A novel and integrated software solution for providing compatible platelets to HLA-sensitized patients

Area of Science:

• Immunology
• Transfusion Medicine
• Bioinformatics

Background:

• Transfusion support for sensitized patients is critical but faces challenges due to limited software access.
• Blood centers and HLA laboratories require efficient tools for matching patients with compatible donors.

Purpose of the Study:

• To develop and implement vendor-supported software for improved HLA and antibody matching in platelet transfusion.
• To create a system that integrates with existing laboratory informatics and donor registries.

Main Methods:

• Developed integrated software interfacing with laboratory systems and platelet donor registries.
• Implemented an algorithm for filtering antigen-negative donors, ranking by HLA match, homozygosity, and cross-reactive group comparison.
• Incorporated customizable reporting with filtering options for low, moderate, and high antibody reactivities.

Main Results:

• The software successfully sources patient HLA typing and antibody specificities to filter compatible donors.
• A ranked donor report is generated, optimizing selection for sensitized patients.
• The system reduces transcription errors and streamlines data retrieval for timely transfusion support.

Conclusions:

• Vendor-supported software provides a sustainable and adaptable solution for platelet matching.
• The developed application enhances efficiency and accuracy in transfusion support for sensitized patients.
• This customizable software facilitates better patient outcomes through improved donor selection.