PIONEER Trial (Post-Transplant Application of TruGraf and TRAC Molecular Panel in Renal Transplant Recipients)

This is an observational, prospective, multi-center trial designed to evaluate clinical outcomes in kidney transplant recipients undergoing TruGraf and TRAC monitoring.

Approximately 15 U.S. sites

All subjects who meet the inclusion criteria and none of the exclusion criteria will be eligible to participate. As the study is non-interventional, no protocol-mandated treatment or management plan will be imposed. In the absence of a universally ac-cepted paradigm for post-transplant monitoring with molecular diagnostics, participat-ing sites will be encouraged to follow their usual practice, supplemented where ap-propriate by the suggested TruGraf and TRAC™ algorithms.

To evaluate both the prognostic performance and the clinical utility of these bi-omarkers, a hybrid analytic framework will be used. Biomarker results will be made available to clinicians in real time, and investigators will prospectively record whether each result led to a change in clinical management. Natural History Subgroup: Test-ing events in which both TruGraf® and TRAC results are double-negative and no change in management occurred. Analyses will be anchored at the test-event level to avoid immortal time bias. This subgroup will be used to evaluate the safety and true negative predictive value (NPV) of a double-negative result, including the incidence of biopsy-proven acute rejection (BPAR) within 30 days.

• Real-World Use Subgroup: Testing events in which biomarker results prompt-ed a change in clinical management (e.g., change in immunosuppression, for-cause biopsy, or enhanced monitoring). By definition, any action following a test result places the event in this subgroup, irrespective of whether the bi-omarker result was double-negative or abnormal. Because clinical actions can alter subsequent risk trajectories, analyses in this subgroup will account for treatment-confounder feedback using causal modeling strategies (e.g., marginal structural models, target trial emulation).