EE450 The Burden of Intraoperative Hypotension in Patients Undergoing High-Risk Noncardiac Surgery and the Role of a Machine Learning-Derived Algorithm to Optimize Its Management: What Are We Missing Ignoring Supportive Innovations?

Abstract

Intraoperative hypotension (IOH) in noncardiac surgery entails a humanistic and economic burden associated with a higher risk of mortality and severe adverse events (AEs). Machine learning-derived algorithms, such as the Hypotension Prediction Index (HPI), contribute to reducing IOH depth and duration, minimizing its impact on patients’ recovery. Objectives were twofold: to highlight the impact of AEs of IOH in Spain and estimate potential savings provided by HPI use.