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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.
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.
Afiliação
  • Lorente JV; Anesthesia and Critical Care, Hospital Juan Ramon Jimenez, Huelva, Spain juanvictor.lorente@gmail.com.
  • Jimenez I; School of Medicine and Health Science, Universitat Internacional de Catalunya, Barcelona, Spain.
  • Ripollés-Melchor J; Anesthesia and Critical Care, Virgen del Rocio University Hospital, Sevilla, Spain.
  • Becerra A; Anesthesia and Critical Care, Infanta Leonor University Hospital, Madrid, Spain.
  • Wesselink W; Anesthesia and Critical Care, Complejo Hospitalario Universitario de Badajoz, Badajoz, Spain.
  • Reguant F; Edwards Lifesciences Corp, Irvine, California, USA.
  • Mojarro I; School of Medicine and Health Science, Universitat Internacional de Catalunya, Barcelona, Spain.
  • Fuentes MLA; Anesthesia, Fundacio Althaia de Manresa, Manresa, Spain.
  • Abad-Motos A; Anesthesia and Critical Care, Hospital Juan Ramon Jimenez, Huelva, Spain.
  • Agudelo E; Anesthesia and Critical Care, Virgen del Rocio University Hospital, Sevilla, Spain.
  • Herrero-Machancoses F; Anesthesia and Critical Care, Infanta Leonor University Hospital, Madrid, Spain.
  • Callejo P; Anesthesia and Critical Care, Complejo Hospitalario Universitario de Badajoz, Badajoz, Spain.
  • Bosch J; Predepartamental Unit of Medicine, Science Health Faculty, Universitat Jaume I, Castello de la Plana, Spain.
  • Monge MI; Fundación Progreso y Salud, Sevilla, Spain.
BMJ Open ; 12(6): e051728, 2022 06 02.
Article em En | MEDLINE | ID: mdl-35654467
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/dtmax 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hipotensão Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hipotensão Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article