Intraoperative hypotension occurs often and is associated with adverse patient outcomes such as stroke, myocardial infarction and renal injury. The aim of this study was to test the accuracy of a physiology-based machine-learning algorithm using continuous non-invasive measurement of the blood pressure waveform with the Nexfin® finger cuff during surgery.
Study Type
OBSERVATIONAL
Enrollment
507
The accurary of the Hypotension Probability Indicator (HPI) is tested in the created offline database. This means data was prospectively collected but the HPI algorithm was not tested prospectively but after collection in the offline database.
Sensitivity of the HPI algorithm
Sensitivity
Time frame: three minutes prior to the hypotensive event
Specifity of the HPI algorithm
Specifity
Time frame: three minutes prior to the hypotensive event
Predictive positive value of the HPI algorithm
Predictive positive value
Time frame: one minute prior to the hypotensive event
Predictive positive value of the HPI algorithm
Predictive positive value
Time frame: two minutes prior to the hypotensive event
Predictive positive value of the HPI algorithm
Predictive positive value
Time frame: three minutes prior to the hypotensive event
Predictive positive value of the HPI algorithm
Predictive positive value
Time frame: four minutes prior to the hypotensive event
Predictive positive value of the HPI algorithm
Predictive positive value
Time frame: five minutes prior to the hypotensive event
Predictive positive value of the HPI algorithm
Predictive positive value
Time frame: ten minutes prior to the hypotensive event
Predictive positive value of the HPI algorithm
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Predictive positive value
Time frame: 15 minutes prior to the hypotensive event
Negative predictive value of the HPI algorithm
Negative predictive value
Time frame: one minute prior to the hypotensive event
Negative predictive value of the HPI algorithm
Negative predictive value
Time frame: two minutes prior to the hypotensive event
Negative predictive value of the HPI algorithm
Negative predictive value
Time frame: four minutes prior to the hypotensive event
Negative predictive value of the HPI algorithm
Negative predictive value
Time frame: five minutes prior to the hypotensive event
Negative predictive value of the HPI algorithm
Negative predictive value
Time frame: ten minutes prior to the hypotensive event
Negative predictive value of the HPI algorithm
Negative predictive value
Time frame: 15 minutes prior to the hypotensive event
Time from HPI alarm to hypotensive event during surgery
Time from HPI alarm to hypotensive event, this can range from 0,1 min to a high number such as 30 or even 40 minutes.
Time frame: From the onset of the HPI alarm to the hypotensive event during surgery, this is in minutes. (this can range from 0,1 min to a high number such as 30 or even 40 minutes)
Sensitivity of the HPI algorithm
Sensitivity
Time frame: one minute prior to the hypotensive event
Sensitivity of the HPI algorithm
Sensitivity
Time frame: two minutes prior to the hypotensive event
Sensitivity of the HPI algorithm
Sensitivity
Time frame: five minutes prior to the hypotensive event
Sensitivity of the HPI algorithm
Sensitivity
Time frame: ten minutes prior to the hypotensive event
Sensitivity of the HPI algorithm
Sensitivity
Time frame: 15 minutes prior to the hypotensive event
Specifity of the HPI algorithm
Specifity
Time frame: one minute prior to the hypotensive event
Specifity of the HPI algorithm
Specifity
Time frame: two minutes prior to the hypotensive event
Specifity of the HPI algorithm
Specifity
Time frame: five minutes prior to the hypotensive event
Specifity of the HPI algorithm
Specifity
Time frame: ten minutes prior to the hypotensive event
Specifity of the HPI algorithm
Specifity
Time frame: 15 minutes prior to the hypotensive event