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The goal of this observational study is to assess the clinical added value of donor-derived cell-free DNA (dd-cfDNA) to monitor cardiac allograft rejection. The main question it aims to answer is whether dd-cfDNA is independently associated with rejection and if it allows a significant improvement in individual risk stratification of rejection on top of a robust predictive model based on standard clinical and biological predictive variables.
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Despite major advances in immunosuppression, allograft rejection remains an important complication after heart transplantation. International guidelines recommend performing routine endomyocardial biopsies (EMB) to detect allograft rejection with the goal of identifying rejection at a subclinical state. However, this invasive strategy suffers from major limitations, making an improvement in individual risk stratification of rejection highly needed. Major advances in the field of non-invasive biomarkers of cardiac rejection have been made. Strong associations between donor-derived cell-free DNA (dd-cfDNA) and cardiac rejection have been reported, including in properly designed prospective observational studies with a longitudinal follow-up. However, the independent nature of this association and the improvement in individual risk stratification with dd-cfDNA on top of routine parameters have not yet been demonstrated. The aim of our study is to challenge, in a large observational prospective cohort, the clinical added value of dd-cfDNA with a previously published robust rejection predictive model including the following variables: time post-transplant, pre-transplant sensitizing event, circulating anti-HLA donor-specific antibodies (DSA) with mean fluorescence intensity ≥ 3,000, acute graft dysfunction and prior history of rejection.
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Data sourced from clinicaltrials.gov
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