Validation of 2 Prognostic Models to Predict Renal Allograft Outcome After IgA Nephropathy Recurrence.

ABSTRACT:

Introduction

IgA nephropathy (IgAN) recurrence (IgANr) after kidney transplantation (KTx) is common and contributes to reducing graft survival. Some tools have been developed to predict the patients who are at a higher risk of poor outcomes among the native (international IgAN prediction tool [IIgAN-PT]) and graft (Bednarova's prediction tool [Bednarova-PT]) kidney. We aimed to analyze their performance in a KTx population other than the originally reported.

Methods

We performed a multicenter retrospective study including KTx with biopsy-proven IgANr. IIgAN-PT and Bednarova-PT were used to calculate the risk of death-censored graft loss (DCGL). We assessed the performance of both prediction models using discrimination and calibration metrics and Kaplan-Meier plots.

Result

SUBMITTER: Rodrigo E 

PROVIDER: S-EPMC12266211 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature