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Dataset Information

A model for predicting postoperative persistent acute kidney injury (AKI) in AKI after cardiac surgery patients with normal baseline renal function.


ABSTRACT:

Background

Persistent acute kidney injury (AKI) after cardiac surgery is not uncommon and linked to poor outcomes.

Hypothesis

The purpose was to develop a model for predicting postoperative persistent AKI in patients with normal baseline renal function who experienced AKI after cardiac surgery.

Methods

Data from 5368 patients with normal renal function at baseline who experienced AKI after cardiopulmonary bypass cardiac surgery in our hospital were retrospectively evaluated. Among them, 3768 patients were randomly assigned to develop the model, while the remaining patients were used to validate the model. The new model was developed using logistic regression with variables selected using least absolute shrinkage and selection operator regression.

Results

The in

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10766121 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature