Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patients.

ABSTRACT:

Background

Due to the convenience of serum creatinine (SCr) monitoring and the relative complexity of urine output (UO) monitoring, most studies have predicted acute kidney injury (AKI) only based on SCr criteria. This study aimed to compare the differences between SCr alone and combined UO criteria in predicting AKI.

Methods

We applied machine learning methods to evaluate the performance of 13 prediction models composed of different feature categories on 16 risk assessment tasks (half used only SCr criteria, half used both SCr and UO criteria). The area under receiver operator characteristic curve (AUROC), the area under precision recall curve (AUPRC) and calibration were used to assess the prediction performance.

Results

In the first week after ICU admission, the pr

SUBMITTER: Wu L 

PROVIDER: S-EPMC10539235 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature