THU0421 Serum-Based Soluble Markers May Differentiate Psoriatic Arthritis from Osteoarthritis

BackgroundIt is often difficult to differentiate psoriatic arthritis (PsA) from osteoarthritis (OA) in clinical practice.ObjectivesTo aid clinical diagnosis, we aimed to identify soluble biomarkers that differentiate PsA from OA.MethodsSerum samples from 201 patients with OA (mean age 65 years, 43.3% males, no history of inflammatory disease), 77 patients with PsA satisfying CASPAR criteria (mean age 45 years, 54.5% males) and 76 healthy controls (mean age 37 years, 50% males) were obtained from the respective biobanks of the Arthritis Program, University Health Network, and the University of Toronto PsA Program. Samples were obtained at the time of joint replacement surgery (OA) or at the time of clinical assessment (PsA, healthy controls), and stored at -80°C until laboratory assays were conducted. Soluble markers of cartilage metabolism (COMP, hyaluronan), metabolic syndrome (adiponectin, adipsin, resistin, HGF, insulin, leptin) and inflammation/immune response (CRP, IL-1b, -6, -8, TNF-α, MCP-1, NGF) were assayed in the samples using Luminex multiplex assay. Marker levels in serum were compared across the 3 groups using the Kruskal-Wallis test. Pair-wise comparisons were made with Wilcoxon rank sum test. To identify markers that differentiate PsA from OA, multivariate logistic regression analyses with backward elimination, adjusted for age and sex, were constructed using markers determined to be significant at a p≤0.1 from univariate analyses. Discriminative ability was assessed by way of receiver operating characteristic (ROC) curves based on findings from multivariate models. The final model was further validated in an independent set of 73 PsA and 75 OA samples using predicted probabilities estimated using coefficients from the model developed on the training set.ResultsUnivariate analyses revealed the following markers significantly differed across groups (p