A genotype-guided prediction model for the incidence of persistent acute kidney injury following lung transplantation.

ABSTRACT:

Background

This study aimed to develop a nomogram for predicting persistent renal dysfunction in acute kidney injury (AKI) following lung transplantation (LTx).

Method

A total of 229 LTx patients were enrolled, and genotyping for 153 single nucleotide polymorphisms (SNPs) was performed. The cohort was randomly divided into training (n = 183) and validation (n = 46) sets in an 8:2 ratio. Statistically significant SNPs identified through pharmacogenomic analysis were combined with clinical factors to construct a comprehensive prediction model for persistent AKI using multivariate logistic regression analysis. Discrimination and calibration analyses were conducted to evaluate the performance of the model. Decision curve analysis was used to assess its clinical utility. Due to t

SUBMITTER: Du W 

PROVIDER: S-EPMC11654156 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature