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Choi, Hyon

0000-0002-2862-0442

Mayo Clinic

Massachusetts General Hospital, Boston.

Citations 2

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.
Disease Activity, Antineutrophil Cytoplasmic Antibody Type, and Lipid Levels in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis
Wallace, Zachary S. , Liao, Katherine P. , Kallenberg, Cees G. M., Langford, Carol A. , Clair, E. William St. , Zhang, Yuqing , Stone, John H. , Liao, Katherine , Choi, Hyon , Fu, Xiaoqing , Merkel, Peter A. , Monach, Paul A. , Seo, Philip , Specks, Ulrich , Spiera, Robert , Choi, Hyon K.

Arthritis & Rheumatology | June 4, 2019 | Volume: 71 | Issue: 11 | Pages: 1879-1887

10.1002/art.41006 Get It

ObjectivePatients with antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) have an elevated risk of cardiovascular disease (CVD). This study was undertaken to develop a clearer understanding of the association between changes in disease activity and lipid levels in AAV, which may inform CVD risk stratification in this population.MethodsLipid levels were assessed in stored serum samples (obtained at baseline and month 6) from the Rituximab for ANCA‐Associated Vasculitis (RAVE) trial, which randomized patients to receive either rituximab or cyclophosphamide followed by azathioprine. Paired t‐tests and multivariable linear regression were used to assess changes in lipid levels.ResultsOf the 142 patients with serum samples available, the mean ± SD age was 52.3 ± 14.7 years, 72 (51%) were male, 95 (67%) were proteinase 3 (PR3)–ANCA positive, 72 (51%) had received a new diagnosis of AAV, and 75 (53%) were treated with rituximab. Several lipid levels increased between baseline and month 6, including total cholesterol (+12.4 mg/dl [95% confidence interval (95% CI) +7.1, +21.0]), low‐density lipoprotein (+10.3 mg/dl [95% CI +6.1, +17.1]), and apolipoprotein B (+3.5 mg/dl [95% CI +1.0, +8.3]). These changes were observed among newly diagnosed and PR3‐ANCA–positive patients but not among those with relapsing disease or myeloperoxidase‐ANCA–positive patients. There was no difference in change in lipid levels between rituximab‐treated patients and cyclophosphamide‐treated patients. Changes in lipid levels correlated with changes in erythrocyte sedimentation rate but not with other inflammatory markers or glucocorticoid exposure.ConclusionLipid levels increased during remission induction among patients with newly diagnosed AAV and those who were PR3‐ANCA positive. Disease activity and ANCA type should be considered when assessing lipid profiles to stratify CVD risk in patients with AAV.