Synovial fluid dual‐biomarker algorithm accurately differentiates osteoarthritis from inflammatory arthritis

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.

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Publication Details

Journal
Journal of Orthopaedic Research®
Published
2024-12-18
DOI
https://doi.org/10.1002/jor.26005
Citations
5
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
2.35
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article

Synovial fluid dual‐biomarker algorithm accurately differentiates osteoarthritis from inflammatory arthritis

Krista Toler, Simmi Gulati, Van Thai‐Paquette, John L Miamidian et al.
5 citations
Journal of Orthopaedic Research®
Osteoarthritis Treatment and Mechanisms
2.35
article

Synovial fluid dual‐biomarker algorithm accurately differentiates osteoarthritis from inflammatory arthritis

Krista Toler, Simmi Gulati, Van Thai‐Paquette, John L Miamidian, Daniel Keter
article en
5 citations

Abstract

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.

Journal of Orthopaedic Research®Vol. 43(2)
Zimmer Biomet (United States) (US), Towson University (US)
Good health and well-being
Openalex Percentile: Top 11%
Osteoarthritis Treatment and Mechanisms
2.35
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Synovial fluid dual‐biomarker algorithm accurately differentiates osteoarthritis from inflammatory arthritis — Krista Toler, Simmi Gulati, et al. · Journal of Orthopaedic Research® (2024) | TGRS Research Map | TGRS