Intraoperative Hypotension Predicted by Mean Arterial Pressure

Study Overview
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Brief Summary
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During general anesthesia, intraoperative hypotension (IOH) is associated with increased morbidity and mortality. Mean arterial pressure (MAP) < 65mmHg is the most common definition of hypotension. In order to reduce IOH, a complex method using machine learning called hypotensive prediction index (HPI) was shown to be superior to changes in MAP (ΔMAP) to predict hypotension (MAP between 65 and 75 excluded). Linear extrapolation of MAP (LepMAP) is also very simple and could be a better approach than ΔMAP. The main objective of the present study was to investigate whether LepMAP could predict IOH during anesthesia 1, 2 or 5 minutes before. Hypothesis : the area under the ROC curves (ROC Area Under Curves) at 1, 2 and 5 minutes of LepMAP would be superior to ΔMAP

Official Title
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Intraoperative Hypotension Predicted by Observation of Mean Arterial Pressure : a Retrospective Cohort Preliminary Study

Conditions
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Wedge Resection, Lobectomy by Video-thoracoscopies

Intervention / Treatment
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* Other: Data collected


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: All lobectomy including for another study (VATOFA study) with continuous invasive blood pressure monitoring per arterial line All pancreaticoduodenectomy or hepatectomy including for another study (CARBODAV study) with continuous invasive blood pressure monitoring per arterial line age 18 or over Exclusion Criteria: complex hemodynamic cases (heart, lung and liver transplantation) using extracorporeal membrane oxygenation. Patient who object to take part of the study.

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| control group<br> | |
| focus group<br> | Other: Data collected<br>* The variable of the characteristic of the patients (i.e.: age, sex, hypertension, diabetes, atrial fibrillation, coronary arteries diseases, body mass index (BMI), surgery, medications) were retrieved from the anesthesia consultation file (Easily, Hospices Civiles de Lyon, France). We retrieved the mean arterial pressure from our local anesthesia software for each patient ( Diane®, Bow medical, Amiens France). We also performed an automatic extraction of data from our anesthesia software (Diane, Bow Medical, France) with a rate of 1 value / minute for some continuous arterial pressure. All data was extracted from our institutional database and collected by a physician who was not involved in the care of the study patients.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| AUC ROC of LepMAP | The primary outcome measure is the AUC ROC of LepMAP 1, 2 and 5 minute before hypotension to predict hypotension defined as a mean arterial pressure less tha 65 mmHg | Only during perioperative period | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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wedge resection, lobectomy, video-thoracoscopies