| Autor: |
Miguel A. Valbuena-Bueno, Javier Ripollés-Melchor, Alicia Ruiz-Escobar, Paula Fernández-Valdes-Bango, Juan V. Lorente, Alfredo Abad-Gurumeta, M. Ignacio Monge-García |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Frontiers in Anesthesiology, Vol 3 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2813-480X |
| DOI: |
10.3389/fanes.2024.1405397 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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