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Clinical Trial 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.

Clinical Trial Description

Hypothesis : the area under the ROC curves (ROC AUCs) at 1, 2 and 5 minutes of LepMAP would be superior to AMAP ;

Study Design

Related Conditions & MeSH terms

NCT number NCT04559269
Study type Observational
Source Hospices Civils de Lyon
Contact laure Peter-Derex
Phone 4 72 07 19 29
Status Recruiting
Start date October 1, 2019
Completion date December 2021

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