A pre-transplantation risk assessment tool for graft survival in Dutch pediatric kidney recipients.

ABSTRACT:

Background

A prediction model for graft survival including donor and recipient characteristics could help clinical decision-making and optimize outcomes. The aim of this study was to develop a risk assessment tool for graft survival based on essential pre-transplantation parameters.

Methods

The data originated from the national Dutch registry (NOTR; Nederlandse OrgaanTransplantatie Registratie). A multivariable binary logistic model was used to predict graft survival, corrected for the transplantation era and time after transplantation. Subsequently, a prediction score was calculated from the β-coefficients. For internal validation, derivation (80%) and validation (20%) cohorts were defined. Model performance was assessed with the area under the curve (AUC) of the receiver o

SUBMITTER: Oomen L 

PROVIDER: S-EPMC10310505 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature