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ID07301307

Using Hypotension Prediction Index and Assisted Fluid Management Software to Improve Blood Pressure Control During Surgery Under General Anesthesia

Led by National and Kapodistrian University of Athens · Updated on 2026-04-20

100

Participants Needed

1

Research Sites

21 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating if combining the Hypotension Prediction Index HPI with Assisted Fluid Management AFM software can improve the management of blood pressure during general anesthesia in adults. The study aims to find out whether using HPI and AFM reduces the occurrence and length of low blood pressure during surgery, optimizes fluid and medication use, and improves overall outcomes. This is a prospective, randomized trial involving adult patients undergoing elective surgery requiring invasive blood pressure monitoring. Participants will be randomly assigned to one of two groups. The experimental group will receive goal-directed hemodynamic therapy guided by HPI and AFM software using the Hemosphere monitor and Acumen IQ sensor. This system helps predict low blood pressure before it happens and guides fluid administration based on heart function. The control group will receive standard care based on the anesthesiologists clinical judgment although the Acumen IQ sensor will be used, its outputs will not be visible or used in decision-making. Both groups will be monitored continuously during surgery. Participants will have invasive blood pressure monitoring throughout surgery, with data recorded by the research team. The main measure is the time-weighted average of hypotension, defined as mean arterial pressure below 65 mm Hg for at least one minute during surgery. Secondary measures include how often and how long hypotension occurs, the types and amounts of fluids and medications given, and adherence to the treatment protocol. The study is expected to conclude in March 2027.

CONDITIONS

Brief Title

Hypotension Prediction Index (HPI) and Assisted Fluid Management (AFM) for Perioperative Hemodynamic Optimization in Patients Under General Anesthesia

Research Team

G

Georgia Ntalamagka, MD

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