Derivation and validation of a model to predict acute kidney injury following cardiac surgery in patients with normal renal function.

ABSTRACT:

Background

The study aimed to construct a clinical model based on preoperative data for predicting acute kidney injury (AKI) following cardiac surgery in patients with normal renal function.

Methods

A total of 22,348 consecutive patients with normal renal function undergoing cardiac surgery were enrolled. Among them, 15,701 were randomly selected for the training group and the remaining for the validation group. To develop a model visualized as a nomogram for predicting AKI, logistic regression was performed with variables selected using least absolute shrinkage and selection operator regression. The discrimination, calibration, and clinical value of the model were evaluated.

Results

The incidence of AKI was 25.2% in the training group. The new model consisted of nine

SUBMITTER: Hu P 

PROVIDER: S-EPMC8354173 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature