Skip Navigation



Rheumatology Advance Access published online on April 4, 2008

Rheumatology, doi:10.1093/rheumatology/ken079
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
47/5/708    most recent
ken079v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Liu, L.-J.
Right arrow Articles by Wang, H.-Y.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Liu, L.-J.
Right arrow Articles by Wang, H.-Y.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Evaluation of a new algorithm in classification of systemic vasculitis

L.-J. Liu, M. Chen, F. Yu, M.-H. Zhao and H.-Y. Wang

Renal Division, Department of Medicine, Peking University First Hospital, Institute of Nephrology, Peking University, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, PR China.

Correspondence to: M.-H. Zhao, Renal Division, Department of Medicine, Peking University First Hospital, Institute of Nephrology, Peking University, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing 100034, PR China. E-mail: mhzhao{at}bjmu.edu.cn


   Abstract

Objective. Recently, a new consensus algorithm for classification of ANCA-associated vasculitis (AAV) and PAN had been proposed by Watt et al. for epidemiological studies. In order to evaluate this algorithm, the current study used the algorithm to reclassify the patients with AAV and PAN in our centre.

Methods. Five hundred and fifty Chinese patients with primary systemic vasculitis diagnosed in our referral diagnostic centre during the past 10 years were retrospectively studied. Four hundred and ninety-three out of 550 were ANCA positive. We compared the new consensus algorithm and the 1994 Chapel Hill Consensus Conference (CHCC) definitions supplemented with surrogate parameters, in the same cohort of patients with primary systemic vasculitis.

Results. Applying the CHCC definitions with surrogate parameters, the diagnoses were Churg–Strauss syndrome (CSS) (n = 0), WG (n = 127), microscopic polyangiitis (MPA) (n = 363), PAN (n = 4) and unclassified (n = 56). Using the new consensus algorithm, the diagnoses were CSS (n = 2), WG (n = 199), MPA (n = 329), PAN (n = 0) and unclassified (n = 20).

Conclusions. Watts’ algorithm was a useful method to classify patients into a single category, with less unclassified patients and without overlapping diagnosis, which allows their use in epidemiological studies.

KEY WORDS: Systemic vasculitis, Classification, Nomenclature, Chapel Hill Consensus Conference

Submitted 4 November 2007; revised version accepted 31 January 2008.
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.