Initiation of renal replacement therapy in patients with acute kidney injury: a precision medicine approach

Renal replacement therapy (RRT) is a routine treatment for patients with acute kidney injury in intensive care units (ICU). However, RRT is expensive and puts patients at risk of serious adverse events. While for some patients it is the only way to prevent death, for others it may be unnecessary and even harmful. We aim to determine the best candidates and the best timing for the initiation of RRT through the application of machine learning and robust methodology on ICU databases. Our goal is to provide physicians with a tool that will help them decide whether or not to start RRT at the individual patient level.