Predicting Low Blood Pressure to Improve Surgery Outcomes

This clinical trial focuses on improving patient safety during major vascular surgeries by using a new Hypotension Prediction Index (HPI) to anticipate and prevent dangerous drops in blood pressure. The study will compare two approaches: one using this advanced prediction technology versus traditional blood pressure monitoring methods.

Patients undergoing aortic surgery will be randomly assigned to either:

• Experimental group: Receives proactive treatment based on the HPI algorithm that predicts low blood pressure before it occurs
• Control group: Receives standard care based on current blood pressure readings

The research team aims to determine whether predictive monitoring can reduce the time patients spend with critically low blood pressure during surgery. This is particularly important because:

• Intraoperative hypotension (low blood pressure during surgery) occurs in 20-70% of major surgeries
• Even brief episodes can increase risks of organ damage, heart complications, and longer recovery
• Current detection methods only respond to blood pressure drops after they occur

For patients and caregivers considering participation, the study requires:

• Planned aortic surgery at the research hospital
• Age 18+ (including older adults)
• No severe obesity (BMI under 35)
• No history of atrial fibrillation or kidney failure

This research represents an important advancement in surgical safety technology. While anesthesiologists currently rely on reacting to blood pressure changes, this study explores whether predicting these changes could lead to better outcomes. The approach could potentially reduce complications like:

• Postoperative cognitive dysfunction
• Kidney injury
• Extended hospital stays

For the medical community, successful results could establish new standards for hemodynamic monitoring during high-risk surgeries. The technology might eventually expand to other complex surgical procedures where blood pressure stability is crucial.

The trial will run for one year at Fondazione Policlinico Universitario Agostino Gemelli IRCCS in Italy, enrolling approximately 80 patients. While the technology shows promise, researchers emphasize the importance of rigorous testing through studies like this before widespread clinical adoption.

Patients interested in participating should discuss with their surgical team whether they meet the eligibility criteria and how the study protocols might affect their individual care plan. The researchers have designed the trial to maintain high safety standards while evaluating this innovative approach to surgical monitoring.