Use of Hypotension Prediction Index to Reduce Intraoperative Hypotension in Major Thoracic Surgery

Overview

Intraoperative hypotension is linked to increased incidence of perioperative adverse events such as myocardial and cerebrovascular infarction and acute kidney injury. Hypotension prediction index (HPI) is a novel machine learning guided algorithm which can predict hypotensive events using high fidelity analysis of pulse-wave contour. Goal of this trial is to determine whether use of HPI can reduce the number and duration of hypotensive events in patients undergoing major thoracic procedures.

Conditions

Interventions

Eligibility

Locations (1)

Outcomes