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

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.

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Publication Details

Journal
Frontiers in Anesthesiology
Published
2024-08-29
DOI
https://doi.org/10.3389/fanes.2024.1405397
Citations
1
Primary Topic
Hemodynamic Monitoring and Therapy
Type
article
Field-Weighted Citation Impact
0.57
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article

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

Manuel Ignacio Monge García, Javier Ripollés‐Melchor, Alfredo Abad‐Gurumeta, J.V. Lorente et al.
1 citations
Frontiers in Anesthesiology
Hemodynamic Monitoring and Therapy
0.57
article

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

Manuel Ignacio Monge García, Javier Ripollés‐Melchor, Alfredo Abad‐Gurumeta, J.V. Lorente, Alicia Ruiz-Escobar, Paula Fernández-Valdés-Bango, Miguel A. Valbuena-Bueno
article en
1 citations

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.

Frontiers in AnesthesiologyVol. 3
Universidad Complutense de Madrid (ES), Hospital Juan Ramón Jiménez (ES), Spanish Society of Hematology and Hemotherapy (ES), Hospital Jerez Puerta del Sur (ES), Hospital Universitario Infanta Leonor (ES), Universidad Politécnica de Madrid (ES)
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Openalex Percentile: Top 30%
Hemodynamic Monitoring and Therapy
0.57
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