The role of multicriteria decision analysis in the development of candidate classification criteria for antisynthetase syndrome: analysis from the CLASS project

• DOI: 10.1016/j.ard.2025.01.050
• Publication Date: 2025-03-18T20:25:38Z
• Authors: Giovanni Zanframundo; Eduardo Dourado; Iazsmin Bauer-Ven...; Sara Faghihi-Kashani; Akira Yoshida; Aravinthan Logana...; Daphne Rivero-Gal...; Darosa Lim; Francisca Bozán; Gianluca Sambataro; Sangmee Sharon Bae; Yasuhiko Yamano; Francesco Bonella; Tamera J. Corte; Tracy Jennifer Doyle; David Fiorentino; Miguel Angel Gonz...; Marie Hudson; Masataka Kuwana; Ingrid E. Lundberg; Andrew Mammen; Neil McHugh; Frederick W. Miller; Carlomaurizio Mon...; Chester V. Oddis; Jorge Rojas-Serrano; Jens Schmidt; Albert Selva-O'Ca...; Victoria P. Werth; Paul Hansen; Davide Rozza; Carlo A. Scirè; Garifallia Sakell...; Yuko Kaneko; Konstantinos Tria...; Santos Castañeda; Maria Laura Alberti; Martín Gerardo Gr...; Christopher Fiehn; Yair Molad; Marcello Govoni; Ran Nakashima; Erkan Alpsoy; Margherita Giannini; Hector Chinoy; Laure Gallay; Esther Ebstein; Julien Campagne; André Pinto Saraiva; Edoardo Conticini; Gian Domenico Seb...; Laura Nuño-Nuño; Salvatore Scarpato; Elena Schiopu; Matthew Parker; Massimiliano Limonta; Lorenzo Cavagna; Rohit Aggarwal
• Keywords: Antisynthetase syndrome

To develop and evaluate the performance of multicriteria decision analysis (MCDA)-driven candidate classification criteria for antisynthetase syndrome (ASSD). A list variables associated with ASSD was developed using a systematic literature review then refined into an key domains by myositis interstitial lung disease (ILD) experts. This used to create preferences surveys in which experts were presented pairwise comparisons clinical vignettes asked select case that more likely represent ASSD. Experts' answers analysed Potentially All Pairwise RanKings all possible Alternatives method determine weights formulate MCDA-based criteria. Clinical scored as consensus cases or controls real-world data collected participating centres test receiver operating characteristic curves diagnostic accuracy metrics. Positivity antibodies had highest weight classification. The highest-ranked manifestation ILD, followed myositis, mechanic's hands, joint involvement, inflammatory rashes, Raynaud phenomenon, fever, pulmonary hypertension. achieved high areas under curve when applied patient data. Sensitivities, specificities, positive negative predictive values >80%. MCDA-driven consistent published yielded validity.