AUTHOR=Valbuena-Bueno Miguel A. , Ripollés-Melchor Javier , Ruiz-Escobar Alicia , Fernández-Valdes-Bango Paula , Lorente Juan V. , Abad-Gurumeta Alfredo , Monge-García M. Ignacio TITLE=Hypotension prediction index decision support system: a new model for decision support in hemodynamic management JOURNAL=Frontiers in Anesthesiology VOLUME=3 YEAR=2024 URL=https://www.frontiersin.org/journals/anesthesiology/articles/10.3389/fanes.2024.1405397 DOI=10.3389/fanes.2024.1405397 ISSN=2813-480X ABSTRACT=

Intraoperative hypotension (IOH) poses significant risks during surgeries, necessitating effective management to ensure patient safety and successful outcomes. The Hypotension Prediction Index (HPI) software was developed as a decision support model to assist anesthesiologists in monitoring and addressing hypotensive episodes during non-cardiac surgeries. We have utilized the predictive capabilities of HPI and the physiological variables provided by the Hemosphere monitor to create a Decision Support System (HPI-DSS) for hemodynamic management. This article presents a comprehensive overview of the HPI-DSS, detailing its model for hemodynamic decision support. The system's performance and its ability to enhance intraoperative management are discussed. The article explores the methodology, results, and limitations of the HPI-DSS. It also covers potential applications of the system and offers suggestions for further research to improve and refine its capabilities.