Report of the First International Consensus on Standardized Nomenclature of Antinuclear Antibody HEp-2 Cell Patterns 2014–2015

Edward K. L. Chan(University of Florida), Jan Damoiseaux(Maastricht University), Orlando Gabriel Carballo(El Hospital General de Agudos Carlos G. Durand), Karsten Conrad(TU Dresden), Wilson de Melo Cruvinel(Pontifícia Universidade Católica de Goiás), Paulo Luiz Carvalho Francescantônio(Pontifícia Universidade Católica de Goiás), Marvin J. Fritzler(University of Calgary), Ignacio Garcı́a-De La Torre(Universidad de Guadalajara), Manfred Herold(Innsbruck Medical University), Tsuneyo Mimori(Kyoto University), Minoru Satoh(University of Occupational and Environmental Health Japan), Carlos Alberto von Mühlen(Brazilian Computer Society), Luís Eduardo Coelho Andrade(Fleury S.A. (Brazil))
Frontiers in Immunology
August 20, 2015
Cited by 372Open Access
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Abstract

During the 12th International Workshop on Autoantibodies and Autoimmunity held in Sao Paulo, Brazil, on August 28, 2014, a full day session was devoted to establishing a consensus on the nomenclature of staining patterns observed in the antinuclear antibody (ANA) indirect immunofluorescence test on HEp-2 cells. The current report summarizes the collective agreements with input from the host Brazilian and international communities that represented research, clinical, and diagnostic service laboratories. Patterns are categorized in three major groups (nuclear, cytoplasmic, and mitotic patterns) and each pattern has been defined and described in detail. The consensus nomenclature and representative patterns are made available online at the international consensus on antinuclear antibody pattern (ICAP) website (www.ANApatterns.org). To facilitate continuous improvement and input, specific comments on ICAP are encouraged and these will be discussed in subsequent ICAP meetings. The ultimate goal with the establishment of the ICAP is to promote harmonization and understanding of autoantibody test nomenclature, as well as interpretation guidelines for ANA testing, thereby optimizing usage in patient care.


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