Prediction of Hemodynamic Instability in Patients Undergoing Surgery

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

Status: Completed

Conditions: Prediction Models; Hemodynamic Instability; Machine Learning; Blood Pressure

Treatments: Diagnostic Test: Hypotension Probability Indicator

Study type: Observational

Funder types: Other

Identifiers

NCT03533205

W15_080

Details and patient eligibility

About

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.

Enrollment: 507 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• all adult patients undergoing surgery

Exclusion criteria

• none