Pilot Study to Optimize Goal-directed Hemodynamic Management During Pancreatectomy.

Area of Science:

• Anesthesiology
• Surgical Innovation
• Hemodynamic Monitoring

Background:

• Goal-directed hemodynamic therapy (GDHT) is integral to enhanced recovery after surgery.
• Intraoperative hypotension (IOH) can negatively impact surgical outcomes.
• Advanced monitoring may optimize GDHT and reduce IOH.

Purpose of the Study:

• To evaluate an advanced noninvasive hemodynamic monitoring system for guiding GDHT.
• To determine if the system reduces IOH during pancreatic resection.
• To assess improvements in intraoperative perfusion parameters.

Main Methods:

• Utilized a machine learning-based monitor generating a Hypotension Prediction Index.
• Employed a clinical decision algorithm for fluid and pressor management.
• Compared hemodynamic data (IOH, cardiac index, stroke volume variation) pre- and post-implementation.

Main Results:

• A 33.3% reduction in intraoperative hypotension was observed post-implementation.
• Cardiac index >2.0 increased by 31.6% and stroke volume variation <12 by 37.6%.
• The post-implementation group had more pancreaticoduodenectomies and longer operative times.

Conclusions:

• Advanced hemodynamic monitoring and a decision tree improve intraoperative parameters during pancreatectomy.
• This approach shows promise for reducing IOH and enhancing perfusion.
• Further large-scale studies are warranted to confirm these findings.