POS-021 Machine learning algorithms could be used for the prediction of Type 3 CRS in patients with acute kidney injury

Abstract

Acute kidney injury (AKI) is a common complication of critically ill patients, and its prevalence is more than 50%. Type 3 cardiorenal syndrome (CRS) refers to acute heart injury and / or dysfunction caused by AKI, which can lead to poor prognosis and death. This study aimed to establish a prediction model by using machine learning algorithms and predict the occurrence of type 3 CRS in AKI patients.