NCT05615168

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 34 (actual)
• Sponsor: University Hospital Dubrava · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

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

• Hypotension During Surgery

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	"Acumen IQ" guided hemodynamic optimization	Hypotension prediction index (HPI) available with the Edwards "Acumen IQ" sensor will be used as an early warning system and a "diagnostic screen" will be used to guide therapeutic interventions.
DIAGNOSTIC_TEST	"Flotrac" guided hemodynamic optimization	Therapeutic interventions guided by real time monitored hemodynamic parameters as measured by Edwards "Flotrac" sensor.

Timeline

• Start date: 2022-01-01
• Primary completion: 2022-06-30
• Completion: 2022-08-30
• First posted: 2022-11-14
• Last updated: 2022-11-14

Locations

1 site across 1 country: Croatia

Regulatory

• FDA-regulated device study