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Clinical Trial Summary

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.


Clinical Trial 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: - Identification of predictive biomarkers for drug response estimation and identification of prognostic biomarkers to estimate the future course of the disease, focusing on participants in whom treatment needs to be changed. - Improved monitoring of participant well-being. During the first year, data related to demographics, lifestyle, laboratory and physical examinations will be collected at baseline, at month 3, at month 12 and in case of unscheduled visit. Questionnaires and standardised voice collection will be collected (optionally) at different time points using the Colive web app. Physical activity and sleep quality will be optionally monitored via a smartwatch that will be provided to interested participants. Biological sample(s) and imaging data will be collected at different time points (baseline; 3 months; 12 months; unscheduled visit). A long-term follow-up (starting from month 12 and up to 4 years after month 12) is foreseen in this study. During the long-term follow-up medical data are collected on a yearly basis, and questionnaires are collected every 6 months. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06235684
Study type Observational
Source Luxembourg Institute of Health
Contact Jasmin Schulz, PhD
Phone +35226970265
Email Jasmin.Schulz@lih.lu
Status Not yet recruiting
Phase
Start date June 1, 2024
Completion date May 1, 2032

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