Disease control in patients with psoriatic arthritis in real clinical practice in Spain: MiDAS study.

OBJECTIVE: MiDAS study assessed the percentage of psoriatic arthritis (PsA) patients treated in routine clinical practice who achieved control of disease activity according to Disease Activity in Psoriatic Arthritis (DAPSA) and Minimal Disease Activity (MDA). METHODS: Observational, non-interventional, cross-sectional, multicenter study conducted under conditions of routine clinical practice in 36 centers with outpatient rheumatology clinics in Spanish public hospitals. Patients included were adults (≥18 years) with ≥6 months PsA diagnosis according to classification for PsA (CASPAR) criteria and undergoing treatment ≥3 months. The main variable evaluated was the percentage of patients under remission and low disease activity, assessed through DAPSA and MDA. RESULTS: 313 patients with PsA were included: 54.3% male; with mean age of 54.1±12.2 years and mean disease duration of 10.5±9.0 years. Mean C-reactive protein (CRP) serum levels were 4.9±7.3mg/L. At the study visit, 58.5% of patients were in monotherapy (17.6% biological and 40.9% non-biological) and 41.2% were receiving biological and non-biological therapy. 59.4% of patients showed low disease activity (DAPSA≤14) and 19.8% were on remission (DAPSA≤4). Moreover, 51.4% of the patients reached an MDA status (≥5 MDA). CONCLUSIONS: Around 40% of PsA patients presented uncontrolled disease, highlighting the need to improve the management of these patients in clinical practice.

Disease control in patients with ankylosing spondylitis in real clinical practice in Spain: Results of the MIDAS study.

INTRODUCTION AND OBJECTIVES: Understanding the disease activity is fundamental to improve patient prognosis and patients' quality of life. MiDAS study described disease activity in ankylosing spondylitis (AS) Spanish patients and the proportion of them with controlled disease. METHODS: Observational, cross-sectional, multicenter study carried out under conditions of routine clinical practice. Adult (≥18 years) patients with ≥6 months since AS diagnosis treated ≥3 months prior to inclusion. The primary endpoint was the percentage of patients with low disease activity assessed through BASDAI (primary endpoint) and ASDAS-CRP (secondary endpoint). RESULTS: 313 AS patients included: 75.7% male; 78.5% HLA-B*27 positive; mean (SD) baseline age of 50.4 (12.0) years; mean (SD) disease duration of 15.5 (11.6) years; 73.5% were treated with biological disease-modifying antirheumatic drugs (DMARDs), 22.4% with non-biological DMARDs and 53.7% with non-steroidal anti-inflammatory drugs, alone or in combination. Monotherapy with biologics and non-biologics was used by 29.7% and 26.8% of patients, respectively. According to BASDAI, 38.0% were in remission (BASDAI≤2) and 64.5% showed adequate disease control (BASDAI<4). According to ASDAS-CRP, 29.4% achieved remission (ASDAS-CRP<1.3) and 28.1% low disease activity (1.3≤ASDAS-CRP<2.1). CONCLUSIONS: Almost two thirds of the AS patients recruited had low disease activity, with about one third of them being in remission (BASDAI≤2, ASDAS-CRP<1.3). These results highlight the existing room for improvement in treating AS patients in clinical practice.

Unveiling chronic spontaneous urticaria pathophysiology through systems biology.

BACKGROUND: Chronic spontaneous urticaria (CSU) is a rare, heterogeneous, severely debilitating, and often poorly controlled skin disease resulting in an itchy eruption that can be persistent. Antihistamines and omalizumab, an anti-IgE mAb, are the only licensed therapies. Although CSU pathogenesis is not yet fully understood, mast cell activation through the IgE:high-affinity IgE receptor (FcεRI) axis appears central to the disease process. OBJECTIVE: We sought to model CSU pathophysiology and identify in silico the mechanism of action of different CSU therapeutic strategies currently in use or under development. METHODS: Therapeutic performance mapping system technology, based on systems biology and machine learning, was used to create a CSU interactome validated with gene expression data from patients with CSU and a CSU model that was used to evaluate CSU pathophysiology and the mechanism of action of different therapeutic strategies. RESULTS: Our models reflect the known role of mast cell activation as a central process of CSU pathophysiology, as well as recognized roles for different therapeutic strategies in this and other innate and adaptive immune processes. They also allow determining similarities and differences between them; anti-IgE and Bruton tyrosine kinase inhibitors play a more direct role in mast cell biology through abrogation of FcεRI signaling activity, whereas anti-interleukins and anti-Siglec-8 have a role in adaptive immunity modulation. CONCLUSION: In silico CSU models reproduced known CSU and therapeutic strategies features. Our results could help advance understanding of therapeutic mechanisms of action and further advance treatment research by patient profile.