Performance of the 2019 ACR/EULAR Classification Criteria for IgG4-Related Disease in a Large Chinese Cohort
Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
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| Enthalten in: |
Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases - 30(2024), 2 vom: 01. März, Seite 73-78 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
An, Zhuo-Yu [VerfasserIn] |
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| Anmerkungen: |
Date Completed 21.02.2024 Date Revised 12.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1097/RHU.0000000000002057 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a CONCLUSIONS: The 2019 EULAR/ACR criteria are effective in classifying IgG4-RD in Chinese patients, demonstrating high specificity and moderate sensitivity | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Zeng, Qiao-Zhu |e verfasserin |4 aut | |
| 700 | 1 | |a Zhufeng, Yun-Zhi |e verfasserin |4 aut | |
| 700 | 1 | |a Ning, Xiao-Ran |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Hui-Juan |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Xiang-Bo |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Kun-Kun |e verfasserin |4 aut | |
| 700 | 1 | |a Bian, Wen-Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yu-Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Zhan-Guo |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yan-Ying |e verfasserin |4 aut | |
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