- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03033095
Prediction of the Answer to the Treatment by Biotherapies for Naive Spondyloarthritis by Combinatorial Analysis of Serum Biomarkers (PRESA)
Prediction of the Answer to the Treatment by Biotherapies for Naive Spondyloarthritis Disease During 6 Months by Combinatorial Analysis of Serum Biomarkers
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.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Grenoble, France, 38043
- University Hospital Grenoble
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: etanercept
The etanercept is not the experimental study drug. Etanercept is a treatment justifying the inclusion of patients and is used in accordance with its marketing authorization. Modality of administration : Etanercept : 50 mg / week subcutaneously, every 7 days The clinical response will be evaluated after 6 months of etanercept treatment, at the M6 visit. |
The etanercept is not the experimental study drug.
Etanercept is a treatment justifying the inclusion of patients and is used in accordance with its marketing authorization.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Measurement of disease activity with AS- DAS score (Ankylosing Spondylitis - Disease Activity Score )
Time Frame: 6 months after inclusion
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An important clinical ASAS response, corresponds to a variation of the ASDAS CRP ≥ 1.1
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6 months after inclusion
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Measurement of BASDAI response
Time Frame: 6 months after inclusion
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Sensitivity and specificity of the algorithm for BASDAI response : BASDAI response 50, that means an improvement of BASDAI response of 50% or more
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6 months after inclusion
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biomarkers analysis for personalized medicine
Time Frame: at the inclusion and 6 months after
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8 biomarkers will be analysed :
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at the inclusion and 6 months after
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Athan BAILLET, University Hospital, Grenoble
Publications and helpful links
General Publications
- Aaltonen KJ, Virkki LM, Malmivaara A, Konttinen YT, Nordstrom DC, Blom M. Systematic review and meta-analysis of the efficacy and safety of existing TNF blocking agents in treatment of rheumatoid arthritis. PLoS One. 2012;7(1):e30275. doi: 10.1371/journal.pone.0030275. Epub 2012 Jan 17.
- Braun J, Sieper J. Biological therapies in the spondyloarthritides--the current state. Rheumatology (Oxford). 2004 Sep;43(9):1072-84. doi: 10.1093/rheumatology/keh205. Epub 2004 Jun 8.
- Kristensen LE, Saxne T, Nilsson JA, Geborek P. Impact of concomitant DMARD therapy on adherence to treatment with etanercept and infliximab in rheumatoid arthritis. Results from a six-year observational study in southern Sweden. Arthritis Res Ther. 2006;8(6):R174. doi: 10.1186/ar2084.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Infections
- Joint Diseases
- Musculoskeletal Diseases
- Arthritis
- Spinal Diseases
- Bone Diseases
- Spondylarthropathies
- Bone Diseases, Infectious
- Ankylosis
- Spondylitis
- Spondylarthritis
- Spondylitis, Ankylosing
- Physiological Effects of Drugs
- Peripheral Nervous System Agents
- Analgesics
- Sensory System Agents
- Anti-Inflammatory Agents, Non-Steroidal
- Analgesics, Non-Narcotic
- Anti-Inflammatory Agents
- Antirheumatic Agents
- Immunosuppressive Agents
- Immunologic Factors
- Gastrointestinal Agents
- Etanercept
Other Study ID Numbers
- 38RC16.018
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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