Can baseline ultrasound results help to predict failure to achieve DAS28 remission after 1 year of tight control treatment in early RA patients?

BACKGROUND: At present, there are no prognostic parameters unequivocally predicting treatment failure in early rheumatoid arthritis (RA) patients. We investigated whether baseline ultrasonography (US) findings of joints, when added to baseline clinical, laboratory, and radiographical data, could improve prediction of failure to achieve Disease Activity Score assessing 28 joints (DAS28) remission (<2.6) at 1 year in newly diagnosed RA patients. METHODS: A multicentre cohort of newly diagnosed RA patients was followed prospectively for 1 year. US of the hands, wrists, and feet was performed at baseline. Clinical, laboratory, and radiographical parameters were recorded. Primary analysis was the prediction by logistic regression of the absence of DAS28 remission 12 months after diagnosis and start of therapy. RESULTS: Of 194 patients included, 174 were used for the analysis, with complete data available for 159. In a multivariate model with baseline DAS28 (odds ratio (OR) 1.6, 95% confidence interval (CI) 1.2-2.2), the presence of rheumatoid factor (OR 2.3, 95% CI 1.1-5.1), and type of monitoring strategy (OR 0.2, 95% CI 0.05-0.85), the addition of baseline US results for joints (OR 0.96, 95% CI 0.89-1.04) did not significantly improve the prediction of failure to achieve DAS28 remission (likelihood ratio test, 1.04; p = 0.31). CONCLUSION: In an early RA population, adding baseline ultrasonography of the hands, wrists, and feet to commonly available baseline characteristics did not improve prediction of failure to achieve DAS28 remission at 12 months. TRIAL REGISTRATION: Clinicaltrials.gov, NCT01752309 . Registered on 19 December 2012.

Molecular subtypes of systemic sclerosis in association with anti-centromere antibodies and digital ulcers.

The objective of this study was to identify molecular profiles that may distinguish clinical subtypes in systemic sclerosis (SSc). Large-scale gene expression profiling was performed on peripheral blood (PB) from 12 SSc patients and 6 healthy individuals. Significance analysis of microarrays, two-way hierarchical cluster analysis and PANTHER (Protein ANalysis THrough Evolutionary Relationships) ontology classification were used to analyze the data. Quantitative PCR was applied for validation in a cohort of 43 SSc patients. The results show that the expression of genes involved in immune defense, cell cycle and signal transduction was significantly elevated in PB of SSc patients (n=12) compared with healthy individuals (n=6). SSc patients could be stratified into subgroups based on differential expression of genes induced by type I interferon (IFN) and genes involved in antimicrobial (AM) activity. Differential expression of type I IFN or AM signature genes was validated and extended in an independent cohort of 31 patients by quantitative PCR. Low expression of IFN response genes was associated with the presence of anti-centromere antibodies, whereas increased expression was associated with the appearance of digital ulcers. In conclusion, patients with SSc can be classified on the basis of differential expression of immune defense genes. Differences in the activity of the type I IFN response program stratify patients into two clinically relevant subgroups.