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Combined molecular mismatch scores for immunologic risk stratification in pediatric heart transplantation
Mitchell A Ellison1, Qingyong Xu2, Adriana Zeevi2
1University of Pittsburgh Medical Center (UPMC).
Purpose Of Review:
This article will review the use of HLA molecular mismatch algorithms to predict the risk of de-novo DSA and rejection in pediatric heart transplant recipients. Here, we will focus on results obtained using the combined algorithm approach pairing HLAMatchmaker or HLA-EMMA with PIRCHE-II.
Recent Findings:
The combined algorithm approach was recently used to assess risk of de-novo DSA and rejection in a pediatric heart transplant cohort from Clinical Trials in Organ Transplant in Children 04/09. This approach to analyzing HLA molecular mismatch data allowed for a more granular assessment of de-novo DSA and rejection risk than any individual algorithm.
Summary:
Advances in HLA molecular mismatch methods may enable personalized immunosuppression management that improves outcomes of pediatric heart transplant recipients.
