医学
抗磷脂综合征
内科学
狼疮抗凝剂
痹症科
金标准(测试)
队列
物理疗法
血栓形成
作者
Medha Barbhaiya,Stéphane Zuily,Ray Naden,Alison Hendry,Florian Manneville,Mary‐Carmen Amigo,Zahir Amoura,Danieli Andrade,Laura Andréoli,Bahar Artım-Esen,Tatsuya Atsumi,Tadej Avčin,H. Michael Belmont,María Laura Bertolaccini,D. Ware Branch,Graziela Carvalheiras,Alessandro Casini,Ricard Cervera,Hannah Cohen,N. Costedoat‐Chalumeau
标识
DOI:10.1136/ard-2023-224609
摘要
Objective
To develop new antiphospholipid syndrome (APS) classification criteria with high specificity for use in observational studies and trials, jointly supported by the American College of Rheumatology (ACR) and EULAR. Methods
This international multidisciplinary initiative included four phases: (1) Phase I, criteria generation by surveys and literature review; (2) Phase II, criteria reduction by modified Delphi and nominal group technique exercises; (3) Phase III, criteria definition, further reduction with the guidance of real-world patient scenarios, and weighting via consensus-based multicriteria decision analysis, and threshold identification; and (4) Phase IV, validation using independent adjudicators' consensus as the gold standard. Results
The 2023 ACR/EULAR APS classification criteria include an entry criterion of at least one positive antiphospholipid antibody (aPL) test within 3 years of identification of an aPL-associated clinical criterion, followed by additive weighted criteria (score range 1–7 points each) clustered into six clinical domains (macrovascular venous thromboembolism, macrovascular arterial thrombosis, microvascular, obstetric, cardiac valve, and hematologic) and two laboratory domains (lupus anticoagulant functional coagulation assays, and solid-phase enzyme-linked immunosorbent assays for IgG/IgM anticardiolipin and/or IgG/IgM anti–β2-glycoprotein I antibodies). Patients accumulating at least three points each from the clinical and laboratory domains are classified as having APS. In the validation cohort, the new APS criteria vs the 2006 revised Sapporo classification criteria had a specificity of 99% vs 86%, and a sensitivity of 84% vs 99%. Conclusion
These new ACR/EULAR APS classification criteria were developed using rigorous methodology with multidisciplinary international input. Hierarchically clustered, weighted, and risk-stratified criteria reflect the current thinking about APS, providing high specificity and a strong foundation for future APS research.
科研通智能强力驱动
Strongly Powered by AbleSci AI