Intraoperative Hypotension Predicted by Mean Arterial Pressure
NCT05147012 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 80
Last updated 2021-12-07
Summary
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
Conditions
- Wedge Resection
- Lobectomy by Video-thoracoscopies
Interventions
- OTHER
-
Data collected
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.
Sponsors & Collaborators
-
Hospices Civils de Lyon
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-03-01
- Primary Completion
- 2019-03-01
- Completion
- 2020-03-31
Countries
- France
Study Locations
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