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Performance of the 2019 ACR/EULAR Classification Criteria for IgG4-Related Disease in a Large Chinese Cohort.
An, Zhuo-Yu; Fu, Jiang-Nan; Zeng, Qiao-Zhu; Zhufeng, Yun-Zhi; Ning, Xiao-Ran; Li, Hui-Juan; Ma, Xiang-Bo; Wang, Kun-Kun; Bian, Wen-Jie; Zhang, Yu-Xin; Li, Zhan-Guo; Liu, Yan-Ying.
Affiliation
  • An ZY; From the Department of Rheumatology and Immunology, Peking University People's Hospital.
  • Fu JN; From the Department of Rheumatology and Immunology, Peking University People's Hospital.
  • Zeng QZ; From the Department of Rheumatology and Immunology, Peking University People's Hospital.
  • Zhufeng YZ; Department of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, Beijing.
  • Ning XR; Department of Rheumatology and Immunology, People's Hospital of Hebei Province, Shijiazhuang.
  • Li HJ; Department of Rheumatology and Immunology, Handan First Hospital, Handan.
  • Ma XB; Department of Rheumatology and Immunology, Handan First Hospital, Handan.
  • Wang KK; Department of Rheumatology and Immunology, Tengzhou Central People's Hospital, Tengzhou, China.
  • Bian WJ; From the Department of Rheumatology and Immunology, Peking University People's Hospital.
  • Zhang YX; From the Department of Rheumatology and Immunology, Peking University People's Hospital.
  • Liu YY; Department of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, Beijing.
J Clin Rheumatol ; 30(2): 73-78, 2024 Mar 01.
Article in En | MEDLINE | ID: mdl-38268091
ABSTRACT

OBJECTIVE:

The purpose of this research was to ascertain the effectiveness of the newly established criteria for classifying IgG4-related disease (IgG4-RD), as applied to a large Chinese cohort in real-world clinical settings.

METHODS:

Patient data were procured from the digital health records of 4 prominent academic hospitals. The criterion standard for identifying IgG4-RD patients was from a seasoned rheumatologist. The control group consisted of individuals with other ailments such as cancer, other forms of pancreatitis, infectious diseases, and illnesses that mimic IgG4-RD.

RESULTS:

A total of 605 IgG4-RD patients and 760 mimickers were available for analysis. The 2019 EULAR/ACR criteria have a sensitivity of 69.1% and a specificity of 90.9% in this large Chinese cohort. IgG4-RD had a greater proportion of males (55.89% vs 36.25%, p < 0.001), an older average age at diagnosis (54.91 ± 13.44 vs 48.91 ± 15.71, p < 0.001), more pancreatic (29.59% vs 6.12%, p < 0.001) and salivary gland (63.30% vs 27.50%, p < 0.001) involvement, and a larger number of organ involvement (3.431 ± 2.054 vs 2.062 ± 1.748, p < 0.001) compared with mimickers.

CONCLUSIONS:

The 2019 EULAR/ACR criteria are effective in classifying IgG4-RD in Chinese patients, demonstrating high specificity and moderate sensitivity.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatitis / Immunoglobulin G4-Related Disease Type of study: Prognostic_studies Limits: Female / Humans / Male Country/Region as subject: Asia Language: En Journal: J Clin Rheumatol Journal subject: FISIOLOGIA / ORTOPEDIA / REUMATOLOGIA Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatitis / Immunoglobulin G4-Related Disease Type of study: Prognostic_studies Limits: Female / Humans / Male Country/Region as subject: Asia Language: En Journal: J Clin Rheumatol Journal subject: FISIOLOGIA / ORTOPEDIA / REUMATOLOGIA Year: 2024 Document type: Article Country of publication: