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Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial
INTRODUCTION: Intraoperative arterial hypotension is associated with poor postoperative outcomes. The Hypotension Prediction Index (HPI) developed using machine learning techniques, allows the prediction of arterial hypotension analysing the arterial pressure waveform. The use of this index may redu...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163532/ https://www.ncbi.nlm.nih.gov/pubmed/35654467 http://dx.doi.org/10.1136/bmjopen-2021-051728 |
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author | Lorente, Juan Victor Jimenez, Ignacio Ripollés-Melchor, Javier Becerra, Alejandra Wesselink, Wilbert Reguant, Francesca Mojarro, Irene Fuentes, Maria de los Angeles Abad-Motos, Ane Agudelo, Elizabeth Herrero-Machancoses, Francisco Callejo, Paula Bosch, Joan Monge, Manuel Ignacio |
author_facet | Lorente, Juan Victor Jimenez, Ignacio Ripollés-Melchor, Javier Becerra, Alejandra Wesselink, Wilbert Reguant, Francesca Mojarro, Irene Fuentes, Maria de los Angeles Abad-Motos, Ane Agudelo, Elizabeth Herrero-Machancoses, Francisco Callejo, Paula Bosch, Joan Monge, Manuel Ignacio |
author_sort | Lorente, Juan Victor |
collection | PubMed |
description | INTRODUCTION: Intraoperative arterial hypotension is associated with poor postoperative outcomes. The Hypotension Prediction Index (HPI) developed using machine learning techniques, allows the prediction of arterial hypotension analysing the arterial pressure waveform. The use of this index may reduce the duration and severity of intraoperative hypotension in adults undergoing non-cardiac surgery. This study aims to determine whether a treatment protocol based on the prevention of arterial hypotension using the HPI algorithm reduces the duration and severity of intraoperative hypotension compared with the recommended goal-directed fluid therapy strategy and may improve tissue oxygenation and organ perfusion. METHODS AND ANALYSIS: We will conduct a multicentre, randomised, controlled trial (N=80) in high-risk surgical patients scheduled for elective major abdominal surgery. All participants will be randomly assigned to a control or intervention group. Haemodynamic management in the control group will be based on standard haemodynamic parameters. Haemodynamic management of patients in the intervention group will be based on functional haemodynamic parameters provided by the HemoSphere platform (Edwards Lifesciences), including dynamic arterial elastance, dP/dt(max) and the HPI. Tissue oxygen saturation will be recorded non-invasively and continuously by using near-infrared spectroscopy technology. Biomarkers of acute kidney stress (cTIMP2 and IGFBP7) will be obtained before and after surgery. The primary outcome will be the intraoperative time-weighted average of a mean arterial pressure <65 mm Hg. ETHICS AND DISSEMINATION: Ethics committee approval was obtained from the Ethics Committee of Hospital Gregorio Marañón (Meeting of 27 July 2020, minutes 18/2020, Madrid, Spain). Findings will be widely disseminated through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: NCT04301102. |
format | Online Article Text |
id | pubmed-9163532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-91635322022-06-16 Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial Lorente, Juan Victor Jimenez, Ignacio Ripollés-Melchor, Javier Becerra, Alejandra Wesselink, Wilbert Reguant, Francesca Mojarro, Irene Fuentes, Maria de los Angeles Abad-Motos, Ane Agudelo, Elizabeth Herrero-Machancoses, Francisco Callejo, Paula Bosch, Joan Monge, Manuel Ignacio BMJ Open Anaesthesia INTRODUCTION: Intraoperative arterial hypotension is associated with poor postoperative outcomes. The Hypotension Prediction Index (HPI) developed using machine learning techniques, allows the prediction of arterial hypotension analysing the arterial pressure waveform. The use of this index may reduce the duration and severity of intraoperative hypotension in adults undergoing non-cardiac surgery. This study aims to determine whether a treatment protocol based on the prevention of arterial hypotension using the HPI algorithm reduces the duration and severity of intraoperative hypotension compared with the recommended goal-directed fluid therapy strategy and may improve tissue oxygenation and organ perfusion. METHODS AND ANALYSIS: We will conduct a multicentre, randomised, controlled trial (N=80) in high-risk surgical patients scheduled for elective major abdominal surgery. All participants will be randomly assigned to a control or intervention group. Haemodynamic management in the control group will be based on standard haemodynamic parameters. Haemodynamic management of patients in the intervention group will be based on functional haemodynamic parameters provided by the HemoSphere platform (Edwards Lifesciences), including dynamic arterial elastance, dP/dt(max) and the HPI. Tissue oxygen saturation will be recorded non-invasively and continuously by using near-infrared spectroscopy technology. Biomarkers of acute kidney stress (cTIMP2 and IGFBP7) will be obtained before and after surgery. The primary outcome will be the intraoperative time-weighted average of a mean arterial pressure <65 mm Hg. ETHICS AND DISSEMINATION: Ethics committee approval was obtained from the Ethics Committee of Hospital Gregorio Marañón (Meeting of 27 July 2020, minutes 18/2020, Madrid, Spain). Findings will be widely disseminated through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: NCT04301102. BMJ Publishing Group 2022-06-02 /pmc/articles/PMC9163532/ /pubmed/35654467 http://dx.doi.org/10.1136/bmjopen-2021-051728 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Anaesthesia Lorente, Juan Victor Jimenez, Ignacio Ripollés-Melchor, Javier Becerra, Alejandra Wesselink, Wilbert Reguant, Francesca Mojarro, Irene Fuentes, Maria de los Angeles Abad-Motos, Ane Agudelo, Elizabeth Herrero-Machancoses, Francisco Callejo, Paula Bosch, Joan Monge, Manuel Ignacio Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
title | Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
title_full | Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
title_fullStr | Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
title_full_unstemmed | Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
title_short | Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
title_sort | intraoperative haemodynamic optimisation using the hypotension prediction index and its impact on tissular perfusion: a protocol for a randomised controlled trial |
topic | Anaesthesia |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163532/ https://www.ncbi.nlm.nih.gov/pubmed/35654467 http://dx.doi.org/10.1136/bmjopen-2021-051728 |
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