Development of a New International Antiphospholipid Syndrome Classification Criteria Phase I/II Report: Generation and Reduction of Candidate Criteria. Issue 10 (2nd September 2021)

• Record Type: Journal Article
• Authors: Barbhaiya, Medha; Zuily, Stephane; Ahmadzadeh, Yasaman; Amigo, Mary‐Carmen; Avcin, Tadej; Bertolaccini, Maria Laura; Branch, D. Ware; de Jesus, Guilherme; Devreese, Katrien M. J.; Frances, Camille; Garcia, David; Guillemin, Francis; Levine, Steven R.; Levy, Roger A.; Lockshin, Michael D.; Ortel, Thomas L.; Seshan, Surya V.; Tektonidou, Maria; Wahl, Denis; Willis, Rohan; Naden, Ray; Costenbader, Karen; Erkan, Doruk
• Other Names: Agmon‐Levin Nancy investigator.; Aguilar Cassyanne investigator.; Alba Paula investigator.; Alpan Oral investigator.; Ambrozic Ales investigator.; Amoura Zahir investigator.; Andrade Danieli investigator.; Andrade Luis investigator.; Appenzeller Simone investigator.; Esen Bahar Artim investigator.; Atsumi Tatsuya investigator.; Berkun Yackov investigator.; Cabral Antonio investigator.; Canaud Guillaume investigator.; Cervera Ricard investigator.; Chen Pojen investigator.; Chighizola Cecilia investigator.; Cimaz Rolando investigator.; Cohen Hannah investigator.; Costedoat‐Chalumeau Nathalie investigator.; Crowther Mark investigator.; Cuadrado Maria Jose investigator.; de Groot Philip G. investigator.; de Moerloose Philippe investigator.; Derksen Ronald investigator.; Diz‐Kucukkaya Reyhan investigator.; Dörner Thomas investigator.; Fortin Paul investigator.; Giannakopoulos Bill investigator.; Gómez‐Puerta Jose A. investigator.; Gonzalez Emilio B. investigator.; Inanc Murat investigator.; Kenet Gili investigator.; Khamashta Munther investigator.; Kriegel Martin investigator.; Krilis Steven investigator.; Laskin Carl investigator.; Massicotte Patti investigator.; McCarty Gale investigator.; Meroni Pier Luigi investigator.; Mikdashi Jamal investigator.; Myones Barry investigator.; Pengo Vittorio investigator.; Petri Michelle investigator.; Roubey Robert investigator.; Sammaritano Lisa investigator.; Sanna Giovanni investigator.; Sciascia Savino investigator.; Signorelli Flavio investigator.; Soybilgic Arzu investigator.; Tincani Angela investigator.; Woller Scott investigator.; Yelnik Cécile investigator.;
• Is Part Of: Arthritis care & research. Volume 73:Issue 10(2021)
• Page Start: 1490
• Page End: 1501
• Publication Date: 2021-09-02
• Subjects: Arthritis -- Periodicals; Rheumatism -- Periodicals; 616.72
• DOI: 10.1002/acr.24520
• Languages: English
• ISSNs: 2151-464X

Abstract

Abstract : Objective: An international multidisciplinary initiative, jointly supported by the American College of Rheumatology and European Alliance of Associations for Rheumatology, is underway to develop new rigorous classification criteria to identify patients with high likelihood of antiphospholipid syndrome (APS) for research purposes. The present study was undertaken to apply an evidence‐ and consensus‐based approach to identify candidate criteria and develop a hierarchical organization of criteria within domains. Methods: During phase I, the APS classification criteria steering committee used systematic literature reviews and surveys of international APS physician scientists to generate a comprehensive list of items related to APS. In phase II, we reviewed the literature, administered surveys, formed domain subcommittees, and used Delphi exercises and nominal group technique to reduce potential APS candidate criteria. Candidate criteria were hierarchically organized into clinical and laboratory domains. Results: Phase I generated 152 candidate criteria, expanded to 261 items with the addition of subgroups and candidate criteria with potential negative weights. Using iterative item reduction techniques in phase II, we initially reduced these items to 64 potential candidate criteria organized into 10 clinical and laboratory domains. Subsequent item reduction methods resulted in 27 candidate criteria, hierarchically organized into 6 additive domains (laboratory, macrovascular, microvascular, obstetric, cardiac, and hematologic) for APS classification. Conclusion: Using data‐ and consensus‐driven methodology, we identified 27 APS candidate criteria in 6 clinical or laboratory domains. In the next phase, the proposed candidate criteria will be used for real‐world case collection and further refined, organized, and weighted to determine an aggregate score and threshold for APS classification.