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Revisiting the classification of clinical phenotypes of anti-neutrophil cytoplasmic antibody-associated vasculitis: a cluster analysis

Mahr, Alfred ; Katsahian, Sandrine ; Varet, Hugo ; Guillevin, Loic ; Hagen, E. Christiaan ; Hoglund, Peter ; Merkel, Peter A. ; Pagnoux, Christian ; Rasmussen, Niels and Westman, Kerstin LU , et al. (2013) In Annals of the Rheumatic Diseases 72(6). p.1003-1010
Abstract
Background Granulomatosis with polyangiitis (Wegener's) (GPA) and microscopic polyangiitis (MPA) are subgroups of anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) defined historically by clinical and histological features. GPA and MPA are heterogeneous entities with overlapping phenotypes. To identify novel subgroupings, cluster analysis was used to explore the phenotypic spectrum of AAV. Methods This study used a dataset of patients newly diagnosed as having GPA and MPA enrolled in five clinical trials. One cluster model included nine clinical baseline variables as input variables, and a second cluster model additionally included ANCA specificities. The clustering process involved multiple correspondence analyses... (More)
Background Granulomatosis with polyangiitis (Wegener's) (GPA) and microscopic polyangiitis (MPA) are subgroups of anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) defined historically by clinical and histological features. GPA and MPA are heterogeneous entities with overlapping phenotypes. To identify novel subgroupings, cluster analysis was used to explore the phenotypic spectrum of AAV. Methods This study used a dataset of patients newly diagnosed as having GPA and MPA enrolled in five clinical trials. One cluster model included nine clinical baseline variables as input variables, and a second cluster model additionally included ANCA specificities. The clustering process involved multiple correspondence analyses followed by hierarchical ascendant cluster analysis. The clinical relevance of the generated clusters was analysed by their summary characteristics and outcomes. Results The analyses involved data for 673 subjects: 396 (59%) with GPA and 277 (41%) with MPA. Both cluster models resulted in five partially redundant clusters of subjects, and the model including ANCA resulted in more pertinent separations. These clusters were named 'renal AAV with proteinase 3 (PR3)-ANCA' (40% of subjects), 'renal AAV without PR3-ANCA' (32%) and 'non-renal AAV' (12%), 'cardiovascular AAV' (9%) and 'gastrointestinal AAV' (7%). The five clusters had distinct death and relapse rates. On the basis of 4 variables, 651 subjects (97%) could be accurately allocated to 1 of the 5 classes. Conclusions This analysis suggests that AAV encompasses five classes associated with different outcomes. As compared with the traditional GPA-MPA separation, this classification system may better reflect the phenotypic spectrum of AAV. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Annals of the Rheumatic Diseases
volume
72
issue
6
pages
1003 - 1010
publisher
BMJ Publishing Group
external identifiers
  • wos:000318907100041
  • scopus:84877629911
  • pmid:22962314
ISSN
1468-2060
DOI
10.1136/annrheumdis-2012-201750
language
English
LU publication?
yes
id
95aa4aa7-e0cf-42f9-8b62-71ec512d5e07 (old id 3932458)
date added to LUP
2016-04-01 14:54:47
date last changed
2022-04-22 05:47:13
@article{95aa4aa7-e0cf-42f9-8b62-71ec512d5e07,
  abstract     = {{Background Granulomatosis with polyangiitis (Wegener's) (GPA) and microscopic polyangiitis (MPA) are subgroups of anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) defined historically by clinical and histological features. GPA and MPA are heterogeneous entities with overlapping phenotypes. To identify novel subgroupings, cluster analysis was used to explore the phenotypic spectrum of AAV. Methods This study used a dataset of patients newly diagnosed as having GPA and MPA enrolled in five clinical trials. One cluster model included nine clinical baseline variables as input variables, and a second cluster model additionally included ANCA specificities. The clustering process involved multiple correspondence analyses followed by hierarchical ascendant cluster analysis. The clinical relevance of the generated clusters was analysed by their summary characteristics and outcomes. Results The analyses involved data for 673 subjects: 396 (59%) with GPA and 277 (41%) with MPA. Both cluster models resulted in five partially redundant clusters of subjects, and the model including ANCA resulted in more pertinent separations. These clusters were named 'renal AAV with proteinase 3 (PR3)-ANCA' (40% of subjects), 'renal AAV without PR3-ANCA' (32%) and 'non-renal AAV' (12%), 'cardiovascular AAV' (9%) and 'gastrointestinal AAV' (7%). The five clusters had distinct death and relapse rates. On the basis of 4 variables, 651 subjects (97%) could be accurately allocated to 1 of the 5 classes. Conclusions This analysis suggests that AAV encompasses five classes associated with different outcomes. As compared with the traditional GPA-MPA separation, this classification system may better reflect the phenotypic spectrum of AAV.}},
  author       = {{Mahr, Alfred and Katsahian, Sandrine and Varet, Hugo and Guillevin, Loic and Hagen, E. Christiaan and Hoglund, Peter and Merkel, Peter A. and Pagnoux, Christian and Rasmussen, Niels and Westman, Kerstin and Jayne, David R. W.}},
  issn         = {{1468-2060}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{1003--1010}},
  publisher    = {{BMJ Publishing Group}},
  series       = {{Annals of the Rheumatic Diseases}},
  title        = {{Revisiting the classification of clinical phenotypes of anti-neutrophil cytoplasmic antibody-associated vasculitis: a cluster analysis}},
  url          = {{http://dx.doi.org/10.1136/annrheumdis-2012-201750}},
  doi          = {{10.1136/annrheumdis-2012-201750}},
  volume       = {{72}},
  year         = {{2013}},
}