OBJECTIVES: Recently, research has been focused on the identification of predictors of response to treatment in patients with active psoriatic arthritis (PsA). The objective of this study was to develop a model to predict the clinical response at 6 months in patients with PsA starting the anti-tumour necrosis factor-α golimumab.
METHODS: This prospective observational study explored a range of factors, including demographic data and baseline characteristics of the disease, measures of disease activity and functional disability, and potential laboratory biomarkers in the prediction of response, defined as the achievement of modified-minimal disease activity (mMDA), to golimumab in PsA patients.
RESULTS: We studied 151 PsA patients starting golimumab because of their active disease. After 6 months, the rate of drug persistence on golimumab was 80%, and mMDA was achieved in 44.3% of patients. Using univariate and multivariate logistic regression models, lower disease activity in PsA score (DAPSA) at baseline (odds ratio [OR] 0.92; 95% confidence interval [CI] 0.89-0.96, p<0.001) was independent predictor of mMDA at 6 months. High sensitivity C-reactive protein value (OR 1.06; 95% CI 1.00-1.13, p=0.026) at baseline also was a predictive factor of mMDA achievement at 6 months in the laboratory-enhanced prediction model. Golimumab was safe and well tolerated.
CONCLUSIONS: The identification of factors predictive of response to treatment may help in better understanding the response to golimumab and in identifying PsA patients that are most likely to achieve mMDA following therapy with golimumab
