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This project aims: i) to identify Cardiac Allograft Vasculopathy (CAV) trajectories after heat transplantation using latent class mixed modeling, ii) to characterize the global and specific determinants of different trajectories and iii) to provide an easily accessible tool to project individual probability of CAV trajectory belonging.
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Background:
Cardiac Allograft Vasculopathy (CAV) is the third cause of late mortality and the leading cause of late allograft dysfunction. The field of heart transplantation currently lacks longitudinal description of CAV profiles. Identifying relevant CAV trajectories, or evolution profiles, and their respective determinants is an unmet clinical need. CAV trajectories requires an additional level of understanding and characterization over the current paradigm. Understanding the mechanisms and clinical factors involved in the development of CAV will be useful to provide a more nuanced picture of disease progression, which may ultimately contribute to risk stratification and ultimately guiding the care of HTx patients.
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