Open AccessPrediction scores for risk of allograft loss in patients receiving kidney transplants: nil satis nisi optimum
Author(s) -
Núria Montero,
Sergi Codina,
Josep M. Cruzado
Publication year - 2020
Publication title -
clinical kidney journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.033
H-Index - 40
eISSN - 2048-8513
pISSN - 2048-8505
DOI - 10.1093/ckj/sfaa081
Subject(s) - renal function , proteinuria , medicine , kidney transplantation , urology , kidney , transplantation , filtration (mathematics) , surgery , mathematics , statistics
Long-term graft survival is the main concern of kidney transplantation. Some strategies have been tested to predict graft survival using estimated glomerular filtration rate or proteinuria at different time points, histologic assessment, non-invasive biomarkers or even machine-learning methods. However, the 'magical formulae' for allograft survival prediction does not exist yet.