ArticlePharmacoepidemiology and drug safety2026
A Pharmaco-Epidemiological Research Program Leveraging a Nationwide Database of Kidney Transplantation.
Article in Pharmacoepidemiology and drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesThe pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims to evaluate, for the principal maintenance immunosuppressive drugs (MISDs): the influence of model-informed precision dosing on graft and patient survival; long-term exposure-effects relationships; and the benefit-harm balance of their combinations and time sequences in patient groups or clinical settings not adequately evaluated in comparative randomized clinical trials. It also aims to develop a hybrid, dynamic, deep learning model capable of predicting the rate of renal graft function decline, thereby providing a platform for individualized prediction of the benefits and risks associated with MISDs. PATIENTS AND
methodsAfter obtaining all regulatory andd ethical approvals, de-identified extracts of three national databases were linked to create the nationwide PERP-KT dataset, which is hosted within the highly secure environment of the French Health Data Hub.
resultsCRISTAL (the exhaustive registry of the French Agence de la Biomédecine) comprises data from 49 886 kidney donors and the corresponding 47 842 transplant recipients between 2005 and 2020. Following iterative deterministic matching and extensive quality control procedures, CRISTAL data were successfully linked to: the French national Health Data System (SNDS), which records reimbursed healthcare utilization, for 30 782 kidney transplant recipients; and to ISBA, a web-based platform for Bayesian dose adjustment of MISDs that contains pharmacological data, for 17 700 kidney grafts and 17 576 recipients. PERSPECTIVES: More than 20 pharmaco-epidemiological studies will leverage the database's extensive follow-up, large population size and richness of clinical, healtcare-utilization, and pharmacological data.
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