prediction of the answer to the treatment by biotherapies for naive spondyloarthritis by combinatorial analysis of serum biomarkers

Conditions: Spondylitis, Ankylosing

Summary: the aim of this trial is the caracterisation of a predicting algorithm of the answering response for patients with etanercept treatment in spondyloarthritis disease. this algorithm will help to target patients patients who have a risk / benefit important for etanercept treatment.

spondyloarthritis (or spondyloarthropathy) is an inflammatory rheumatic disease that causes arthritis. it differs from other types of arthritis because it involves the sites where ligaments and tendons are attached to bones called "entheses." all patients should get physical therapy and make exercises for joints. exercises that promote spinal extension and mobility are the most recommended. non-steroidal anti-inflammatory drugs (nsaids) are the first line treatment for spondylarthritis. nsaids are effective when they are used continuously or at the request, in a short or long-term use. however, physicians have to be aware of potential cardiovascular, renal or gastro-intestinal secondary effects when they prescribe nsaids. after nsaids failure, tnf inhibitors can be used, like infliximab or etanercept. before starting an anti-tnf treatment, a screening is mandatory. indeed, patients treated with an anti-tnf must be followed regularly. until now, there is no algorithm which can predict the response to tnf-inhibitors, and more especially for etanercept treatment. in this clinical trial, the investigators want to caracterise an algorithm which can predict the response to etanercept for a cohort of patients who suffer from spondyloarthritis. the development of a predictive algorithm for etanercept treatment will be set up from biological data and finalized with the availibility of clinical data (m6) of the patients . a modelling by logistic regression will be used, incorporing the set of available variables. in this clinical trial, the investigators want to caracterise an algorithm which can predict the response to tnf-inhibitors for a cohort of patients with spondyloarthritis and for an indicated treatment of etanercept.

Eligibility criteria:
inclusion criteria: * patients with spondylarthritis validating asas or new york modified critera, and for who etanercept is indicated. * naïve from biological drug modifying anti rheumatic drugs * patients between 18 and 70 years old * patients who can be monitored at 6 months ; * patients who can observe the entire treatment ; * patiens with age to procreate under effective contraception ((abstinence, oral contraceptives , intrauterine devices , implants, spermicide or surgical sterilization ) during the study and for 6 months, 3 weeks after the last injection. * patients able to understand and accept the terms of the study * patients having signed the informed consent. * patients insured under social security exclusion criteria: * patients of age protected ; * patients with difficulties for understanding french language ; * patients with high function disorders incompatible with an education program (dementia alzheimer's type , etc ...) ; * patients with psycho- social instability incompatible with regular monitoring (homeless , addictive behavior ,etc.) ; * patients in a socio- professional situation incompatible with optimal attendance to the program - - pregnant or nursing patients * patients who received previously a biotherapy treatment . there is no other exclusion criteria taking into account previous treatments and the duration of them. * contraindication to the use of anti- tnf treatment * surgery scheduled during the study. * persons mentioned in articles l.1121-5 to l.1121-8 of the public health code

Keywords: tnf inhibitor etanercept spondyloarthritis biomarkers analysis personnalized medicine