Development and validation of a novel nomogram model for predicting delayed graft function in deceased donor kidney transplantation based on pre-transplant biopsies

Development and validation of a novel nomogram model for predicting delayed graft function in deceased donor kidney transplantation based on pre-transplant biopsies

Abstract Background Delayed graft function (DGF) is an important complication after kidney transplantation surgery. The present study aimed to develop and validate a nomogram for preoperative prediction of DGF on the basis of clinical and histological risk factors. Methods The prediction model was c...

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Bibliographic Details
Main Authors: Meihe Li, Xiaojun Hu, Yang Li, Guozhen Chen, Chen-guang Ding, Xiaohui Tian, Puxun Tian, Heli Xiang, Xiaoming Pan, Xiaoming Ding, Wujun Xue, Jin Zheng, Chenguang Ding
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BMC Nephrology
Subjects:
Kidney transplantation
Delayed graft function
LASSO regression
Nomogram
Pre-transplant biopsy
Online Access:https://doi.org/10.1186/s12882-024-03557-3

Internet

https://doi.org/10.1186/s12882-024-03557-3

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