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AB0701 Comparison of the new acr/eular classification criteria of anca-associated vasculitis with the ema algorithm in classification of vasculitis

Objectives A new set of classification criteria for ANCA-associated vasculitis (AAV) was presented in 2017’s ACR annual scientific meeting. In order to evaluate this new set of classification, we conducted the current study to compare it with the EMA’s consensus algorithm for classification of systemic vasculitis proposed by Watt et al. in our centre. Methods One hundred and twenty-two Chinese patients with clinically diagnosed as AAV in our centre during the past 15 years were retrospectively studied. We compared the new set of ACR/EULAR’s classification criteria for AAV, with the EMA’s consensus algorithm with surrogate parameters, in the same cohort of patients with primary systemic vasculitis. Results Applying the EMA’s consensus algorithm with surrogate parameters, the diagnoses were EGPA (n.3), GPA (n.55), microscopic polyangiitis (MPA) (n.47), drug related AAV (n.2), and unclassified (n.5). Using the new ACR/EULAR’s classification criteria for AAV, the diagnoses were EGPA (n.8), GPA (n.33), MPA (n.65), overlap with EGPA and GPA (n.2), overlap with GPA and MPA (n.8), and unclassified (n.7) (See the below picture).Abstract AB0701 – Figure 1 Conclusions The new 2017 ACR/EULAR classification criteria for AAV and Watts’ algorithm were all useful methods to classify patients with systemic vasculitis. The Watts’ algorithm can classify all patients into a single category, with more GPA patients, less unclassified patients and without overlapping diagnosis, in comparison, the new 2017 ACR/EULAR classification criteria classified more MPA patients, more unclassified and more overlapping patients. Disclosure of Interest None declared