| Autor: |
Byeongzu Ghang, So Hye Nam, Wonho Choi, Hwa Jung Kim, Jungsun Lee, Doo-Ho Lim, Soo Min Ahn, Ji Seon Oh, Seokchan Hong, Yong-Gil Kim, Chang-Keun Lee, Jinseok Kim, Bin Yoo, Soo Jeong Nam |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1478-6362 |
| DOI: |
10.1186/s13075-024-03364-z |
| Popis: |
Abstract Background To develop an inflammation-related immunohistochemistry marker-based algorithm that confers higher diagnostic ability for idiopathic inflammatory myopathies (IIMs) than IIM-related histopathologic features. Methods Muscle biopsy tissues from 129 IIM patients who met the 2017 EULAR/ACR criteria and 73 control tissues from patients with non-inflammatory myopathies or healthy muscle specimens were evaluated for histological features and immunostaining results of CD3, CD4, CD8, CD20, CD68, CD163, MX1, MHC class I, MHC class II, and HLA-DR. Diagnostic algorithms for IIM were developed based on the results of the classification and regression tree (CART) analysis, which used immunostaining results as predictor variables for classifying patients with IIMs. Results In the analysis set (IIM, n = 129; control, n = 73), IIM-related histopathologic features had a diagnostic accuracy of 87.6% (sensitivity 80.6%; specificity 100.0%) for IIMs. Notably, muscular expression of CD163 (99.2% vs. 20.8%, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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