Extensive red blood cell matching considering patient alloimmunization risk

Area of Science:

• Transfusion Medicine
• Immunology
• Health Informatics

Background:

• Red blood cell (RBC) transfusions carry a risk of alloantibody development.
• Extended antigen matching beyond ABO-D is recommended for high-risk patients.
• Current allocation models may not fully account for patient-specific risks and clinical consequences.

Purpose of the Study:

• To refine the MINimize Relative Alloimmunization Risks (MINRAR) model for RBC unit selection.
• To incorporate patient group preferences and clinical mismatch consequences into allocation.
• To evaluate the impact of strategic blood distribution informed by scheduled transfusions.

Main Methods:

• Redefined the MINRAR model using linear optimization.
• Included antigen immunogenicity and clinical mismatch impact.
• Evaluated the model with historical data from two Dutch hospitals, assessing shortages and antigen mismatches.

Main Results:

• The updated model reduced expected alloimmunization consequences by shifting mismatches.
• Simultaneous multi-hospital matching with scheduled demand decreased mismatches by 30%.
• Shortages were reduced by 92% through collaborative, strategic blood distribution.

Conclusions:

• Incorporating patient group preferences effectively reduces alloimmunization consequences.
• Multi-hospital collaboration and information sharing significantly decrease RBC mismatches and shortages.
• The refined strategy enhances patient health outcomes in transfusion medicine.