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Naden, Ray

Mayo Clinic

Auckland City Hospital

Citations 2

The 2023 ACR / EULAR Antiphospholipid Syndrome Classification Criteria
Barbhaiya, Medha , Zuily, Stéphane , Naden, Ray, Hendry, Alison , Manneville, Florian , Amigo, Mary‐Carmen , Amoura, Zahir , Andréoli, Laura , Artım-Esen, Bahar , Atsumi, Tatsuya , Avčin, Tadej , Branch, D. Ware , Carvalheiras, Graziela , Cohen, Hannah , Jesús, Guilherme Ramires de , Desai, Sheetal , Sancho, Maria De, Küçükkaya, Reyhan Diz , Françès, Camille, García, David , Jordan, Natasha, Leaf, Rebecca Karp , Kello, Nina , Laskin, Carl A. , Lee, Alfred Ian , Legault, Kimberly, Levine, Steve, Limper, Maarten , Lockshin, Michael D. , Mayer-Pickel, K , Musial, Jack, Orsolini, Giovanni , Ortel, Thomas L. , Petri, Michelle , Gómez‐Puerta, José A. , Raimboug, Quentin, Roubey, Robert, Seshan, Surya V. , Tektonidou, Maria G. , Wahl, Denis , Willis, Rohan , Zuily, Catherine, Costenbader, Karen H. , Erkan, Doruk , Collaborators, the ACR/EULAR APS Classification Criteria, Andreoli, Laura , Avcin, Tadej , de Jesus, Guilherme , Duarte-García, Alí , Petri, Michelle , Pons-Estel, Guillermo , Gomez-Puerta, Jose A , Sciascia, Savino , Tektonidou, Maria G , Yelnik, Cecile , Costenbader, Karen , Erkan, Doruk , Cohen, Hannah , Andrade, Danieli , Belmont, H. Michael , Bertolaccini, Maria Laura , Casini, Alessandro , Cervera, Ricard , Costedoat-Chalumeau, Nathalie , Crowther, Mark Andrew , Delluc, Aurélien , Devreese, Katrien M.J. , Duarte‐García, Alí , Françès, C. , Gris, Jean‐Christophe , Knight, Jason S , Levy, Roger A. , Meroni, PierLuigi , Pengo, Vittorio , Pons‐Estel, Guillermo , Sanna, Giovanni , Sciascia, Savino , Tincani, Anǵela , Guillemin, Francis , Collaborators, the ACR/EULAR APS Classification Criteria

Arthritis & Rheumatology | August 28, 2023 | Volume: 75 | Issue: 10 | Pages: 1687-1702

10.1002/art.42624 Get It

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 4 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 6 clinical domains (macrovascular venous thromboembolism, macrovascular arterial thrombosis, microvascular, obstetric, cardiac valve, and hematologic) and 2 laboratory domains (lupus anticoagulant functional coagulation assays, and solid‐phase enzyme‐linked immunosorbent assays for IgG/IgM anticardiolipin and/or IgG/IgM anti–β 2 ‐glycoprotein I antibodies). Patients accumulating at least 3 points each from the clinical and laboratory domains are classified as having APS. In the validation cohort, the new APS criteria versus the 2006 revised Sapporo classification criteria had a specificity of 99% versu s 86%, and a sensitivity of 84% versus 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.
The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4‐Related Disease
Wallace, Zachary S. , Naden, Ray, Chari, Suresh T. , Choi, Hyon K. , Della‐Torre, Emanuel, Dicaire, Jean‐Francois, Hart, Phil A. , Inoue, Dai , Khosroshahi, Arezou , Lanzillotta, Marco , Okazaki, Kazuichi , Perugino, Cory A. , Saeki, Takako , Sekiguchi, Hiroshi , Schleinitz, N. , Stone, James R. , Takahashi, Naoki , Umehara, Hisanori , Webster, George, Zen, Yoh , Stone, John H. , Culver, Emma , Frulloni, Luca , Lerch, Markus M. , Matsui, Shoko , Rosenbaum, James T. , Chari, Suresh, Choi, Hyon , Stone, John H , Takahashi, Naoki , Chari, Suresh T , Della‐Torre, Emanuel , Kawano, Mitsuhiro , Kubota, Kensuke , Sharma, Amita

Arthritis & Rheumatology | December 3, 2019 | Volume: 72 | Issue: 1 | Pages: 7-19

10.1002/art.41120 Get It

Objective IgG4‐related disease (IgG4‐ RD ) can cause fibroinflammatory lesions in nearly any organ. Correlation among clinical, serologic, radiologic, and pathologic data is required for diagnosis. This work was undertaken to develop and validate an international set of classification criteria for IgG4‐ RD . Methods An international multispecialty group of 86 physicians was assembled by the American College of Rheumatology ( ACR ) and the European League Against Rheumatism ( EULAR ). Investigators used consensus exercises, existing literature, derivation and validation cohorts of 1,879 subjects (1,086 cases, 793 mimickers), and multicriterion decision analysis to identify, weight, and test potential classification criteria. Two independent validation cohorts were included. Results A 3‐step classification process was developed. First, it must be demonstrated that a potential IgG4‐ RD case has involvement of at least 1 of 11 possible organs in a manner consistent with IgG4‐ RD . Second, exclusion criteria consisting of a total of 32 clinical, serologic, radiologic, and pathologic items must be applied; the presence of any of these criteria eliminates the patient from IgG4‐ RD classification. Third, 8 weighted inclusion criteria domains, addressing clinical findings, serologic results, radiology assessments, and pathology interpretations, are applied. In the first validation cohort, a threshold of 20 points had a specificity of 99.2% (95% confidence interval [95% CI ] 97.2–99.8%) and a sensitivity of 85.5% (95% CI 81.9–88.5%). In the second, the specificity was 97.8% (95% CI 93.7–99.2%) and the sensitivity was 82.0% (95% CI 77.0–86.1%). The criteria were shown to have robust test characteristics over a wide range of thresholds. Conclusion ACR / EULAR classification criteria for IgG4‐ RD have been developed and validated in a large cohort of patients. These criteria demonstrate excellent test performance and should contribute substantially to future clinical, epidemiologic, and basic science investigations.