Predicting Acute Kidney Injury After Cardiac Surgery Using a Simpler Model

Abstract

Objective: To develop a simple model for the prediction of acute kidney injury (AKI) and renal replacement therapy (RRT) that could be used in clinical or research risk stratification. Design: Retrospective analysis. Setting: Multi-institutional. Participants: All cardiac surgery patients from September 2016 to December 2018. Interventions: Observational. Measurements and Main Results: The study cohort was divided into a development set (75%) and validation set (25%). The following 2 data epochs were used: preoperative data and immediate postoperative data (within 4 h of intensive care unit admission). Univariate statistics were used to identify variables associated with AKI or RRT. Stepwise..