Development and validation of a dynamic online nomogram for predicting acute kidney injury in cirrhotic patients upon ICU admission.

ABSTRACT:

Background

Acute kidney injury (AKI) is one of the most common and deadly complications among cirrhotic patients at intensive care unit (ICU) admission. We aimed to develop and validate a simple and clinically useful dynamic nomogram for predicting AKI in cirrhotic patients upon ICU admission.

Methods

We analyzed the admission data of 4,375 patients with liver cirrhosis in ICU from 2008 to 2019 in the intensive care unit IV (MIMIC-IV) database. The eligible cirrhotic patients were non-randomly divided into derivation (n = 2,188) and validation (n = 2,187) cohorts at a ratio of 1:1, according to the order of admission. The least absolute shrinkage and selection operator regression model was used to identify independent predictors of AKI in the derivation cohort.

SUBMITTER: Feng LH 

PROVIDER: S-EPMC9911427 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature