANCA status with clinical manifestations, cluster analysis does not support a complete separation of EGPA in ANCA-positive and -negative subsets. Collectively, these data indicate that EGPA should be regarded as a phenotypic spectrum rather than a dichotomous disease.","PeriodicalId":35278,"journal":{"name":"The Journal of rheumatology. Supplement","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of rheumatology. Supplement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3899/jrheum.2022-0325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
OBJECTIVE
Previous studies suggested that distinct phenotypes of eosinophilic granulomatosis with polyangiitis (EGPA) could be determined by presence or absence of antineutrophil cytoplasmic antibodies (ANCA), reflecting predominant vasculitic or eosinophilic processes, respectively. This study explored whether ANCA-based clusters or other clusters can be identified in EGPA.
METHODS
This study used standardized data of 15 European centers for patients with EGPA fulfilling widely accepted classification criteria. We used multiple correspondence analysis, hierarchical cluster analysis, and a decision tree model. The main model included 10 clinical variables (musculoskeletal, mucocutaneous, ophthalmological, ENT, cardiovascular, pulmonary, gastrointestinal, renal, central or peripheral neurological involvement); a second model also included ANCA results.
RESULTS
The analyses included 489 patients diagnosed in 1984-2015. ANCA were detected in 37.2% of patients, mostly P-ANCA (85.4%) and/or anti-myeloperoxidase (87.0%). Compared with ANCA-negative patients, those with ANCA had more renal (P<0.001) and peripheral neurological involvement (P=0.04), fewer cardiovascular signs (P<0.001) and fewer biopsies with eosinophilic tissue infiltrates (P=0.001). The cluster analyses generated four (model without ANCA) and five clusters (model with ANCA). Both models identified three identical clusters of 34, 39 and 40 patients according to the presence or absence of ENT, CNS and ophthalmological involvement. Peripheral neurological and cardiovascular involvement were not predictive characteristics.
CONCLUSION
Although reinforcing the known association of ANCA status with clinical manifestations, cluster analysis does not support a complete separation of EGPA in ANCA-positive and -negative subsets. Collectively, these data indicate that EGPA should be regarded as a phenotypic spectrum rather than a dichotomous disease.
期刊介绍:
The Journal of Rheumatology is a monthly international serial edited by Duncan A. Gordon, The Journal features research articles on clinical subjects from scientists working in rheumatology and related fields, as well as proceedings of meetings as supplements to regular issues. Highlights of our 36 years serving Rheumatology include: groundbreaking and provocative editorials such as "Inverting the Pyramid," renowned Pediatric Rheumatology, proceedings of OMERACT and the Canadian Rheumatology Association, Cochrane Musculoskeletal Reviews, and supplements on emerging therapies.