Journal article

Predicting Acute Kidney Injury After Cardiac Surgery Using a Simpler Model

Tim Coulson, Michael Bailey, Dave Pilcher, Christopher M Reid, Siven Seevanayagam, Jenni Williams-Spence, Rinaldo Bellomo

JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA | W B SAUNDERS CO-ELSEVIER INC | Published : 2021

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..

View full abstract