Aravinthan Loganathan, Giovanni Zanframundo, Akira Yoshida, Sara Faghihi-Kashani, Iazsmin Bauer Ventura, Eduardo Dourado, Francisca Bozan, Gianluca Sambataro, Yasuhiko Yamano, Sharon Sangmee Bae, Darosa Lim, Angela Ceribelli, Natasa Isailovic, Carlo Selmi, Noreen Fertig, Elena Bravi, Yuko Kaneko, André Pinto Saraiva, Vega Jovani, Javier Bachiller-Corral, Jose Cifrian, Antonio Mera-Varela, Siamak Moghadam-Kia, Veronica Wolff, Julien Campagne, Alain Meyer, Margherita Giannini, Konstantinos Triantafyllias, Johannes Knitza, Latika Gupta, Yair Molad, Florenzo Iannone, Ilaria Cavazzana, Matteo Piga, Giacomo De Luca, Sarah Tansley, Emanuele Bozzalla-Cassione, Francesco Bonella, Tamera J Corte, Tracy J Doyle, David Fiorentino, Miguel Angel Gonzalez-Gay, Marie Hudson, Masataka Kuwana, Ingrid E Lundberg, Andrew L Mammen, Neil John McHugh, Fredrick W Miller, Carlomaurizio Montecucco, Chester V Oddis, Jorge Rojas-Serrano, Jens Schmidt, Carlo Alberto Scirè, Albert Selva-O'Callaghan, Victoria P Werth, Claudia Alpini, Sara Bozzini, Lorenzo Cavagna, Rohit Aggarwal
OBJECTIVES: The CLASS (Classification Criteria of Anti-Synthetase Syndrome) project is a large international multicentre study that aims to create the first data-driven anti-synthetase syndrome (ASSD) classification criteria. Identifying anti-aminoacyl tRNA synthetase antibodies (anti-ARS) is crucial for diagnosis, and several commercial immunoassays are now available for this purpose. However, using these assays risks yielding false-positive or false-negative results, potentially leading to misdiagnosis...
February 2024: Clinical and Experimental Rheumatology