Keter Daniel, Thai-Paquette Van, Miamidian John, Gulati Simmi, Toler Krista
Research and Development, CD Diagnostics, A Division of Zimmer Biomet, Claymont, Delaware, USA.
CD Laboratories, Towson, Maryland, USA.
J Orthop Res. 2025 Feb;43(2):304-310. doi: 10.1002/jor.26005. Epub 2024 Dec 18.
Osteoarthritis (OA) prevalence increases as the population ages. Diagnosing osteoarthritis often occurs in the late stages when cartilage degradation is severe, making it difficult to distinguish from other types of arthritis. Accurate differentiation of primary osteoarthritis from other arthritic conditions is crucial for effective treatment planning. A new diagnostic test has been developed that uses a dual-biomarker algorithm to inform osteoarthritis diagnosis. Synovial fluid from patients with confirmed primary osteoarthritis showed elevated levels of cartilage oligomeric matrix protein. However, this biomarker alone could not distinguish primary osteoarthritis from other inflammatory conditions that also cause cartilage deterioration. Therefore, a combinatorial algorithm using cartilage oligomeric matrix protein and Interleukin-8 concentrations was developed to differentiate primary osteoarthritis from inflammatory arthritis. Clinical decision limits for cartilage oligomeric matrix protein concentration and the cartilage oligomeric matrix protein to Interleukin-8 ratio were established and validated using 171 human knee synovial fluid specimens. The osteoarthritis algorithm demonstrated clinical sensitivity and specificity of 87.0% and 88.9%, respectively. This is the first report of a biomarker test that can differentiate primary osteoarthritis from inflammatory arthritis with a high degree of accuracy.
骨关节炎(OA)的患病率随着人口老龄化而增加。骨关节炎的诊断通常在软骨退化严重的晚期进行,这使得它难以与其他类型的关节炎区分开来。准确区分原发性骨关节炎与其他关节炎病症对于有效的治疗规划至关重要。已经开发出一种新的诊断测试,该测试使用双生物标志物算法来辅助骨关节炎的诊断。确诊为原发性骨关节炎的患者的滑液显示软骨寡聚基质蛋白水平升高。然而,仅靠这种生物标志物无法将原发性骨关节炎与其他也会导致软骨退化的炎症性病症区分开来。因此,开发了一种使用软骨寡聚基质蛋白和白细胞介素-8浓度的组合算法,以区分原发性骨关节炎和炎症性关节炎。使用171份人类膝关节滑液标本建立并验证了软骨寡聚基质蛋白浓度以及软骨寡聚基质蛋白与白细胞介素-8比值的临床决策界限。骨关节炎算法的临床敏感性和特异性分别为87.0%和88.9%。这是关于一种能够高度准确地区分原发性骨关节炎和炎症性关节炎的生物标志物测试的首次报告。