Early Prediction Of Renal Graft Function: Analysis Of A Multi-Centre, Multi-Level Data Set

Arturo Blazquez Navarro,Chris Bauer,Nicole Wittenbrink,Kerstin Wolk,Robert Sabat,Chantip Dang-Heine,Sindy Neumann,Toralf Roch,Patrizia Wehler,Rodrigo Blazquez Navarro,Sven Olek,Olive Thombusch,Harald Seitz,Petra Reinke,Christian Hugo,Birgit Sawatzki,Nina Babel,Michal Or-Guil

TRANSPLANT INTERNATIONAL（2021）

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摘要

Our multi-center, multi-level data set represents a milestone in the efforts to predict transplant outcome. While an acceptable predictive capacity was achieved, we are still far from predicting changes in the eGFR precisely. Additional studies employing further marker panels are needed to establish predictors of eGFR-1y for clinical application; herein, gene expression markers seem to hold the most promise.

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关键词

Early risk assessment,Estimated glomerular filtration rate,Gene expression,Genetics,Immunosuppression,Machine learning,Personalized medicine,Renal function,Renal transplantation

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