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=Volume 3 - 2024

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 for patient safety and successful outcomes. The Hypotension Prediction Index (HPI) software has been developed as a model for decision support, assisting anesthesiologists in monitoring and addressing hypotensive episodes during non-cardiac surgeries. Based on the predictive capabilities of HPI, as well as the physiological variables offered by the Hemosphere monitor, we have created a Decision support system (HPI-DSS) for hemodynamic management. This article provides a comprehensive overview of the HPI-DSS with a focus on its model for hemodynamic decision support. The methodology, results, and limitations are discussed, along with potential applications and suggestions for further research.