Optimizing Fluid Management with AI-Supported Goal-Directed Therapy in Major Abdominal Cancer Surgery A Randomized Trial

What this Trial Is About

Major oncological surgery is a complex procedure often involving patients with high-risk factors that can affect immediate postoperative outcomes and quality of life. Managing cardiovascular stability and fluid balance during surgery is critical to reducing complications such as acute kidney injury, myocardial ischemia, and sepsis. This research evaluates the use of artificial intelligence AI tools combined with Goal-Directed Hemodynamic Therapy GDHT protocols to optimize intraoperative fluid management in patients undergoing major abdominal cancer surgery. The study compares three fluid management strategies during surgery one using the FLOTRAC sensor for traditional monitoring, another using the Hypotension Prediction Index HPI to predict and prevent low blood pressure episodes, and a third combining HPI with Assisted Fluid Management AFM software that provides real-time guidance on fluid administration. Each method is designed to help the medical team manage fluids and maintain hemodynamic stability using different levels of AI support. Participants will be monitored before, during, and after surgery with detailed data collected on fluid administration, hemodynamic parameters, and clinical outcomes such as complications, hospital stay length, and mortality. The study will measure differences in fluid volumes used during surgery and track episodes of hypotension, postoperative complications, and intensive care unit stays up to 30 days after discharge. This comprehensive approach aims to improve clinical outcomes and optimize healthcare resource use.

Three Different GHDT ( Goal Hemodynamic Directed Therapy) Strategies for Intraoperative Fluid Management Optimization During Major Abdominal Surgery: A Randomized Controlled Trial