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Dataset Information

Early Prediction of Acute Kidney Injury Following Liver Transplantation: Development and Validation of a Clinical Risk Model.


ABSTRACT:

Background

The first 48 h following liver transplantation (LT) represent a critical therapeutic window. Early identification of patients who are at high risk of developing acute kidney injury (AKI) can optimize treatment strategies and improve patient outcomes. This study aimed to develop and validate a clinical risk prediction model for AKI within 48 h following LT by utilizing preoperative and intraoperative parameters.

Methods

A total of 453 adult LT recipients treated at the Beijing Tsinghua Changgung Hospital between January 2018 and October 2022 were enrolled. Patients were randomly assigned to a development cohort and a validation cohort at a 6:4 ratio. AKI was diagnosed using the 2012 Kidney Disease Improving Global Outcomes (KDIGO) criteria. Univariate and multivari

SUBMITTER: Wei Y 

PROVIDER: S-EPMC12493209 | biostudies-literature | 2026 Jan-Feb

REPOSITORIES: biostudies-literature