Blood Pressure, Hemodynamic Instability, Machine Learning, Prediction Models
Conditions
Brief summary
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.
Interventions
DIAGNOSTIC_TESTHypotension Probability Indicator
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.
Sponsors
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* all adult patients undergoing surgery
Exclusion criteria
* none
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity of the HPI algorithm | three minutes prior to the hypotensive event | Sensitivity |
| Specifity of the HPI algorithm | three minutes prior to the hypotensive event | Specifity |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Time from HPI alarm to hypotensive event during surgery | 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) | 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. |
| Predictive positive value of the HPI algorithm | one minute prior to the hypotensive event | Predictive positive value |
| Specifity of the HPI algorithm | one minute prior to the hypotensive event | Specifity |
| Sensitivity of the HPI algorithm | one minute prior to the hypotensive event | Sensitivity |
| Negative predictive value of the HPI algorithm | one minute prior to the hypotensive event | Negative predictive value |
Outcome results
None listed