PRediction mEdical DevIce for Rheumatoid Arthritis: Scale-up of Unique Predictive Online Platform Highly Improving the Quality of Life of Rheumatoid Arthritis' Patient by Personalised and Efficient Biotherapies Prescription
PRediction mEdical DevIce for Rheumatoid Arthritis: Scale-up of Unique Predictive Online Platform Highly Improving the Quality of Life of Rheumatoid Arthritis' Patient by Personalised and Efficient Biotherapies Prescription
Rheumatoid arthritis (RA) is one of the leading chronic inflammatory rheumatism, with a prevalence of about 0.4% of the population.
First-line therapy with synthetic disease modifying anti-rheumatic drugs (including methotrexate) is insufficiently effective in 40% of cases. These patients are then treated with biotherapies. The use of these bio-drugs increases each year, becoming a public health issue and a considerable economic burden. Besides, their growth is just beginning, as they are among the major purveyors of pharmacy innovations.
There are about ten bio-drugs currently on the market for rheumatoid arthritis with an average annual treatment cost of 8 to 12 K € per patient. This cost is 20 times higher than that of synthetic disease modifying anti-rheumatic drugs. However, among patients treated with biotherapies, clinical practice shows that about one-third will not respond to the selected drug. In the case of non-response, practitioners currently have no choice but to perform an empirical rotation between the different treatments, because no tool capable of predicting the response or non-response to these molecules is currently available.
The study is a prospective, phase III, controlled, multicenter, and randomized, single-blind (patient) clinical trial.
In addition, a sub study will be carried out within this trial to analyse the proteomic profile of the patients included and their modification throughout the study.
To study the clinical and pharmacoeconomic impact after 6 months of the use of the SinnoTest® predictive tool in patients with rheumatoid arthritis who have failed to a first anti-TNF biologic agent compared to usual care.
Inclusion Criteria:
Exclusion Criteria:
lrrodriguez@salud.madrid.org+34913303615 ext. 7560
daliferdayanira.freites@salud.madrid.org+34913303615
Madrid, 28034, Spain
bfernandez.hcsc@salud.madrid.org+34913303615 ext. 7803
lrrodriguez@salud.madrid.org+34913303615 ext. 7560