Hypotension prediction index decision support system: a new model for decision support in hemodynamic management

• Published in: Frontiers in anesthesiology Vol. 3
• Main Authors: Valbuena-Bueno, Miguel A., Ripollés-Melchor, Javier, Ruiz-Escobar, Alicia, Fernández-Valdes-Bango, Paula, Lorente, Juan V., Abad-Gurumeta, Alfredo, Monge-García, M. Ignacio
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 29-08-2024
• Subjects: blood pressure; blood pressure determination methods; computer-assisted methods; hemodynamics therapy; hypotension prevention & control; machine learning
• ISSN: 2813-480X; 2813-480X
• DOI: 10.3389/fanes.2024.1405397

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.