The goal of this prospective observational study is to externally validate the prediction algorithm using non-invasive monitoring device for intraoperative hypotension. The main question it aims to answer is: Does the prediction algorithm predict intraoperative hypotension effectively?
Adults patients aged 19 or more
Elective surgery under general anesthesia
American Society of Anesthesiologists physical status I - III
Vasopressor/Inotrope usage before surgery
Patients who needs invasive arterial cannulation
Emergency surgery
Pregnant or lactating women
The patients who undergoing general anesthesia with five non-invasive monitoring device (non-invasive blood pressure, electrocardiography, photoplethysmography, capnography, and Bispectral Index)
Cohort
Prospective
Prediction algorithm for intraoperative hypotension
Diagnostic testAll participants will receive five non-invasive monitoring during their surgery. Data from these monitoring device will be put into the prediction algorithm.
Value of the Area Under the Receiver-Operating Characteristic curve analysis
The area under the receiver operating characteristic curve is a measurement of how well a prediction model can predict intraoperative hypotension. It is used to assess the performance of algorithm.
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