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Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)

Background: Intraoperative hypotension is common in patients having non-cardiac surgery and associated with postoperative acute myocardial injury, acute kidney injury, and mortality. Avoiding intraoperative hypotension is a complex task for anesthesiologists. Using artificial intelligence to predict...

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Autores principales: Monge García, Manuel Ignacio, García-López, Daniel, Gayat, Étienne, Sander, Michael, Bramlage, Peter, Cerutti, Elisabetta, Davies, Simon James, Donati, Abele, Draisci, Gaetano, Frey, Ulrich H., Noll, Eric, Ripollés-Melchor, Javier, Wulf, Hinnerk, Saugel, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571548/
https://www.ncbi.nlm.nih.gov/pubmed/36233455
http://dx.doi.org/10.3390/jcm11195585
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author Monge García, Manuel Ignacio
García-López, Daniel
Gayat, Étienne
Sander, Michael
Bramlage, Peter
Cerutti, Elisabetta
Davies, Simon James
Donati, Abele
Draisci, Gaetano
Frey, Ulrich H.
Noll, Eric
Ripollés-Melchor, Javier
Wulf, Hinnerk
Saugel, Bernd
author_facet Monge García, Manuel Ignacio
García-López, Daniel
Gayat, Étienne
Sander, Michael
Bramlage, Peter
Cerutti, Elisabetta
Davies, Simon James
Donati, Abele
Draisci, Gaetano
Frey, Ulrich H.
Noll, Eric
Ripollés-Melchor, Javier
Wulf, Hinnerk
Saugel, Bernd
author_sort Monge García, Manuel Ignacio
collection PubMed
description Background: Intraoperative hypotension is common in patients having non-cardiac surgery and associated with postoperative acute myocardial injury, acute kidney injury, and mortality. Avoiding intraoperative hypotension is a complex task for anesthesiologists. Using artificial intelligence to predict hypotension from clinical and hemodynamic data is an innovative and intriguing approach. The Acumen(TM) Hypotension Prediction Index (HPI) software (Edwards Lifesciences; Irvine, CA, USA) was developed using artificial intelligence—specifically machine learning—and predicts hypotension from blood pressure waveform features. We aimed to describe the incidence, duration, severity, and causes of intraoperative hypotension when using HPI monitoring in patients having elective major non-cardiac surgery. Methods: We built up a European, multicenter, prospective, observational registry including at least 700 evaluable patients from five European countries. The registry includes consenting adults (≥18 years) who were scheduled for elective major non-cardiac surgery under general anesthesia that was expected to last at least 120 min and in whom arterial catheter placement and HPI monitoring was planned. The major objectives are to quantify and characterize intraoperative hypotension (defined as a mean arterial pressure [MAP] < 65 mmHg) when using HPI monitoring. This includes the time-weighted average (TWA) MAP < 65 mmHg, area under a MAP of 65 mmHg, the number of episodes of a MAP < 65 mmHg, the proportion of patients with at least one episode (1 min or more) of a MAP < 65 mmHg, and the absolute maximum decrease below a MAP of 65 mmHg. In addition, we will assess causes of intraoperative hypotension and investigate associations between intraoperative hypotension and postoperative outcomes. Discussion: There are only sparse data on the effect of using HPI monitoring on intraoperative hypotension in patients having elective major non-cardiac surgery. Therefore, we built up a European, multicenter, prospective, observational registry to describe the incidence, duration, severity, and causes of intraoperative hypotension when using HPI monitoring in patients having elective major non-cardiac surgery.
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spelling pubmed-95715482022-10-17 Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT) Monge García, Manuel Ignacio García-López, Daniel Gayat, Étienne Sander, Michael Bramlage, Peter Cerutti, Elisabetta Davies, Simon James Donati, Abele Draisci, Gaetano Frey, Ulrich H. Noll, Eric Ripollés-Melchor, Javier Wulf, Hinnerk Saugel, Bernd J Clin Med Study Protocol Background: Intraoperative hypotension is common in patients having non-cardiac surgery and associated with postoperative acute myocardial injury, acute kidney injury, and mortality. Avoiding intraoperative hypotension is a complex task for anesthesiologists. Using artificial intelligence to predict hypotension from clinical and hemodynamic data is an innovative and intriguing approach. The Acumen(TM) Hypotension Prediction Index (HPI) software (Edwards Lifesciences; Irvine, CA, USA) was developed using artificial intelligence—specifically machine learning—and predicts hypotension from blood pressure waveform features. We aimed to describe the incidence, duration, severity, and causes of intraoperative hypotension when using HPI monitoring in patients having elective major non-cardiac surgery. Methods: We built up a European, multicenter, prospective, observational registry including at least 700 evaluable patients from five European countries. The registry includes consenting adults (≥18 years) who were scheduled for elective major non-cardiac surgery under general anesthesia that was expected to last at least 120 min and in whom arterial catheter placement and HPI monitoring was planned. The major objectives are to quantify and characterize intraoperative hypotension (defined as a mean arterial pressure [MAP] < 65 mmHg) when using HPI monitoring. This includes the time-weighted average (TWA) MAP < 65 mmHg, area under a MAP of 65 mmHg, the number of episodes of a MAP < 65 mmHg, the proportion of patients with at least one episode (1 min or more) of a MAP < 65 mmHg, and the absolute maximum decrease below a MAP of 65 mmHg. In addition, we will assess causes of intraoperative hypotension and investigate associations between intraoperative hypotension and postoperative outcomes. Discussion: There are only sparse data on the effect of using HPI monitoring on intraoperative hypotension in patients having elective major non-cardiac surgery. Therefore, we built up a European, multicenter, prospective, observational registry to describe the incidence, duration, severity, and causes of intraoperative hypotension when using HPI monitoring in patients having elective major non-cardiac surgery. MDPI 2022-09-23 /pmc/articles/PMC9571548/ /pubmed/36233455 http://dx.doi.org/10.3390/jcm11195585 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Study Protocol
Monge García, Manuel Ignacio
García-López, Daniel
Gayat, Étienne
Sander, Michael
Bramlage, Peter
Cerutti, Elisabetta
Davies, Simon James
Donati, Abele
Draisci, Gaetano
Frey, Ulrich H.
Noll, Eric
Ripollés-Melchor, Javier
Wulf, Hinnerk
Saugel, Bernd
Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)
title Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)
title_full Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)
title_fullStr Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)
title_full_unstemmed Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)
title_short Hypotension Prediction Index Software to Prevent Intraoperative Hypotension during Major Non-Cardiac Surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT)
title_sort hypotension prediction index software to prevent intraoperative hypotension during major non-cardiac surgery: protocol for a european multicenter prospective observational registry (eu-hyprotect)
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571548/
https://www.ncbi.nlm.nih.gov/pubmed/36233455
http://dx.doi.org/10.3390/jcm11195585
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