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This study is part of the Clinnova program. This is a prospective cohort study including patients with RD recruited at the time of a treatment change. At least 800 participants (recruited in France, Germany and Luxembourg) will be enrolled, of which 100 participants are expected to be recruited in Luxembourg with the present study protocol. The mission of Clinnova is to support the digitalization of healthcare and precision medicine by creating a data-enabling environment for accessing, sharing and analyzing interoperable, high-quality health data. The main hypothesis is that treatment change decided by clinicians is predictable using objective surrogate markers derived from clinical, epidemiological, and omics data. Identifying these objective markers may facilitate future treatment decisions, provide new insights on the molecular causes for differential treatment response, pathogenesis and progression, and potential pointers for improved personalized therapeutic interventions.
Full description
Major unmet clinical needs in RD are participant stratification by the predicted response to different drugs and the stratification of participants by predicted disease course, which might result in more or less aggressive treatment approaches. In this context, key unmet needs that can be addressed by data science and artificial intelligence include:
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Inclusion and exclusion criteria
Inclusion criteria:
● Signed informed consent form
≥ 18 years of age
Willing and able to comply with the protocol for the duration of the study including data and samples collection, study visits and examinations
Either newly diagnosed with a RD as defined in the diseases of interest below* requiring initiation of therapy OR treatment change , as per physician's discretion OR any increase in disease activity assessed by the rheumatologist to be relevant (e.g., flare(s) before the study visit) *For RA:
Participants fulfilling the 2010 ACR/EULAR criteria for RA
Newly diagnosed RA in the last 2 years requiring initiation/change of therapy OR any type of RA requiring treatment change
For SLE:
For SSc:
• Participants fulfilling the 2013 ACR/EULAR Classification Criteria for Systemic Sclerosis (Ssc)
For ASSD:
Exclusion criteria
For RA:
• overlap of RA with any other rheumatic/immunologic disease
For SLE:
For SSc:
For ASSD:
100 participants in 1 patient group
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Central trial contact
Jasmin Schulz, PhD
Data sourced from clinicaltrials.gov
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