ACR/EULAR-endorsed study to develop Diagnostic and Classification Criteria for Vasculitis (DCVAS)

The systemic vasculitides are a group of uncommon diseases characterized by blood vessel inflammation. There are currently no diagnostic criteria for the primary systemic vasculitides and physicians must rely on experience and disease definitions. The absence of validated criteria can result in delays in making the correct diagnosis and starting appropriate therapy. With the increased understanding of the pathophysiology of vasculitis and newer diagnostic tests in widespread clinical use, it is an appropriate time for classification criteria for primary vasculitis to be revised. The Diagnostic and Classification Criteria for Vasculitis (DCVAS) study is a multinational observational study designed to develop and validate diagnostic criteria and to improve and validate classification criteria for primary systemic vasculitis. The analytic approach will be based on the traditional approach of vessel size for classification of vasculitis but will also incorporate detailed clinical data, evaluation of anti-neutrophil cytoplasm antibody diagnostic testing, biopsy and imaging data. The study is following the guidelines for the development of classification criteria established by the American College of Rheumatology and the European League against Rheumatism. The study will incorporate the use of pre-defined cases of each condition to reduce the inherent circularity when developing new classification criteria and will explore alternative approaches to deriving reference standards by creating data-driven classification algorithms. We anticipate recruiting > 2,000 patients with primary systemic vasculitis and 1,500 patients with autoimmune diseases and other conditions that mimic vasculitis. As of June 2013, > 100 medical centers across 31 countries in Asia, Australasia, Europe, North America, and South America were contributing data to the study. The DCVAS study provides a unique opportunity to increase generalizability and collate a large dataset on the occurrence, presentation, and outcome of vasculitis in different populations.