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Bone & Joint Research
Vol. 9, Issue 9 | Pages 623 - 632
5 Sep 2020
Jayadev C Hulley P Swales C Snelling S Collins G Taylor P Price A

Aims

The lack of disease-modifying treatments for osteoarthritis (OA) is linked to a shortage of suitable biomarkers. This study combines multi-molecule synovial fluid analysis with machine learning to produce an accurate diagnostic biomarker model for end-stage knee OA (esOA).

Methods

Synovial fluid (SF) from patients with esOA, non-OA knee injury, and inflammatory knee arthritis were analyzed for 35 potential markers using immunoassays. Partial least square discriminant analysis (PLS-DA) was used to derive a biomarker model for cohort classification. The ability of the biomarker model to diagnose esOA was validated by identical wide-spectrum SF analysis of a test cohort of ten patients with esOA.


The Journal of Bone & Joint Surgery British Volume
Vol. 91-B, Issue 11 | Pages 1537 - 1540
1 Nov 2009
Khan WS Dunne NJ Huntley JS Joyce T Reichert ILH Snelling S Scammell BE

This paper outlines the recent development of an exchange Travelling Fellowship scheme between the British and American Orthopaedic Research Societies.