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Immune Algorithm Optimization for Organ Transplantation in Poland.

Grażyna Moszkowska¹, Hanna Zielińska¹, Maciej Zieliński¹

¹Department of Medical Immunology, Medical University of Gdańsk, Gdańsk, Poland; Immunology & Transplantology Clinical Laboratory, University Laboratory Medicine Centre, University Clinical Centre in Gdańsk, Gdańsk, Poland.

Transplantation Proceedings

|April 14, 2020

Summary

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This summary is machine-generated.

This study proposes a new algorithm to standardize the determination of unacceptable HLA mismatches for kidney transplant recipients in Poland. This harmonized approach improves immunologic risk stratification and organ allocation for better transplant outcomes.

Area of Science:

Immunology
Transplantation Science
Clinical Laboratory Medicine

Background:

Global lack of uniform methods for determining unacceptable HLA mismatches (UAMs) leads to varied donor-recipient matching algorithms.
Existing methods for immune evaluation in potential kidney recipients lack standardization, impacting transplant center harmonization.

Purpose of the Study:

To propose changes to the current algorithm for immune evaluation of potential kidney recipients in Poland.
To establish a harmonized, risk-stratified approach for donor-recipient matching based on strict laboratory criteria.

Main Methods:

Development of a step-by-step algorithm for alloantibody assessment using solid-phase assays (SPA).
Defined technical issues and cutoffs for reporting UAMs.

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Extension of laboratory testing including HLA typing, alloantibody detection/characterization, desensitization protocols, and post-transplant monitoring.

Main Results:

The proposed algorithm enables assessment of clinically relevant anti-HLA antibodies with complement binding properties.
Facilitates determination of UAMs, calculation of virtual panel reactive antibodies (vPRA), and recipient immunologic risk stratification.
Enables assessment of donor-recipient virtual cross-match (vXM) and guides selection for biological cross-match testing.

Conclusions:

The optimized algorithm provides UAM verification based on laboratory-proven data, improving organ allocation and transplant outcomes in Poland.
This novel approach enhances individual patient risk stratification and supports personalized treatment strategies.
Harmonization of HLA matching protocols across transplant centers is crucial for optimizing kidney transplantation.