Active clinical trials for "Arthritis, Rheumatoid"

The primary objective is to determine if the addition of a 12-week course of treatment with VIB4920 to TNFi treatment will result in improved clinical disease control in patients with RA who have had an inadequate response to a TNFi.

Introduction: The medical treatment of inflammatory rheumatic diseases has improved dramatically during the last decades primarily due to the introduction of biological disease modifying anti-rheumatic drugs (bDMARDs). However, bDMARD treatment failure occurs in 30-40% of patients due to lack of effectiveness or side effects. The tools to predict treatment outcomes in the individual patient are currently limited. The objective of the present study is to identify diagnostic, prognostic and predictive biomarkers, which can be used to 1) diagnose inflammatory rheumatic diseases early in the disease course with high specificity and sensitivity, 2) improve prognostication or 3) predict treatment effectiveness and tolerability for the individual patient. Methods and analysis: Observational and translational open cohort study with prospective collection of clinical data and biological materials in patients with inflammatory rheumatic diseases treated in routine care. Patients contribute one cross-sectional blood sample (i.e. whole blood, serum, EDTA-plasma and -buffy coat, and blood in PAXgene RNA tubes) and/or are enrolled for longitudinal follow-up upon start of new DMARD (blood sampling after 0/3/6/12/24/36/48/60 months' treatment). Demographics, disease characteristics, comorbidities and lifestyle factors are registered at inclusion; DMARD treatment and outcomes are collected repeatedly during follow-up. Currently (June 2017) >5,000 samples from ≈3,000 patients have been collected. Data will be analysed using appropriate statistical analyses. Ethics and dissemination: The protocol is approved by the Danish Ethics Committee and The Danish Data Protection Agency. All participants give written informed consent. Biomarkers will be evaluated and published according to REMARK, STROBE and STARD guidelines. Results will be published in peer-reviewed medical journals and presented at international conferences.

To validate the utility of survivin as a biomarker of pharmacological response to therapeutic intervention in rheumatoid arthritis patients.

Clinical Data evaluation to document the performance and clinical outcomes of the Comprehensive Segmental Revision System.

The biologic drugs targeting TNFa, IL-6, IL-1, T cells, B cells have represented a fundamental discovery to treat rheumatic patients whose disease appears to be refractory to conventional therapy. These biologic drugs have been registered for human therapy from a few years, thereby the investigators miss long-term data for safety and efficacy. Aim of this study is to register all the clinical data of patients with rheumatoid arthritis and spondyloarthritis beginning a treatment with biologic drugs in order to assess the long-term safety and efficacy in the real life.

The aim of this study is to investigate the effect of music therapy and in particular of the model "The Bonny Method of Guided Imagery and Music (GIM)" in patients with rheumatoid arthritis (RA) in relation to both chronic pain relief and other psychosocial parameters, as well as the effect of the method on caregiver burden.

To investigate the role of L-arginine supplementation in the treatment of DMARDs-refractory moderate to severe rheumatoid arthritis

Personalized medicine in which each patient would receive the ideal personalized treatment and regimen, holds great promise to improve patient's care. However, previous studies failed to establish validated predictors of response to disease-modifying anti-rheumatic drugs (DMARDs) in patients with rheumatoid arthritis (RA). JAK inhibitors is a new class of DMARDs with great efficacy that might be even superior to anti-TNF drugs. As there are chemicals, their production cost is much cheaper than biological therapies and they will probably be central in patient's care in the coming years. Three are currently available: upadacitinib (UPA) tofacitinib and baricitinib. Our study will focus on UPA. Clinical outcomes mainly depend on i) factors influencing drug metabolism & concentrations and ii) adequacy between drug target and the inflammation pathways involved in the patient's disease. Humans carry in their gut trillions of germs, which are now known to be key players in health and disease. Those germs possess many enzymes and strongly modulate human enzymes expression. Gut-microbiota can, indeed, directly metabolize oral drugs and control the expression of the cytochrome P450 3A4 (CYP3A4), the main enzyme metabolizing TOFA. We showed, in a preliminary mouse experiment, that modifying gut-microbiota composition changes JAKi effects on signaling pathways. We thus believe that models including gut-microbiota composition together with markers of immune activation will predict clinical outcomes in RA patients treated with UPA. Main and secondary objectives: To build predictive models for clinical outcomes (efficacy and safety) of RA patients treated with UPA based on microbiota analysis and markers f immune activation. Methodolgy: This multicentric longitudinal prospective study will include 60 patients with RA and inadequate response to methotrexate. The clinical outcomes studied will be EULAR non-response at 3 months as defined by the European league against rheumatism EULAR (primary outcome), achievement of low-disease activity at 6 months or incident adverse events (secondary outcomes). Gut microbiota will be assessed at baseline and M3 from thawed fecal samples. DNA will be purified using QIAamp DNA stool mini kit (Qiagen) and qualify using Qubit and TapeStation 4200 (Agilent). Library will be prepared by amplification of V1-V2 and V3-V4 regions from the bacterial 16S rRNA genes and will be qualified by q-PCR and amplicons will be sequenced by MiSeq (Illumina). Initial bioinformatic analysis and taxonomies will be carried out using the QIIME2 software. Immune activation will be assessed through JAK-STAT pathway activation by JAK STAT signaling pathway RT² profiler PCR Array (Qiagen) which profiles expression of 84 genes related to Jak and Stat-mediated signaling. UPA concentrations will be assessed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) at baseline and 3 months. Statistical classifiers (Neural network algorithm, Linear and Quadratic Discriminant Analysis, Support Vector Machine, Random forests, Shrinkage Methods, or Nearest Neighbors) incorporating microbiome, JAK STAT signaling pathway gene expression and clinical data, will be used to determine profiles associated with UPA clinical response and safety. Patients who will prematurely stop UPA (before 3 months) for adverse events or loss of follow-up will be considered as non-responders.

This prospective, non-interventional, research registry is designed to study the comparative safety and comparative effectiveness of approved Jak Inhibitors treatment for RA-PsA-SpA in a cohort of patients and theirs controls cared for by rheumatologists across Latin América (LA).

An observational study to describe the effectiveness, safety, and patient-reported outcomes in patients with moderate to severe active rheumatoid arthritis (RA) receiving filgotinib in real-world setting.