Clinical Trials Directory

Trials / Recruiting

RecruitingNCT06247384

The Hypotension Prediction Index in Major Abdominal Surgery

The Hypotension Prediction Index in Major Abdominal Surgery - a Prospective Randomized Clinical Trial.

Status
Recruiting
Phase
N/A
Study type
Interventional
Enrollment
226 (estimated)
Sponsor
Jakub Szrama · Academic / Other
Sex
All
Age
18 Years – 80 Years
Healthy volunteers
Not accepted

Summary

The goal of this randomized clinical trial is to compare different types of advanced hemodynamic monitoring in patients undergoing major abdominal surgery. Participants undergoing major abdominal surgery will receive anesthesia with two different types of hemodynamic monitoring - group A will receive arterial pressure cardiac output algorithm with the FloTrac sensor and group B will receive hemodynamic monitoring with the Hypotension Prediction Index. The main question the study aims to answer is: • will the hypotension prediction index algorithm reduce the rate of hypotension in comparison to arterial pressure cardiac output algorithm.

Detailed description

The fundamental aspect of the anesthetics perioperative management is to maintain hemodynamic stability, with special attention on the avoidance or reduction of the episodes of intraoperative hypotension (IOH). The incidence of intraoperative hypotension is related to an increased rate of perioperative morbidity and mortality. Even a short period of hypotension can be related to an increased risk of postoperative stroke, myocardial injury and acute kidney injury. Patients undergoing major abdominal surgery are at a high-risk of IOH because such surgeries typically require more than 2h to complete and require blood transfusion or inotrope administration. Hemodynamic monitoring and the use of goal directed therapy protocols helps to diminish the incidence of perioperative complications, however the hypotension management remains a reactive approach, an intervention is made when the hypotension has already occured. The Hypotension Prediction Index is an machine learning algorithm which allows to predict the episodes of hypotension and intervene before mean arterial pressure drops below 65 mmHg. The aim of the current study is to compare the rate of hypotension in patients undergoing major abdominal surgery with the arterial pressure cardiac output algorithm and the hypotension prediction index algorithm.

Conditions

Interventions

TypeNameDescription
DEVICEHypotension Prediction Index Hemodynamic MonitoringThe application of the perioperative hemodynamic management according to the hypotension prediction index algorithm.

Timeline

Start date
2025-01-01
Primary completion
2025-12-31
Completion
2025-12-31
First posted
2024-02-07
Last updated
2025-08-03

Locations

1 site across 1 country: Poland

Regulatory

Source: ClinicalTrials.gov record NCT06247384. Inclusion in this directory is not an endorsement.