Hemotherapy algorithms for coagulopathic cardiac surgery patients

Area of Science:

• Anesthesiology and Perioperative Medicine
• Transfusion Medicine
• Clinical Coagulation

Background:

• Perioperative coagulopathy and allogeneic blood product use in cardiac surgery correlate with increased mortality and adverse events.
• Current hemotherapy practices often rely on clinical judgment, lacking standardized algorithms.
• A debate exists regarding the optimal basis for hemotherapy: conventional laboratory tests versus Point-of-Care (POC) measures.

Purpose of the Study:

• To develop and present practical hemotherapy algorithms for cardiac surgery.
• To compare algorithms based on POC measures versus conventional coagulation testing.
• To address the complexity of existing hemotherapy algorithms and facilitate daily practice integration.

Main Methods:

• Development of two comprehensive and practical hemotherapy algorithms in collaboration with three German University Hospitals.
• Algorithms are designed for implementation using either POC measures or conventional coagulation testing.
• The structure and limitations of the developed algorithms are presented and discussed.

Main Results:

• Evidence supports viscoelastic and aggregometric measurements in reducing allogeneic blood product transfusion rates.
• Data suggest that improved clinical outcomes are associated with these advanced hemostatic therapy measures.
• The newly developed algorithms offer a more practical approach compared to existing complex hemotherapy protocols.

Conclusions:

• Practical hemotherapy algorithms, based on either POC or conventional testing, can be implemented in clinical practice.
• These algorithms aim to optimize hemostatic therapy and potentially reduce allogeneic blood product use in cardiac surgery.
• Further discussion on the structure and limitations is provided to guide clinical adoption.