Predicting kidney graft function and failure among kidney transplant recipients

Background Graft loss is a major health concern for kidney transplant (KTx) recipients. It is of clinical interest to develop a prognostic model for both graft function, quantified by estimated glomerular filtration rate (eGFR), and the risk of graft failure. Additionally, the model should be dynami...

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Bibliographic Details
Published in:	BMC medical research methodology Vol. 24; no. 1; pp. 324 - 9
Main Authors:	Yao, Yi, Astor, Brad C., Yang, Wei, Greene, Tom, Li, Liang
Format:	Journal Article
Language:	English
Published:	London BioMed Central 31.12.2024 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Adult Analysis Biopsy Competing risk Creatinine Dynamic prediction Electronic health records Female Glomerular filtration rate Glomerular Filtration Rate - physiology Graft failure Graft Rejection Graft Survival Health Sciences Humans Kidney diseases Kidney transplantation Kidney Transplantation - adverse effects Kidney transplants Kidneys Male Medicine Medicine & Public Health Middle Aged Patients Prognosis Renal function Risk Factors Statistical analysis Statistical models Statistical Theory and Methods Statistics for Life Sciences Theory of Medicine/Bioethics Transplant Recipients - statistics & numerical data Transplantation China Istanbul Turkey Turkey Renal function Competing risk Dynamic prediction Graft failure Kidney transplantation
ISSN:	1471-2288, 1471-2288
Online Access:	Get full text
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