Paola Conigliaro MD PhD, Paola Triggianese MD PhD, Maria Sole Chimenti MD PhD, Marco Tonelli MD, Flavia Sunzini MD, Barbara Kroegler MD and Roberto Perricone MD
Background: The goals of treatment for rheumatoid arthritis (RA) are remission and low disease activity (LDA). However, many patients do not reach or maintain these targets with regard to disease control.
Objective: To identify predictive factors of remission/LDA in a cohort of RA patients who started treatment with first line tumor necrosis factor-inhibitors (TNF-i).
Methods: We included 308 RA patients treated with first line TNF-i for 2 years to evaluate remission/LDA based on the 28-joint disease activity score (DAS28). Predictive factors considered for achievement of remission/LDA were: gender, age at the time of TNF-i treatment, early arthritis, baseline C-reactive protein (CRP) and erythrocyte sedimentation rate levels, RF/anti-citrullinated protein antibody positivity, good/moderate European League Against Rheumatism response at 6 months, co-morbidities, and concomitant disease modifying antirheumatic drugs (DMARDs). Intention to treat, receiver operating characteristic curve, and univariate and multivariate analyses by logistic regression were performed.
Results: Positive predictors of remission/LDA in both the univariate and the multivariate analyses were: male gender, age at the time of TNF-i treatment ≤ 54 years, negative baseline CRP, and concomitant DMARDs. The presence of any co-morbidity resulted to be a negative predictor of remission/LDA in both the univariate and the multivariate analyses.
Conclusions: Demographic and clinical features were identified as reliable predictors of both the achievement and the maintenance of treatment targets in a cohort of RA patients treated for 2 years with first line TNF-i.
Fabiola Atzeni MD PhD, Marco Corda MD, Piercarlo Sarzi-Puttini MD, Francesco Caso MD, PhD and Maurizio Turiel MD
Fabiola Atzeni MD PhD, Rossella Talotta MD PhD, Ignazio F. Masala MD, Sara Bongiovanni MD, Laura Boccassini MD and Piercarlo Sarzi-Puttini MD
Biomarkers are important for guiding the clinical and therapeutic management of all phases of rheumatoid arthritis because they can help to predict disease development in subjects at risk, improve diagnosis by closing the serological gap, provide prognostic information that is useful for making therapeutic choices and assessing treatment responses and outcomes, and allow disease activity and progression to be monitored. Various biomarkers can be used to identify subjects susceptible to the disease and those with pre-clinical rheumatoid arthritis before the onset of symptoms such as rheumatoid factor and anti-citrullinated protein antibodies. They can be correlated with a risk of developing rheumatoid arthritis and can predict more bone erosions and severe disease progression. Biomarkers such as the erythrocyte sedimentation rate and C-reactive protein levels provide information about disease activity, while predictive biomarkers allow clinicians to assess the probability of a treatment response before starting a particular therapy particularly in the era of biological drugs. This move from traditional approaches to patient stratification and targeted treatment should greatly improve patient care and reduce medical costs.